{"as_of":"2026-08-24T03:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e6eebd78447ae9986e941d03bf40777054ddf44923024d40022df850fdaf65a","coverage":[{"denominator":296,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T11:50:26.030339Z","state":"measured"},{"denominator":200,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":200,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":120,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:42:31.213132Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":27,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2309.03409","last_updated":"2024-04-15T07:50:32Z","snapshot_observed_at":"2026-08-15T09:21:11.223719Z","submitted_at":"2023-09-07T00:07:15Z","title":"Large Language Models as Optimizers","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T00:04:31.212102Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2309.03409"},"observation_digest":"sha256:c2e5cc08e61c35a0215ab24fac488c706e96238745137d3aef9124bcd944d167","observation_id":"cd307b95-8a80-410d-aedb-b57386e5dfde","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-12T20:41:19.148990Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09449","last_updated":"2024-11-14T13:52:43Z","snapshot_observed_at":"2026-08-15T10:04:04.093945Z","submitted_at":"2024-11-14T13:52:43Z","title":"Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T20:41:19.148990Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2411.09449"},"observation_digest":"sha256:37de1fb1c3c3b42ed1ee0a64c9e6c19fa80faaca7505948a00500c0149191200","observation_id":"e8293111-bf34-4eec-97ac-94f23be1c0b9","resolution":{"observed_at":"2026-08-12T20:41:19.148990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-12T16:21:08.154418Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13543","last_updated":"2025-04-01T14:45:22Z","snapshot_observed_at":"2026-08-17T20:50:49.728665Z","submitted_at":"2024-11-20T18:54:32Z","title":"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T16:21:08.154418Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2411.13543"},"observation_digest":"sha256:8a80b01c0b2d07f800f9f97cf6db0d2ffbd2559b66eb975460fda84013478f62","observation_id":"16f2cbee-9e2c-4ff3-b79b-350670fca0c1","resolution":{"observed_at":"2026-08-12T16:21:08.154418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-12T12:50:17.068014Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16905","last_updated":"2024-11-25T20:16:16Z","snapshot_observed_at":"2026-08-20T12:10:39.651688Z","submitted_at":"2024-11-25T20:16:16Z","title":"Boundless Socratic Learning with Language Games","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T12:50:17.068014Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2411.16905"},"observation_digest":"sha256:3fd7b5523b5a55752668abd2e32a8405740f65a65c8825819fddbbd591e19023","observation_id":"54281454-919e-410c-a0a9-b4389a39edf0","resolution":{"observed_at":"2026-08-12T12:50:17.068014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-11T22:57:01.642298Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution, 2023 b","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02980","last_updated":"2024-12-09T22:23:41Z","snapshot_observed_at":"2026-08-15T13:18:49.671776Z","submitted_at":"2024-12-04T02:47:45Z","title":"Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T22:57:01.642298Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2412.02980"},"observation_digest":"sha256:4fe66d9d3708f0ef69b658753ebe57b5795ac884f6117ea97ec5eb3c51b4b24f","observation_id":"88f73475-dc91-4167-b578-16b4c9e04ebc","resolution":{"observed_at":"2026-08-11T22:57:01.642298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-11T20:59:01.620130Z","title":"Banarse, Henryk Michalewski, Simon Osindero, and Tim Rockt \\\"a schel","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05093","last_updated":"2024-12-06T14:50:01Z","snapshot_observed_at":"2026-08-24T00:25:22.687743Z","submitted_at":"2024-12-06T14:50:01Z","title":"Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T20:59:01.620130Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2412.05093"},"observation_digest":"sha256:ff3d54145307613079b56b1cde552d40d5c4f416f0764305732b75aa0227f405","observation_id":"6644f211-9dff-436b-8a1c-6b216cc5065c","resolution":{"observed_at":"2026-08-11T20:59:01.620130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-11T05:41:06.093393Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17298","last_updated":"2025-01-12T20:13:35Z","snapshot_observed_at":"2026-08-21T19:21:23.527010Z","submitted_at":"2024-12-23T05:41:01Z","title":"Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T05:41:06.093393Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2412.17298"},"observation_digest":"sha256:def3327c4acbe878643b47bc1effc810e8d06e6f832e9241549704e3a0acd93c","observation_id":"0c255de1-08e6-4caa-a121-ef8a41008a21","resolution":{"observed_at":"2026-08-11T05:41:06.093393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-11T00:08:16.180220Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19684","last_updated":"2025-02-17T15:32:50Z","snapshot_observed_at":"2026-08-18T09:40:01.388208Z","submitted_at":"2024-12-27T15:21:17Z","title":"Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T00:08:16.180220Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2412.19684"},"observation_digest":"sha256:d084e6ce1a074fc79885050f4642626b919eb965b4acccb797a9bbd9eceafe22","observation_id":"c4d149d7-1b65-4d24-b358-762ae1f9cfb4","resolution":{"observed_at":"2026-08-11T00:08:16.180220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T21:38:56.342135Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04393","last_updated":"2025-01-08T10:10:29Z","snapshot_observed_at":"2026-08-18T06:11:12.392095Z","submitted_at":"2025-01-08T10:10:29Z","title":"SEO: Stochastic Experience Optimization for Large Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T21:38:56.342135Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.04393"},"observation_digest":"sha256:37a23bb250bcf2fa169ddac7be2b3dec08042ac72c308dfaedc3080e1bb43e1c","observation_id":"33c907f7-c432-48de-aada-3cffd1ac6564","resolution":{"observed_at":"2026-08-10T21:38:56.342135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T20:57:57.228068Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.06689","last_updated":"2025-02-26T16:36:55Z","snapshot_observed_at":"2026-08-16T01:07:00.211036Z","submitted_at":"2025-01-12T02:43:59Z","title":"TAPO: Task-Referenced Adaptation for Prompt Optimization","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:57:57.228068Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.06689"},"observation_digest":"sha256:bf20d9dbb02c1de1214201c7c8d82ea1c059b5cc6c2d3b98b3b1126e59d3bb5d","observation_id":"7dbaf967-916d-481c-bd3a-7dc686e5df20","resolution":{"observed_at":"2026-08-10T20:57:57.228068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-15T21:20:59.128986Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.09686"},"observation_digest":"sha256:5fea831fa59bf7ce3c387c2ac7cd52d182b9f9fe8c6493fea7fbb76ca5e2b1eb","observation_id":"f62bd649-d081-48f1-aaa2-a53defa21b10","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T19:39:10.443257Z","title":"Fernando, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09891","last_updated":"2025-01-17T00:41:44Z","snapshot_observed_at":"2026-08-15T02:23:45.719567Z","submitted_at":"2025-01-17T00:41:44Z","title":"Evolving Deeper LLM Thinking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T19:39:10.443257Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.09891"},"observation_digest":"sha256:6d008a5047b44511d97b07b99926af5539ec49a22fd6b8509beafdf437005be7","observation_id":"0a5fd0c2-3ce6-4ed1-8b55-2514021c1654","resolution":{"observed_at":"2026-08-10T19:39:10.443257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T17:14:06.659718Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12521","last_updated":"2025-01-21T22:24:03Z","snapshot_observed_at":"2026-08-13T10:08:12.836488Z","submitted_at":"2025-01-21T22:24:03Z","title":"An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T17:14:06.659718Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.12521"},"observation_digest":"sha256:d6a7f16ac589d272659bda1204d8dab364deec0a625e095975c40ca947be366d","observation_id":"7bd00904-5d0d-4675-962b-b513b7d6a7b8","resolution":{"observed_at":"2026-08-10T17:14:06.659718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T16:19:44.578237Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13351","last_updated":"2025-02-04T02:33:36Z","snapshot_observed_at":"2026-08-21T11:42:08.523676Z","submitted_at":"2025-01-23T03:28:38Z","title":"50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:19:44.578237Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.13351"},"observation_digest":"sha256:168b13c3969c3c382486a3c8c8c974f77c511ecb733175189c111e6ee0c4193b","observation_id":"2f113cb1-c48e-4eae-8827-375cb8792a0a","resolution":{"observed_at":"2026-08-10T16:19:44.578237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T05:55:07.651619Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16884","last_updated":"2025-06-11T07:02:02Z","snapshot_observed_at":"2026-08-20T09:29:31.610583Z","submitted_at":"2025-01-28T12:13:07Z","title":"Irony Detection, Reasoning and Understanding in Zero-shot Learning","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T05:55:07.651619Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.16884"},"observation_digest":"sha256:41e191bbec6a177c4376a09452e3e8d695443724144417feb5c1f32d275ba0fc","observation_id":"f0eb2fe5-b2b8-4cb4-a628-bc46b236e57d","resolution":{"observed_at":"2026-08-10T05:55:07.651619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-10T15:02:43.177549Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.17178","last_updated":"2025-05-27T07:58:46Z","snapshot_observed_at":"2026-08-16T16:53:33.920688Z","submitted_at":"2025-01-24T17:01:14Z","title":"Tuning LLM Judge Design Decisions for 1/1000 of the Cost","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T15:02:43.177549Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2501.17178"},"observation_digest":"sha256:99bf3753afc35507f810fbc20e603c733220c3ad5df064e0ed04b65399b77b89","observation_id":"1d22ed4d-dcb4-4b55-8273-7c8f6bfd21f7","resolution":{"observed_at":"2026-08-10T15:02:43.177549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-09T18:00:22.145044Z","title":"Promptbreeder: Self-referential self- improvement via prompt evolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00728","last_updated":"2025-02-02T09:22:39Z","snapshot_observed_at":"2026-08-14T02:20:08.368283Z","submitted_at":"2025-02-02T09:22:39Z","title":"Meta-Prompt Optimization for LLM-Based Sequential Decision Making","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-09T18:00:22.145044Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2502.00728"},"observation_digest":"sha256:82c3b37a42e7b1ba114cef79ed73790c5801068d32910bd0b9e07b53548d9d4b","observation_id":"2d270bcf-542e-4ff5-92df-397c10ffe41f","resolution":{"observed_at":"2026-08-09T18:00:22.145044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-08T22:57:12.667166Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04306","last_updated":"2025-02-06T18:47:49Z","snapshot_observed_at":"2026-08-14T21:16:48.876864Z","submitted_at":"2025-02-06T18:47:49Z","title":"ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T22:57:12.667166Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2502.04306"},"observation_digest":"sha256:aaa22ef94c9f71b9756c682a8f412b5c6c030007b7e926903bf67fd5f870394f","observation_id":"22a688a3-97ee-4aec-b0a7-5bcd43a35937","resolution":{"observed_at":"2026-08-08T22:57:12.667166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-16T11:33:02.730370Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15257","last_updated":"2025-04-21T17:35:42Z","snapshot_observed_at":"2026-08-16T11:27:17.531953Z","submitted_at":"2025-04-21T17:35:42Z","title":"FlowReasoner: Reinforcing Query-Level Meta-Agents","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:33:02.730370Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2504.15257"},"observation_digest":"sha256:5076773b567e332cba572a314c26307f0555e424d7992e4d30bdb60bd9e5ccfa","observation_id":"1ff623bb-f82c-4f37-810b-996ca568ab5f","resolution":{"observed_at":"2026-08-16T11:33:02.730370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-16T11:42:31.213132Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.16129","last_updated":"2026-05-30T09:48:39Z","snapshot_observed_at":"2026-08-18T01:57:24.551549Z","submitted_at":"2025-04-21T07:03:54Z","title":"MARFT: Multi-Agent Reinforcement Fine-Tuning","version":5},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T11:42:31.213132Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2504.16129"},"observation_digest":"sha256:e475ae0830a7588dd36b71a3412ef269d7c12db12ff77cfdb204890cf34c8448","observation_id":"b7ce1f31-b946-472a-ba34-a710a67a8dc5","resolution":{"observed_at":"2026-08-16T11:42:31.213132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-16T10:14:32.301280Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18722","last_updated":"2025-04-25T22:20:04Z","snapshot_observed_at":"2026-08-20T17:36:58.373544Z","submitted_at":"2025-04-25T22:20:04Z","title":"MODP: Multi Objective Directional Prompting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:14:32.301280Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2504.18722"},"observation_digest":"sha256:00fff9667a2c8d28494461e7133f784fb15163a0f4e8a780e2b4f86e6402e5ee","observation_id":"7254dde4-9527-4c99-b09a-7c4489321636","resolution":{"observed_at":"2026-08-16T10:14:32.301280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T22:59:01.880886Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.05863","last_updated":"2025-05-09T07:57:10Z","snapshot_observed_at":"2026-08-19T10:18:03.019734Z","submitted_at":"2025-05-09T07:57:10Z","title":"Evolutionary ecology of words","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:59:01.880886Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.05863"},"observation_digest":"sha256:3042a32175ff4209983daf43997d07bc999921400d1b16941f527304b5cc3c6c","observation_id":"9e9c9023-47d8-4b29-8835-1555b292a497","resolution":{"observed_at":"2026-08-15T22:59:01.880886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T22:36:44.616226Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07886","last_updated":"2025-05-11T00:56:03Z","snapshot_observed_at":"2026-08-24T01:21:30.527937Z","submitted_at":"2025-05-11T00:56:03Z","title":"PLHF: Prompt Optimization with Few-Shot Human Feedback","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T22:36:44.616226Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.07886"},"observation_digest":"sha256:49b846bae3b4f01775fb7a289142dab57cae82638a58d831a1e3843735ce0b85","observation_id":"5d52a647-5800-4f1d-b00d-bf4ad610997b","resolution":{"observed_at":"2026-08-15T22:36:44.616226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T21:11:18.241510Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10495","last_updated":"2025-05-15T16:53:45Z","snapshot_observed_at":"2026-08-22T03:12:49.394571Z","submitted_at":"2025-05-15T16:53:45Z","title":"RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T21:11:18.241510Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.10495"},"observation_digest":"sha256:7f216c66f8a4be0857a08d42532e79f27a8f9d3f203fa19cbba354e8234ba6e8","observation_id":"6f21e87c-86d8-479d-895b-6b4c8cf93071","resolution":{"observed_at":"2026-08-15T21:11:18.241510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T21:10:19.854062Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10640","last_updated":"2025-06-02T20:08:34Z","snapshot_observed_at":"2026-08-18T09:36:23.346739Z","submitted_at":"2025-05-15T18:22:45Z","title":"The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:19.854062Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.10640"},"observation_digest":"sha256:5975848a5b51481aec34d754a3938f8583f67d08eee6a9e67cf0a3af2e0ed6ca","observation_id":"8e0b4bcb-21c8-4ba8-a867-89b8d3a3efed","resolution":{"observed_at":"2026-08-15T21:10:19.854062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T21:08:45.537546Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10736","last_updated":"2025-08-18T18:02:26Z","snapshot_observed_at":"2026-08-19T18:50:27.154970Z","submitted_at":"2025-05-15T22:41:30Z","title":"Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T21:08:45.537546Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.10736"},"observation_digest":"sha256:32a35c14050df50298396271d5b49eeb96a0417f1c04cc43e2b2ff5e7c1f7723","observation_id":"97f014f6-b0ce-448b-a7e6-8969fe648b78","resolution":{"observed_at":"2026-08-15T21:08:45.537546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T15:14:07.662714Z","title":"Prompt- breeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15741","last_updated":"2025-05-21T16:48:28Z","snapshot_observed_at":"2026-08-19T14:09:20.264603Z","submitted_at":"2025-05-21T16:48:28Z","title":"Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:14:07.662714Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2505.15741"},"observation_digest":"sha256:6518c229da173b7ff1a951bebe9b41ad6888b3641c68a56a39a26e91e6616ce8","observation_id":"b8056b6b-304e-4c76-b3fa-3b42cb5db34d","resolution":{"observed_at":"2026-08-07T15:14:07.662714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T12:15:37.480916Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00178","last_updated":"2025-07-22T18:01:11Z","snapshot_observed_at":"2026-08-07T23:16:23.624156Z","submitted_at":"2025-05-30T19:33:41Z","title":"Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:15:37.480916Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.00178"},"observation_digest":"sha256:7001693482be2502cfc7986d2aed8c4ef8211d6d68ab872493873a5dea895703","observation_id":"ba16d8a6-cc89-488b-b509-6560b4501f7f","resolution":{"observed_at":"2026-08-07T12:15:37.480916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T11:27:26.033037Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02480","last_updated":"2025-06-03T05:51:35Z","snapshot_observed_at":"2026-08-17T22:42:36.901634Z","submitted_at":"2025-06-03T05:51:35Z","title":"ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:27:26.033037Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.02480"},"observation_digest":"sha256:92ecbe225cd28196a54bf0fcccf4f8c42d55a6ae1507bab0c48bde175e43baca","observation_id":"ad6a0d1d-3515-4b5c-a54f-a370cc37fc25","resolution":{"observed_at":"2026-08-07T11:27:26.033037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T11:18:42.454284Z","title":"Fernando, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02951","last_updated":"2025-07-23T03:40:09Z","snapshot_observed_at":"2026-08-14T00:03:14.534757Z","submitted_at":"2025-06-03T14:46:00Z","title":"Adaptive Graph Pruning for Multi-Agent Communication","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:42.454284Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.02951"},"observation_digest":"sha256:9174639d5c7c5d59f4444eca9ebba2cb258254f8e8762eaac4cf56c7bb8885a2","observation_id":"cd00f561-4d8e-457f-9215-853c40887cc0","resolution":{"observed_at":"2026-08-07T11:18:42.454284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T05:32:22.125343Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07759","last_updated":"2025-06-09T13:38:28Z","snapshot_observed_at":"2026-08-09T02:20:17.888524Z","submitted_at":"2025-06-09T13:38:28Z","title":"REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:32:22.125343Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.07759"},"observation_digest":"sha256:b1668892f38fc63bfe470227ec9185d967c791dfcf2f1191fba77fab5d0d6189","observation_id":"96e4c839-f7ea-41ad-abb7-2901e4a75775","resolution":{"observed_at":"2026-08-07T05:32:22.125343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T05:10:39.510387Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-20T22:29:01.952768Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.510387Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:7af96c72e0e5f73927e0a2db87f105ce8a410a0ee3d47c16124b0c0c71db6d67","observation_id":"552b034e-9c43-41e5-8efe-3ddb14102fad","resolution":{"observed_at":"2026-08-07T05:10:39.510387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2506.13131","last_updated":"2025-06-16T06:37:18Z","snapshot_observed_at":"2026-08-20T22:23:36.450758Z","submitted_at":"2025-06-16T06:37:18Z","title":"AlphaEvolve: A coding agent for scientific and algorithmic discovery","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T21:27:23.987121Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.13131"},"observation_digest":"sha256:07686678979c77f26690ee6b2ddcb0bbb407b0813f0c8d9a632af837c767b108","observation_id":"38dc29cc-61af-4d52-91cb-93311ade4808","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T19:07:06.834277Z","title":"arXiv preprint arXiv:2309.16797 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17700","last_updated":"2025-06-21T12:25:37Z","snapshot_observed_at":"2026-08-18T09:26:29.102965Z","submitted_at":"2025-06-21T12:25:37Z","title":"The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:07:06.834277Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.17700"},"observation_digest":"sha256:b8ca2e23d06d696c608a8850f8199980c2a4199bf91a1f63a410c9b48b8eeddf","observation_id":"74de4ca0-446f-4e53-8669-9807dc73c55a","resolution":{"observed_at":"2026-08-15T19:07:06.834277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-06T20:21:21.764324Z","title":"Fernando, et al., ”Promptbreeder: Self-referential self-improvement via prompt evolution,” arXiv preprint arXiv:2309.16797 , 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03223","last_updated":"2025-07-03T23:44:50Z","snapshot_observed_at":"2026-08-16T17:28:12.296798Z","submitted_at":"2025-07-03T23:44:50Z","title":"SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:21:21.764324Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.03223"},"observation_digest":"sha256:f09750ff537e30862a2f9f95612f5e31e3f15b185afbb61311a259e629b1dbe4","observation_id":"4b778348-061b-4f59-909d-5343130e9b39","resolution":{"observed_at":"2026-08-06T20:21:21.764324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-06T18:33:03.266877Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08109","last_updated":"2025-07-10T18:52:09Z","snapshot_observed_at":"2026-08-17T11:55:41.321805Z","submitted_at":"2025-07-10T18:52:09Z","title":"Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T18:33:03.266877Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.08109"},"observation_digest":"sha256:8652a2b18b20b8749a07ab317185d4f2ea6608ca09d80042c2a63d91d4471e71","observation_id":"f034e8c8-1c08-4166-87e4-b72030c2e8ca","resolution":{"observed_at":"2026-08-06T18:33:03.266877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-06T16:11:25.667041Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15884","last_updated":"2025-07-18T21:46:15Z","snapshot_observed_at":"2026-08-16T17:28:07.666752Z","submitted_at":"2025-07-18T21:46:15Z","title":"Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:11:25.667041Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.15884"},"observation_digest":"sha256:4390d5bea379957d09268e5ea1f2f2d11fe1d7065e0e7809ec3b52c2987546c4","observation_id":"3e4d6172-e0ca-4bbc-bc18-7b24711eed66","resolution":{"observed_at":"2026-08-06T16:11:25.667041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-06T15:12:01.817591Z","title":"arXiv preprint arXiv:2309.16797 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16518","last_updated":"2026-06-24T02:00:50Z","snapshot_observed_at":"2026-08-14T10:18:10.416379Z","submitted_at":"2025-07-22T12:27:08Z","title":"SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:01.817591Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.16518"},"observation_digest":"sha256:f2c00a82a36090ec12ce14b8026d39d327d0388ca374f57c1384a0b36cd86f62","observation_id":"0b560cfa-fead-4c2f-9857-6b8eb216a547","resolution":{"observed_at":"2026-08-06T15:12:01.817591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-15T17:45:48.480065Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20541","last_updated":"2025-09-05T08:42:04Z","snapshot_observed_at":"2026-08-16T00:59:45.133911Z","submitted_at":"2025-07-28T05:56:40Z","title":"MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T17:45:48.480065Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.20541"},"observation_digest":"sha256:0a9acadf1c20283c00b89dff8ba5d2a4ccd77e77771ea425b728fef446a6601c","observation_id":"3716b52e-bda0-4faa-89c7-e69615f0bf42","resolution":{"observed_at":"2026-08-15T17:45:48.480065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2507.21046","last_updated":"2026-01-16T20:59:08Z","snapshot_observed_at":"2026-08-01T06:32:44.461162Z","submitted_at":"2025-07-28T17:59:05Z","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","version":4},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-14T22:23:14.621091Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2507.21046"},"observation_digest":"sha256:a02546ca2e960709b65db379c8523669938645be2c4b8106ec59b95ca85dd970","observation_id":"9a4c0261-4fba-427e-af59-37cdc6048234","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T22:40:28.162136Z","title":"Activation patching: Measuring causal effects in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06776","last_updated":"2025-08-09T02:05:59Z","snapshot_observed_at":"2026-08-21T18:23:19.633416Z","submitted_at":"2025-08-09T02:05:59Z","title":"Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:40:28.162136Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2508.06776"},"observation_digest":"sha256:7152201590d8fada3553269a849a8ab16ae43a7a2b01e69da89a1825d4df11c3","observation_id":"3faac3b9-3573-4e8e-8951-607d05efc627","resolution":{"observed_at":"2026-08-05T22:40:28.162136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T21:01:24.658581Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09586","last_updated":"2025-08-20T07:50:49Z","snapshot_observed_at":"2026-08-15T14:05:01.976977Z","submitted_at":"2025-08-13T07:59:29Z","title":"EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T21:01:24.658581Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2508.09586"},"observation_digest":"sha256:01a66c0d99714f50fa0be75f5ab6d01d2b8dfef0324bd969882824942903d00a","observation_id":"e92b32bf-8e84-436f-bd72-9edbb3694ca3","resolution":{"observed_at":"2026-08-05T21:01:24.658581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T16:17:28.925633Z","title":"Fernando, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.18749","last_updated":"2025-08-26T07:25:45Z","snapshot_observed_at":"2026-08-14T06:45:33.249990Z","submitted_at":"2025-08-26T07:25:45Z","title":"Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:17:28.925633Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2508.18749"},"observation_digest":"sha256:a1efb64b1f445508c51aedae47f09e461888a2b17b737a30f037dac430e151fa","observation_id":"ae68412d-aae0-47f9-b793-f2a1fa5a430d","resolution":{"observed_at":"2026-08-05T16:17:28.925633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T10:27:27.969158Z","title":"Promptbreeder: Self-referential self- improvement via prompt evolution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.05375","last_updated":"2025-09-04T11:52:19Z","snapshot_observed_at":"2026-08-18T14:29:46.922946Z","submitted_at":"2025-09-04T11:52:19Z","title":"Characterizing Fitness Landscape Structures in Prompt Engineering","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T10:27:27.969158Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2509.05375"},"observation_digest":"sha256:9108cd02d62769b4ecf9e4c7210458f3642eac80217b6a01cc83c2a7db130913","observation_id":"86bfd0bf-7b02-408c-9ded-5cd7074d2500","resolution":{"observed_at":"2026-08-05T10:27:27.969158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-04T09:42:42.901144Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.14150","last_updated":"2026-05-28T13:36:14Z","snapshot_observed_at":"2026-08-19T09:35:23.739455Z","submitted_at":"2025-10-15T22:58:06Z","title":"CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization","version":5},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T09:42:42.901144Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2510.14150"},"observation_digest":"sha256:f32f5f92b1fb302f5b45483efed2fb3d3ea0b6bf1353647d2d56f4a409870652","observation_id":"1a3ae984-1fd2-4c5f-9776-9120c3cf0276","resolution":{"observed_at":"2026-08-04T09:42:42.901144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-03T22:03:18.442773Z","title":"ArXivabs/2309.16797(2023),https://api.semanticscholar.org/CorpusID: 263310323","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.12487","last_updated":"2026-01-24T06:07:58Z","snapshot_observed_at":"2026-08-20T06:07:09.386078Z","submitted_at":"2025-11-16T07:47:31Z","title":"ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T22:03:18.442773Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2511.12487"},"observation_digest":"sha256:0e7e7d10066886475798f70046984e1f3e0fa44abd52b9823d64a244cff72bf3","observation_id":"fb485255-9eab-436c-a36a-a8f031adbb96","resolution":{"observed_at":"2026-08-03T22:03:18.442773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2512.08984","last_updated":"2026-05-09T13:00:27Z","snapshot_observed_at":"2026-08-16T13:22:33.346005Z","submitted_at":"2025-12-06T01:53:02Z","title":"RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-17T01:56:11.598426Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2512.08984"},"observation_digest":"sha256:8bb951b74ab61dda7e15db845e829391932a37f5523359ef1ddb2857932e373d","observation_id":"b1858a75-7280-497f-8668-c7fa2d797fba","resolution":{"observed_at":"2026-05-17T01:58:51.504565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-03T11:14:51.689818Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.07152","last_updated":"2026-01-12T02:49:09Z","snapshot_observed_at":"2026-08-13T21:46:54.981431Z","submitted_at":"2026-01-12T02:49:09Z","title":"Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version)","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T11:14:51.689818Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2601.07152"},"observation_digest":"sha256:2973311f3b49fe64e0a15bcd7219f913717dbdf1ac655408d551b4ae8f7f84da","observation_id":"0b7a4c2a-82bf-4764-bcbf-464ac73789f3","resolution":{"observed_at":"2026-08-03T11:14:51.689818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2601.20981","last_updated":"2026-04-21T09:20:29Z","snapshot_observed_at":"2026-08-16T00:55:31.084941Z","submitted_at":"2026-01-28T19:29:54Z","title":"Diversifying Toxicity Search in Large Language Models Through Speciation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T09:40:40.955703Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2601.20981"},"observation_digest":"sha256:224a7e3eaf437d45f7a74981b735e1e4b3f7af8f4125d7ba1cbd5a86d762c406","observation_id":"ca55ef19-0ca1-4edd-8b30-7b078cde8069","resolution":{"observed_at":"2026-05-16T09:40:48.710626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-02T23:52:42.685932Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.12450","last_updated":"2026-06-08T00:59:55Z","snapshot_observed_at":"2026-08-17T11:55:46.331306Z","submitted_at":"2026-02-12T22:14:07Z","title":"Empirical Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T23:52:42.685932Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2602.12450"},"observation_digest":"sha256:fccef9fef25a6b4975eb16bb4bd533f3c11ae92bd569a1d6ed63a51dc5974737","observation_id":"d99fc1e3-9ff1-4914-b1bf-152d3640d97a","resolution":{"observed_at":"2026-08-02T23:52:42.685932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-02T19:22:25.347680Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.02630","last_updated":"2026-05-29T15:37:29Z","snapshot_observed_at":"2026-08-02T19:22:22.341348Z","submitted_at":"2026-03-03T05:59:05Z","title":"MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-02T19:22:25.347680Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2603.02630"},"observation_digest":"sha256:c5c2a63d8f09840df6d1c93bf8dbe8489ac815a668f9d1bddba86b54a2a19954","observation_id":"85bbdbd7-b8ec-49c5-92ec-6aff600fce73","resolution":{"observed_at":"2026-08-02T19:22:25.347680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2603.12510","last_updated":"2026-04-03T20:23:41Z","snapshot_observed_at":"2026-08-15T03:36:26.499499Z","submitted_at":"2026-03-12T22:58:42Z","title":"Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-15T11:18:36.479092Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2603.12510"},"observation_digest":"sha256:cd37defcbad80a496239632561d9d0f5648fc6d8d810707137a9e3399a76c492","observation_id":"0ba1a20e-8bc9-43e0-a20d-048d09d00aab","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-02T17:02:49.035999Z","title":"differentiation","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2604.00830","last_updated":"2026-07-15T15:27:23Z","snapshot_observed_at":"2026-08-22T05:54:30.800913Z","submitted_at":"2026-04-01T12:41:01Z","title":"Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T17:02:49.035999Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.00830"},"observation_digest":"sha256:e9eb5403bf3f7444dcf86dbde8d9361b8f993935176cbf7370ed5149f47d16ef","observation_id":"ac17ea42-d237-445b-8c90-0793782e3c0e","resolution":{"observed_at":"2026-08-02T17:02:49.035999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.09741","last_updated":"2026-04-09T23:27:46Z","snapshot_observed_at":"2026-08-12T19:08:46.072373Z","submitted_at":"2026-04-09T23:27:46Z","title":"ExecTune: Effective Steering of Black-Box LLMs with Guide Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-10T16:55:34.091812Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.09741"},"observation_digest":"sha256:66fd082ff740ef5baba1e1592843dd085ba54d9f596d488e11c2ef48dc2272b0","observation_id":"a8a2cb08-48dc-40a2-9ad2-8d8c9f7a0df6","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.09791","last_updated":"2026-04-10T18:13:09Z","snapshot_observed_at":"2026-08-17T10:00:31.904489Z","submitted_at":"2026-04-10T18:13:09Z","title":"Pioneer Agent: Continual Improvement of Small Language Models in Production","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-10T17:48:40.520740Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.09791"},"observation_digest":"sha256:b36323ef6a95344fc265d90d41d25b767493b34f82e186f46427a61392dccd26","observation_id":"3ea86da7-6d6c-4e60-98ca-d62f032f8cba","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.11328","last_updated":"2026-04-13T11:31:04Z","snapshot_observed_at":"2026-08-12T15:04:44.243472Z","submitted_at":"2026-04-13T11:31:04Z","title":"Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T15:47:45.677717Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.11328"},"observation_digest":"sha256:0ed47285b39c46ffd9992976f064f20079dbfbc9905529d92133254cead404bb","observation_id":"79b224d2-5a63-4cc2-a4a9-37b1e89ee1b9","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.12601","last_updated":"2026-04-14T11:27:32Z","snapshot_observed_at":"2026-07-06T23:00:46.620106Z","submitted_at":"2026-04-14T11:27:32Z","title":"LLM-Guided Prompt Evolution for Password Guessing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T14:50:46.308625Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.12601"},"observation_digest":"sha256:79a366cd4deca5ebe4add2cf3e3473a9c57ddc8d25a978cde040f69f59c5bc13","observation_id":"96284270-64d9-4920-bf92-9898469fb8c9","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.14585","last_updated":"2026-05-27T06:20:29Z","snapshot_observed_at":"2026-08-15T11:50:23.792579Z","submitted_at":"2026-04-16T03:23:46Z","title":"Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T11:18:09.127345Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.14585"},"observation_digest":"sha256:9fb7b13ffe6b4c8bbacb7efb5279fa9db469dda20a7b01e0a4adb90d05a84ab4","observation_id":"3aaabc08-91e6-469c-bb94-94d182475b28","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.18607","last_updated":"2026-04-12T12:42:09Z","snapshot_observed_at":"2026-08-12T15:04:23.368876Z","submitted_at":"2026-04-12T12:42:09Z","title":"TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-10T15:54:54.771572Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.18607"},"observation_digest":"sha256:f096bc3da6c7f46dc8636386ffb79857b30fe3043b3ab6dbb11d6addfa80bde2","observation_id":"e1b6e3ec-0b0a-4223-8525-58414964ef3e","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.21765","last_updated":"2026-04-23T15:18:50Z","snapshot_observed_at":"2026-08-14T00:35:54.213025Z","submitted_at":"2026-04-23T15:18:50Z","title":"PrismaDV: Automated Task-Aware Data Unit Test Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-09T22:14:30.829159Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.21765"},"observation_digest":"sha256:1c9c4b89a59633d1af760039fd21284df4f731c9daf3354c9ba3bb150794d18f","observation_id":"b1b8517d-d1b2-4ac3-bae5-eb41e3a71439","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2604.23640","last_updated":"2026-04-26T10:09:26Z","snapshot_observed_at":"2026-08-13T22:06:01.064282Z","submitted_at":"2026-04-26T10:09:26Z","title":"Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T05:22:06.652805Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2604.23640"},"observation_digest":"sha256:9cd149aa80d5bb6ca885fb478f3d9b86b90a86b2e4ba96c932220f8127808dca","observation_id":"d7ad45ff-64d8-4169-ae7f-95d5996edb57","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.04107","last_updated":"2026-05-04T15:35:45Z","snapshot_observed_at":"2026-08-14T06:32:33.541048Z","submitted_at":"2026-05-04T15:35:45Z","title":"TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-08T17:42:23.586416Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.04107"},"observation_digest":"sha256:df39e840e98f3fa44209d9596a5dc1a913b2c4f321d66690df2e6e145a1202c0","observation_id":"71636ab2-0183-44a5-b61d-ae3a7f6b4106","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.08769","last_updated":"2026-05-09T07:55:12Z","snapshot_observed_at":"2026-08-12T15:05:27.433686Z","submitted_at":"2026-05-09T07:55:12Z","title":"EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T02:29:55.683565Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.08769"},"observation_digest":"sha256:3b8c56956867031a00cd421f66376ec58c0eb157062b1f4188a0b76a6a382099","observation_id":"441f64ec-f8ca-4cb5-a1cf-0d331b546b88","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.10366","last_updated":"2026-05-11T11:09:32Z","snapshot_observed_at":"2026-08-11T14:55:01.989485Z","submitted_at":"2026-05-11T11:09:32Z","title":"EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T04:16:22.289519Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.10366"},"observation_digest":"sha256:8ca608a38a72ce16361256dd25c19980b47561f89f06fa3705c302959262ead6","observation_id":"2b8000fb-bc8f-49ff-8a0c-fcc59bb7e32f","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.12484","last_updated":"2026-05-14T17:49:32Z","snapshot_observed_at":"2026-08-12T18:28:37.189735Z","submitted_at":"2026-05-12T17:58:20Z","title":"Learning, Fast and Slow: Towards LLMs That Adapt Continually","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T05:00:31.452781Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.12484"},"observation_digest":"sha256:1487fef197900e8f0e603f7f100b4f0d4421bece9394fdb23fbb908fe7422239","observation_id":"1750adf9-34ca-433a-8422-e0c7924dafb4","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.12484","last_updated":"2026-05-14T17:49:32Z","snapshot_observed_at":"2026-08-12T18:28:37.189735Z","submitted_at":"2026-05-12T17:58:20Z","title":"Learning, Fast and Slow: Towards LLMs That Adapt Continually","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T05:19:05.368681Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.12484"},"observation_digest":"sha256:a7124e77636a5251e7c935b1211b6415a8e192fb5ce89e0ac99c182201ec66b8","observation_id":"8365d67f-e784-4f49-9896-9d61443a7635","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.13384","last_updated":"2026-05-13T11:43:01Z","snapshot_observed_at":"2026-08-14T12:25:31.921352Z","submitted_at":"2026-05-13T11:43:01Z","title":"Teaching and Learning under Deductive Errors","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-14T20:27:55.194641Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.13384"},"observation_digest":"sha256:bee5a56b6528bf6a37648498db5b35beba827ef52f578e3737aecdf75aa63bfa","observation_id":"9a2bae4f-40ed-4e83-b62f-9538e1d441ba","resolution":{"observed_at":"2026-05-16T08:12:31.711130Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.15665","last_updated":"2026-05-15T06:43:07Z","snapshot_observed_at":"2026-08-15T00:30:15.730973Z","submitted_at":"2026-05-15T06:43:07Z","title":"PRISM: Prompt Reliability via Iterative Simulation and Monitoring for Enterprise Conversational AI","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-20T19:23:52.217664Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.15665"},"observation_digest":"sha256:a54380824263bc1423a0de6ad90c3c78d1520d52d9d989f89b6106eb14119fbe","observation_id":"8192de5b-eb00-4693-90b3-fed27efc8e09","resolution":{"observed_at":"2026-05-20T19:23:54.327596Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.15721","last_updated":"2026-05-15T08:17:21Z","snapshot_observed_at":"2026-08-15T01:49:45.811390Z","submitted_at":"2026-05-15T08:17:21Z","title":"Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T19:05:58.638818Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.15721"},"observation_digest":"sha256:c2a9084ed02ec2a26546a1e11d49af9a0c15eefeccf2a0f05aa0beb0dfda99ca","observation_id":"6a29473b-1da6-4716-9e0e-13fceba77975","resolution":{"observed_at":"2026-05-20T19:08:54.422327Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.16233","last_updated":"2026-05-15T17:42:49Z","snapshot_observed_at":"2026-08-16T15:35:30.331679Z","submitted_at":"2026-05-15T17:42:49Z","title":"FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T18:47:34.221197Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.16233"},"observation_digest":"sha256:c00b7fc194b408f0d820ce10f49d8a41ead1862b0af9b47be4218f87e1847a7c","observation_id":"67fa9c4b-dbac-447d-ae1e-56eefeefde95","resolution":{"observed_at":"2026-05-20T18:48:53.266542Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.17510","last_updated":"2026-05-17T15:45:47Z","snapshot_observed_at":"2026-08-03T10:11:52.187850Z","submitted_at":"2026-05-17T15:45:47Z","title":"Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-19T22:29:17.058647Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.17510"},"observation_digest":"sha256:d66a8d4be7664347629f8c60c83e8975c0f95045702ad3822594bbc9646bb19b","observation_id":"98d254c0-e4ca-4397-8a0d-e0b68a37e883","resolution":{"observed_at":"2026-05-19T22:32:49.738005Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.19093","last_updated":"2026-05-18T20:28:17Z","snapshot_observed_at":"2026-08-15T10:39:56.192137Z","submitted_at":"2026-05-18T20:28:17Z","title":"Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-20T10:21:46.912554Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.19093"},"observation_digest":"sha256:586a960ee761165a30aaadaeda01315f61b17d3af3da1c2b0f0a2a8031fbbb60","observation_id":"7212ff78-8296-4cdc-a676-3c58451cbdff","resolution":{"observed_at":"2026-05-20T10:23:12.006971Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.19102","last_updated":"2026-05-18T20:42:23Z","snapshot_observed_at":"2026-08-16T22:00:18.739740Z","submitted_at":"2026-05-18T20:42:23Z","title":"Prompt Optimization for LLM Code Generation via Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-20T08:49:36.986452Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.19102"},"observation_digest":"sha256:6a1b44a09bad6c71821310c6695868d2a5909542476f61b8bc2a7ccc6c1fbe96","observation_id":"0c22cbfc-736a-4016-9e8c-beeb7d60795b","resolution":{"observed_at":"2026-05-20T08:53:10.335483Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.19633","last_updated":"2026-05-19T10:18:12Z","snapshot_observed_at":"2026-08-19T14:39:34.546718Z","submitted_at":"2026-05-19T10:18:12Z","title":"optimize_anything: A Universal API for Optimizing any Text Parameter","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T05:43:07.394497Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.19633"},"observation_digest":"sha256:0609dbd0d60d97446303f3528336938b261fb8e400bbb43093051bae0a113acb","observation_id":"cb0e805b-b09d-431f-a5e2-1fbfe2d24bd7","resolution":{"observed_at":"2026-05-20T05:43:23.304109Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.21318","last_updated":"2026-05-20T15:47:26Z","snapshot_observed_at":"2026-08-15T09:54:09.150460Z","submitted_at":"2026-05-20T15:47:26Z","title":"TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T05:00:49.763040Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.21318"},"observation_digest":"sha256:43936690597781873c7265f92017098da09e8c6ea92c9ae69c29f6d9505fb012","observation_id":"2d70de9c-b7fa-4bda-8e2d-2e9c254677a0","resolution":{"observed_at":"2026-05-21T05:03:57.990626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.21516","last_updated":"2026-05-15T12:47:13Z","snapshot_observed_at":"2026-08-17T06:55:41.301663Z","submitted_at":"2026-05-15T12:47:13Z","title":"Harnesses for Inference-Time Alignment over Execution Trajectories","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-22T01:03:56.207217Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.21516"},"observation_digest":"sha256:92b50b74c14ec424de3e9eebe224c04fb26fd1d7c7e02bd7fc96a01602314031","observation_id":"510d2e2b-9116-4cc5-97f5-2a5f19a8c825","resolution":{"observed_at":"2026-05-22T01:04:31.950070Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.21792","last_updated":"2026-05-20T22:36:11Z","snapshot_observed_at":"2026-08-17T16:45:31.819782Z","submitted_at":"2026-05-20T22:36:11Z","title":"Residual Skill Optimization for Text-to-SQL Ensembles","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T08:38:41.126772Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.21792"},"observation_digest":"sha256:371f50e51667747174282bf3a96635c7023b9716e232a4ac0857dfcb27a33df7","observation_id":"3d2329ca-7a3c-4828-8678-e2304b35a15c","resolution":{"observed_at":"2026-05-22T08:41:17.233324Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.22166","last_updated":"2026-05-27T04:34:36Z","snapshot_observed_at":"2026-07-06T23:32:30.578213Z","submitted_at":"2026-05-21T08:36:49Z","title":"Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-22T06:10:26.185447Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.22166"},"observation_digest":"sha256:e1d05143302ce81dc4dfeb445e400118372e65306ba22703d8919555bb66773b","observation_id":"fbaa143c-a990-4fef-b83d-3a33eead0715","resolution":{"observed_at":"2026-05-22T06:11:08.899146Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.26554","last_updated":"2026-05-26T05:07:25Z","snapshot_observed_at":"2026-08-15T11:20:20.720751Z","submitted_at":"2026-05-26T05:07:25Z","title":"Linear and Neural Dueling Bandits with Delayed Feedback","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-29T20:02:37.326350Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.26554"},"observation_digest":"sha256:43726edf33387c8046de5144f6b5756fd03b50d4d0fc0d7fc32550da7bd7296c","observation_id":"a0cafc07-58d4-4205-b6bc-8b99dd19fa98","resolution":{"observed_at":"2026-06-29T20:03:56.214665Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.26655","last_updated":"2026-05-26T07:39:36Z","snapshot_observed_at":"2026-08-12T15:05:31.234058Z","submitted_at":"2026-05-26T07:39:36Z","title":"Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-29T18:26:56.988465Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.26655"},"observation_digest":"sha256:0985159b34dcac75b0b6d169c93969e2240444440c1838166215f799bf83e433","observation_id":"d6f53c64-9467-4495-b6e5-df4b18be3919","resolution":{"observed_at":"2026-06-29T18:33:50.842266Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2605.27671","last_updated":"2026-05-26T20:48:33Z","snapshot_observed_at":"2026-08-14T23:52:30.983627Z","submitted_at":"2026-05-26T20:48:33Z","title":"Evolving and Detecting Multi-Turn Deception using Geometric Signatures","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T15:17:58.804973Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2605.27671"},"observation_digest":"sha256:3ece67599fffa561f3198637d00ba1517be486c1627c29e7e33a75b3f079f876","observation_id":"a3ffbf23-d3d8-4609-b085-c61421730eff","resolution":{"observed_at":"2026-06-29T15:23:32.679001Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.00295","last_updated":"2026-05-29T19:26:53Z","snapshot_observed_at":"2026-07-06T23:41:01.066075Z","submitted_at":"2026-05-29T19:26:53Z","title":"Adaptive Order Policies for Masked Diffusion","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-06-28T23:33:40.937370Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.00295"},"observation_digest":"sha256:3cdb4add81052fba8a20329bb24661a2bd84fb75ade1157811a19857827e36ad","observation_id":"51f35de7-ffa2-4a05-8efd-d8749e85ffa1","resolution":{"observed_at":"2026-06-28T23:42:49.854471Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.00619","last_updated":"2026-05-30T08:47:33Z","snapshot_observed_at":"2026-07-06T23:41:19.955034Z","submitted_at":"2026-05-30T08:47:33Z","title":"MemPro: Agentic Memory Systems as Evolvable Programs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-28T19:15:09.245175Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.00619"},"observation_digest":"sha256:a343ab5af3474342f7a98db07ee6eecf16d7e191177db842d50d6b43acdefd62","observation_id":"95abdac4-28ab-44ca-bde0-c3340e3ea462","resolution":{"observed_at":"2026-06-28T19:22:34.768435Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.01286","last_updated":"2026-05-31T15:12:16Z","snapshot_observed_at":"2026-08-15T12:46:15.619493Z","submitted_at":"2026-05-31T15:12:16Z","title":"BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T16:49:50.653594Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.01286"},"observation_digest":"sha256:7ba3880704d80bc34b959771b40eb76b5308179447984d92febf23f69a70a32d","observation_id":"c1a0e95b-ef4b-4533-94da-9f1e5d762f44","resolution":{"observed_at":"2026-07-01T21:36:14.692019Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.08106","last_updated":"2026-06-06T11:12:11Z","snapshot_observed_at":"2026-08-21T05:44:35.734694Z","submitted_at":"2026-06-06T11:12:11Z","title":"PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T19:55:21.823153Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.08106"},"observation_digest":"sha256:0d94595062f5826a0e12b4817df97f0d0b6e693d630e4af3c7cf71c456372178","observation_id":"99b5779a-a55f-4a1f-930c-3b32c0b187f7","resolution":{"observed_at":"2026-07-02T21:07:24.056943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.08867","last_updated":"2026-06-07T22:44:00Z","snapshot_observed_at":"2026-08-03T19:07:50.944087Z","submitted_at":"2026-06-07T22:44:00Z","title":"Building Customer Support AI Agents at 100M-User Scale: An Evaluation-Driven Framework","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T18:21:57.096578Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.08867"},"observation_digest":"sha256:2fbab111dd7431264d178e71f7c9792046c2d3f37f136f3f044fbdcca6ddfdb6","observation_id":"f7038597-40b1-43d1-a8f6-21095bcbbfb1","resolution":{"observed_at":"2026-07-02T23:17:29.474324Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.11182","last_updated":"2026-06-09T17:57:16Z","snapshot_observed_at":"2026-08-05T01:27:29.248920Z","submitted_at":"2026-06-09T17:57:16Z","title":"EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T13:34:32.750618Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.11182"},"observation_digest":"sha256:8c5b71aeb6b442d424a19e65f6b17fd27005fc94f5abc68aa362983be1f7b2ee","observation_id":"3b31e2e3-4abd-42f6-89a2-47f85db06690","resolution":{"observed_at":"2026-07-03T04:47:38.818473Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.12279","last_updated":"2026-06-10T16:18:36Z","snapshot_observed_at":"2026-08-18T11:28:59.026376Z","submitted_at":"2026-06-10T16:18:36Z","title":"Mathematical perspective on genetic algorithms with optimization guided operators","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-06-27T07:34:35.422699Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.12279"},"observation_digest":"sha256:d4a3acdf4e55cb2d8357927ae0c915823d246e6987c707b59bfb42d76c8c6e4b","observation_id":"e567f280-dfdf-467f-b051-5aead4c4d184","resolution":{"observed_at":"2026-07-03T13:48:20.790924Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.20475","last_updated":"2026-06-18T16:54:25Z","snapshot_observed_at":"2026-08-17T00:46:48.934209Z","submitted_at":"2026-06-18T16:54:25Z","title":"Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-26T17:45:49.272070Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.20475"},"observation_digest":"sha256:b09ffbe58804f47078a21047adb60634d43daf48604f3542b58a2b582dd221e6","observation_id":"7d44691c-1735-45b0-9a77-a650b8676418","resolution":{"observed_at":"2026-07-04T03:39:30.769982Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.23664","last_updated":"2026-06-22T17:48:40Z","snapshot_observed_at":"2026-08-11T07:23:29.810451Z","submitted_at":"2026-06-22T17:48:40Z","title":"MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-26T09:15:50.722199Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.23664"},"observation_digest":"sha256:7bbf0aca963efa6d61bb92ba7e451b9aff878daae4ba0815e23bd78dde31adba","observation_id":"ef1435cb-147b-461e-8bd5-27342d0b7b50","resolution":{"observed_at":"2026-07-04T09:59:45.558860Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.24004","last_updated":"2026-06-29T07:01:12Z","snapshot_observed_at":"2026-08-12T14:10:50.106399Z","submitted_at":"2026-06-22T23:21:55Z","title":"Towards Spec Learning: Inference-Time Alignment from Preference Pairs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T07:49:36.816100Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.24004"},"observation_digest":"sha256:b43e429a0b6bdb7c7f24e6d1cb00035c9264c279bfe8f0c1b9b63c3b3be18717","observation_id":"ecba0da0-35f2-4093-9953-a003380f521d","resolution":{"observed_at":"2026-07-04T11:39:47.144936Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.24004","last_updated":"2026-06-29T07:01:12Z","snapshot_observed_at":"2026-08-12T14:10:50.106399Z","submitted_at":"2026-06-22T23:21:55Z","title":"Towards Spec Learning: Inference-Time Alignment from Preference Pairs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T10:17:33.176525Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.24004"},"observation_digest":"sha256:577f0bb968d3026b6593267347a837e744d98dda1f4cfd13e6ea77a640a9a628","observation_id":"d9c28382-2a55-4e57-baee-e9829f0487c1","resolution":{"observed_at":"2026-06-30T12:04:39.423137Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.24166","last_updated":"2026-06-23T05:40:05Z","snapshot_observed_at":"2026-08-14T11:11:05.066717Z","submitted_at":"2026-06-23T05:40:05Z","title":"Distributed Quality-Diversity Search for Toxicity in Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-25T22:12:27.301100Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.24166"},"observation_digest":"sha256:5d9e69653db41f566214c68b98c6bccc93508afec7945ebb7597feb698a0556c","observation_id":"74f35ad4-6966-43bb-ac2e-d64406842499","resolution":{"observed_at":"2026-07-04T19:00:04.616574Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.25996","last_updated":"2026-07-04T15:07:51Z","snapshot_observed_at":"2026-08-07T11:35:11.679286Z","submitted_at":"2026-06-24T16:08:31Z","title":"Autodata: An agentic data scientist to create high quality synthetic data","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-06-25T19:50:35.574454Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.25996"},"observation_digest":"sha256:244ac105b0cf01a6e883284bc27155b04add426888e62d37f9b6fdd7735f21e9","observation_id":"aa1ec076-c216-47f8-87aa-76f1e0dd2f7a","resolution":{"observed_at":"2026-07-04T20:40:08.256943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.25996","last_updated":"2026-07-04T15:07:51Z","snapshot_observed_at":"2026-08-07T11:35:11.679286Z","submitted_at":"2026-06-24T16:08:31Z","title":"Autodata: An agentic data scientist to create high quality synthetic data","version":2},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-06-26T05:16:12.361470Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.25996"},"observation_digest":"sha256:211362f6570c742d7845dc7966cb0c8e9465252e455c3c11ce0151b2f3247bc4","observation_id":"11761ca7-c1f9-48af-b0dc-044d5c3760a7","resolution":{"observed_at":"2026-07-04T13:19:51.285042Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-07-12T12:08:06.206832Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.25996","last_updated":"2026-07-04T15:07:51Z","snapshot_observed_at":"2026-08-07T11:35:11.679286Z","submitted_at":"2026-06-24T16:08:31Z","title":"Autodata: An agentic data scientist to create high quality synthetic data","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-12T12:08:06.206832Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.25996"},"observation_digest":"sha256:40b7870983dfec4eeab7aaf071d0e4c2841d8c44786cff42155977e0d4f121f6","observation_id":"38e9ed9e-e8f6-4a06-bf8a-8581047810ad","resolution":{"observed_at":"2026-07-12T12:08:06.206832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.26173","last_updated":"2026-06-24T10:05:03Z","snapshot_observed_at":"2026-08-13T12:18:27.499479Z","submitted_at":"2026-06-24T10:05:03Z","title":"AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T01:53:05.638642Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.26173"},"observation_digest":"sha256:4dd29daabeb0e96ef87cef1c1091124a6e1fc49d143b6b41f117c8f1713382b4","observation_id":"64f273e5-b713-4454-977d-d96418cb2c66","resolution":{"observed_at":"2026-07-04T15:09:54.473639Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.28374","last_updated":"2026-06-17T14:53:36Z","snapshot_observed_at":"2026-08-12T22:53:59.869398Z","submitted_at":"2026-06-17T14:53:36Z","title":"Recursive Self-Evolving Agents via Held-Out Selection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T11:13:15.923479Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.28374"},"observation_digest":"sha256:2d65e39a2a228eac4e069ae91cafd888346c1bdadedbec31da7cf9ba0b456790","observation_id":"c2e61268-0529-4299-b400-ce3f9cc80b38","resolution":{"observed_at":"2026-06-30T11:14:37.512439Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2606.30840","last_updated":"2026-06-29T19:16:07Z","snapshot_observed_at":"2026-08-12T07:42:11.866640Z","submitted_at":"2026-06-29T19:16:07Z","title":"Contrastive Reflection for Iterative Prompt Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T02:02:22.841488Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2606.30840"},"observation_digest":"sha256:e4b816381ed10f94982d91fd472dca8f1465dad9a7c456bb765d1ca3e9ccda08","observation_id":"7c97e44d-2a28-45c7-9713-5cedc0607108","resolution":{"observed_at":"2026-07-01T12:25:44.296436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":"2309.16797","doi":"10.48550/arxiv.2309.16797","metadata_source":"pith","pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","venue":"cs.CL","work_id":"01508be0-d975-4ff6-8045-1e0b229fbab4","year":2023},"citing_paper":{"arxiv_id":"2607.01224","last_updated":"2026-07-01T17:57:03Z","snapshot_observed_at":"2026-08-15T01:40:52.018434Z","submitted_at":"2026-07-01T17:57:03Z","title":"AutoMem: Automated Learning of Memory as a Cognitive Skill","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-02T12:09:32.053764Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2607.01224"},"observation_digest":"sha256:a01c4a12ddfd3bdb478f56b3ddcd5ea2f17733e4653eca6495fe1b4a75246f63","observation_id":"fe43cad0-5f0d-441b-8e6f-f53c1b47ada9","resolution":{"observed_at":"2026-07-02T12:16:56.535496Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.16797/citation-record","integrity":"/paper/2309.16797/integrity","json":"/paper/2309.16797/citation-record.json","paper":"/paper/2309.16797"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.00114","last_updated":"2021-11-30T21:32:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-30T21:32:46Z","title":"Show Your Work: Scratchpads for Intermediate Computation with Language Models","version":1},"cited_work":{"arxiv_id":"2112.00114","doi":"10.48550/arxiv.2112.00114","metadata_source":"pith","pith_arxiv_id":"2112.00114","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Show Your Work: Scratchpads for Intermediate Computation with Language Models","venue":"cs.LG","work_id":"a05b1e60-8e76-4f26-9bea-28927a5f8620","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2112.00114","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7f6844c64a763185c72b399ea09c39b7a59108d3f512d3a5e7ffabee74d46004","observation_id":"70aa645c-a388-401c-905e-ce747fa3a937","resolution":{"observed_at":"2026-05-16T08:12:35.360130Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-05-23T16:25:23.975867+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:23.975867+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"1995 , publisher=","venue":null,"work_id":"07683f0c-cb34-47d6-83ae-f5d0726ac43a","year":1995},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:45760495e4b6e128b05c4657b0f84d30f9d3104e4b10511f526525e112b1bccf","observation_id":"57983afe-c988-4c8b-9b3e-9adc40c44fb9","resolution":{"observed_at":"2026-05-16T08:12:35.534665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS , year =","venue":null,"work_id":"387c2ec4-3205-43fa-9107-bd3febe774bc","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:6fdf4a2b5a5e91d3b5789af24b53d11e092f5fba6b82b4da70afbd8c7451dd39","observation_id":"cfc16a35-ceb7-4538-9901-32fbf1db4073","resolution":{"observed_at":"2026-05-16T08:12:35.539065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The Eleventh International Conference on Learning Representations","venue":null,"work_id":"399e38b9-d994-4207-a188-550020e608cf","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e56754da5d36ca0ec75388e15b1a3dc667a1279565222cdbad1475c6d65087c3","observation_id":"ac899382-7318-403f-8ea2-ebc578ff80cf","resolution":{"observed_at":"2026-05-16T08:12:35.530160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03495","last_updated":"2023-10-19T04:37:25Z","snapshot_observed_at":"2026-08-16T15:35:36.835145Z","submitted_at":"2023-05-04T15:15:22Z","title":"Automatic Prompt Optimization with \"Gradient Descent\" and Beam Search","version":2},"cited_work":{"arxiv_id":"2305.03495","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03495","snapshot_observed_at":"2026-07-04T18:40:03.102880Z","title":"Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C","venue":null,"work_id":"8f5910e5-bea1-4761-87ec-05f692dd6f04","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2305.03495","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:ff41743cc631250e54ac9432fb8ddcb3cf4b8556af5e508918bc39083901f208","observation_id":"213284a3-377b-4f83-b988-8249236fa8cc","resolution":{"observed_at":"2026-05-16T08:12:35.372889Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09797","last_updated":"2024-10-07T04:28:04Z","snapshot_observed_at":"2026-08-16T15:39:13.160910Z","submitted_at":"2023-04-19T16:29:48Z","title":"Progressive-Hint Prompting Improves Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":"2304.09797","doi":"10.48550/arxiv.2304.09797","metadata_source":"pith","pith_arxiv_id":"2304.09797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Progressive-hint prompting improves reasoning in large language models","venue":"cs.CL","work_id":"9aa19a03-b5e5-4a8b-9a9b-c8f38d16c7d2","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.09797","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:09c71d18c842d6e284bec922bef3a5c48af0f836d54004187209d3593578f16c","observation_id":"aa88305c-8476-475a-9e5e-d2536fe638b4","resolution":{"observed_at":"2026-05-16T08:12:35.363571Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Artificial Intelligence , volume=","venue":null,"work_id":"bbfd288d-fc69-4ea0-b486-7afa3321f52e","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7abb5ca3350aa2255ac4e6a16a6be2e754562f573ec669368828b2da5960d9da","observation_id":"cc46273f-c46b-4ba2-ae3d-d19963a69f3b","resolution":{"observed_at":"2026-05-16T08:12:35.536802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04091","last_updated":"2023-05-26T07:06:48Z","snapshot_observed_at":"2026-08-15T11:15:42.066340Z","submitted_at":"2023-05-06T16:34:37Z","title":"Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models","version":3},"cited_work":{"arxiv_id":"2305.04091","doi":"10.48550/arxiv.2305.04091","metadata_source":"pith","pith_arxiv_id":"2305.04091","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models","venue":"cs.CL","work_id":"077c8bd4-de74-49bd-be87-4cb72bac1b73","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2305.04091","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:affdfca97cd9e98ac606ec6b23b1e667b481dedb082dbf3b4f785bf7b560f442","observation_id":"4bfc98ac-3b5e-42f6-afee-5091e2e77be1","resolution":{"observed_at":"2026-05-16T08:43:46.984626Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10625","last_updated":"2023-04-16T22:08:08Z","snapshot_observed_at":"2026-08-16T05:27:41.446467Z","submitted_at":"2022-05-21T15:34:53Z","title":"Least-to-Most Prompting Enables Complex Reasoning in Large Language Models","version":3},"cited_work":{"arxiv_id":"2205.10625","doi":"10.48550/arxiv.2205.10625","metadata_source":"pith","pith_arxiv_id":"2205.10625","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Least-to-Most Prompting Enables Complex Reasoning in Large Language Models","venue":"cs.AI","work_id":"7e58c111-4666-4996-b5ad-1c8efd433083","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2205.10625","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:fe0f14de9bbba922d1bcef868e1a6aac8ac46bdd756f54604be0d1013ba59958","observation_id":"04b97e5f-3360-4339-af4e-16768cd35bd0","resolution":{"observed_at":"2026-05-16T08:12:35.369966Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17651","last_updated":"2023-05-25T19:13:47Z","snapshot_observed_at":"2026-08-21T18:20:05.692256Z","submitted_at":"2023-03-30T18:30:01Z","title":"Self-Refine: Iterative Refinement with Self-Feedback","version":2},"cited_work":{"arxiv_id":"2303.17651","doi":"10.1007/s10664-008-","metadata_source":"pith","pith_arxiv_id":"2303.17651","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Self-Refine: Iterative Refinement with Self-Feedback","venue":"cs.CL","work_id":"59181e7f-e58e-45d3-8146-4477a9f53d5a","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.17651","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:48f75f6533912320c7a82bbc6e659c7140fd8505bf3e8bc983fb16cc23a13460","observation_id":"ebc1ab84-7e32-41a6-9ad8-5c194d4c3270","resolution":{"observed_at":"2026-05-16T08:12:31.233031Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chi and Quoc V","venue":null,"work_id":"e5146dbc-54b0-40cd-a84c-3d72af59c83f","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:2ddc33b4a6eab6f7da887d70af00f0eaa67f73b9ab0bdb2066e58c82408da424","observation_id":"95f0e8ab-7c95-44b3-8f3e-844e12bfb562","resolution":{"observed_at":"2026-05-16T08:12:35.525565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2014 , publisher=","venue":null,"work_id":"26046c5e-aff7-4621-b122-3659421d5f5c","year":2014},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:3fa37ee7b998b3aed91bb3256b5b6c6ef091c4f151d56b1814a033d4fa54d468","observation_id":"1fb2162a-e51c-4ca9-b546-a7317019453a","resolution":{"observed_at":"2026-05-16T08:12:35.532284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Swarm and evolutionary computation , volume=","venue":null,"work_id":"228d880f-6148-4667-8a4e-d08477351de9","year":2011},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:d5a196e10e1541a2ddb31e2b7df65bf8320ba03e06e03847e2af078e6ee1152c","observation_id":"8ea0df1d-ad1b-4a5a-afbd-f352faa0a85d","resolution":{"observed_at":"2026-05-16T08:12:35.527915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n19-1423","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding","venue":"Proceedings of the 2019 Conference of the North","work_id":"3e3c8ac8-b858-4b22-af32-393d98c883e0","year":2019},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:6e3aae95cb9b9efc6b0e4b1aec49394d37f6d230fda45e682f0b4ec05fd8a586","observation_id":"53ef8172-f165-4e28-bab1-8d0867098d13","resolution":{"observed_at":"2026-05-16T08:12:31.235628Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-17T22:08:05.68493+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-17T22:08:05.68493+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 7th annual conference on Genetic and evolutionary computation , pages=","venue":null,"work_id":"e378293b-7b34-495f-8851-b311038a3b48","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7a7b4c07edcc4184435347d752a4084705d3ac4aabc72566753d54580106a4ed","observation_id":"cc697477-3a4a-4c9f-9d94-d31a2649ab79","resolution":{"observed_at":"2026-05-16T08:12:35.543523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"baa05300-cb21-4342-ba43-32ae37a74b69","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:d8ab5fdac4343291d2dbb861a94ee223d0ae4ac9060d3e2d670d7720c0cf0b35","observation_id":"a3854fc9-4d13-4bbf-8607-9c140d22adf4","resolution":{"observed_at":"2026-05-16T08:12:35.570838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04140","last_updated":"2023-06-07T04:27:09Z","snapshot_observed_at":"2026-08-19T14:16:19.200236Z","submitted_at":"2023-06-07T04:27:09Z","title":"Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions","version":1},"cited_work":{"arxiv_id":"2306.04140","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.04140","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Increas- ing diversity while maintaining accuracy: Text data generation with large language models and human interventions","venue":null,"work_id":"08c14a6d-e350-4dc5-8633-b39b276e7c03","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2306.04140","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:75767a399f756936c4350f3217285f29d6362d948300fa7937c4e942ee03a4f8","observation_id":"3c68e026-e093-43b6-b7b6-70898f9a3435","resolution":{"observed_at":"2026-05-16T08:12:35.396188Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":"e2e6029e-a310-4ae4-92f8-a18bd42a0b54","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:491cceaf19e791d15569e684005af598a1e226f96d3874233001912e81fde4ad","observation_id":"4b767e07-0caf-4b51-b5dd-c0da3238966f","resolution":{"observed_at":"2026-05-16T08:12:35.549613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2017 , month = apr, journal =","venue":null,"work_id":"669bf916-f761-448e-9ae9-61ca9a8aad2a","year":2017},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:ff70962ebc6c8e58562e57bf780340bb48fabacd9ed0020f85a212d31445040b","observation_id":"bbf3981b-1c4d-4b52-bd89-12e62bd1389c","resolution":{"observed_at":"2026-05-16T08:12:35.564920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , month = jun, urldate =","venue":null,"work_id":"c9a95676-a5d1-498b-81fb-61ee3671477a","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:dd609ea00020c2e4cd54206e2b2e0663978feaf0c062b516c7f60a100d2b429d","observation_id":"9718e5ff-0062-4e51-99e8-ac26bafeb465","resolution":{"observed_at":"2026-05-16T08:12:35.576378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , month = may, journal =","venue":null,"work_id":"cb2eaf73-b29a-48e9-a038-cf4b4630edf6","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7b2603f007a3753b16b5e4ac2b625d32bf5439ee16207e8c09e6d42951f5c13f","observation_id":"c0fccd93-8d9c-4cf9-bfb3-0adf55980999","resolution":{"observed_at":"2026-05-16T08:12:35.573622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41586-021-03380-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2021 , month = apr, journal =","venue":"Nature","work_id":"ef6a5ddc-07ad-4fe2-8568-f0a613b1f419","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:f312afe95aca57f098420502823317501822d6404ac8237c0e3dde5c4b887103","observation_id":"00107a0e-2931-46e3-b7d4-52317e14aca7","resolution":{"observed_at":"2026-05-16T08:12:31.237764Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.07608","last_updated":"2023-01-18T15:39:21Z","snapshot_observed_at":"2026-08-16T16:01:39.145118Z","submitted_at":"2023-01-18T15:39:21Z","title":"Human-Timescale Adaptation in an Open-Ended Task Space","version":1},"cited_work":{"arxiv_id":"2301.07608","doi":"10.48550/arxiv.2301.07608","metadata_source":"arxiv_reference","pith_arxiv_id":"2301.07608","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Human-timescale adaptation in an open-ended task space.arXiv preprint arXiv:2301.07608,","venue":"arXiv (Cornell University)","work_id":"c2a96f20-35bb-468f-9f6a-9f265e5621a5","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2301.07608","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:de25a65ad620565ff1ce9530024ad4ec8a7d8f34e6b329fe23a0c6b2830fb836","observation_id":"43e61263-1569-44a2-aa21-095d73e452f1","resolution":{"observed_at":"2026-05-16T08:12:31.240528Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Doren, Charles Van , year =","venue":null,"work_id":"c01cdf4c-62a1-410d-ac36-5b766556b552","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:3ff269030d9178c8fba7f7e9211fde6907c2c5ee589df49c4174530063026e21","observation_id":"c34cca73-0a90-4f6e-90d3-6d5b8fac86a0","resolution":{"observed_at":"2026-05-16T08:12:35.602845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01691","last_updated":"2022-08-16T16:06:33Z","snapshot_observed_at":"2026-08-18T11:44:22.813405Z","submitted_at":"2022-04-04T17:57:11Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","version":2},"cited_work":{"arxiv_id":"2204.01691","doi":"10.48550/arxiv.2204.01691","metadata_source":"pith","pith_arxiv_id":"2204.01691","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","venue":"cs.RO","work_id":"037320f1-b0a9-4cbe-a639-bfb25409ce71","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2204.01691","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:1d988a9c0d72957e166030e2874d8882b89b8b7215b5d1ff0eabd1c69ed2995a","observation_id":"3f1bc5f5-6e10-4b2e-b720-c85cf048815b","resolution":{"observed_at":"2026-05-16T08:12:31.243183Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.14198","last_updated":"2022-11-15T23:07:37Z","snapshot_observed_at":"2026-08-17T03:00:38.806206Z","submitted_at":"2022-04-29T16:29:01Z","title":"Flamingo: a Visual Language Model for Few-Shot Learning","version":2},"cited_work":{"arxiv_id":"2204.14198","doi":"10.48550/arxiv.2204.14198","metadata_source":"pith","pith_arxiv_id":"2204.14198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flamingo: a Visual Language Model for Few-Shot Learning","venue":"cs.CV","work_id":"a110f764-38dc-41b2-a802-53744ecea1fc","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2204.14198","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:a6cda2a6d5701f13646f0a646ee4c114176416b2002bdfc8f583a8f6bbb619bb","observation_id":"b70f5547-fd25-462f-a089-27a04a67daaf","resolution":{"observed_at":"2026-05-16T08:12:31.245786Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"802361de-a21e-4661-85af-49b8aa45ebbd","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:86992ecc98b5255ddbb90f7a0faf881edf771ab17a9e4a923d643ccc332bae29","observation_id":"9bdca0f7-ee0f-49f8-858c-24b26293503c","resolution":{"observed_at":"2026-05-16T08:12:35.585323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10360","last_updated":"2023-02-20T23:30:23Z","snapshot_observed_at":"2026-08-19T10:09:13.144361Z","submitted_at":"2023-02-20T23:30:23Z","title":"Optical Transformers","version":1},"cited_work":{"arxiv_id":"2302.10360","doi":"10.48550/arxiv.2302.10360","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10360","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Ma, Shi-Yuan and Wang, Tianyu and Wright, Logan G","venue":"arXiv (Cornell University)","work_id":"4bac0e77-41af-4230-b594-9f37a6c96d9a","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.10360","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:8d072a5f783e1e344779bdfbc195af6c11f305d33d1699e81ef4389f12ff5628","observation_id":"77114738-6f15-48ec-9671-98914bd47d3b","resolution":{"observed_at":"2026-05-16T08:12:31.248812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c2d8cc2b0370486e41f68c72aac0ded196c55cdd835baa7844606e40a4ec1024","observation_id":"664c519a-1320-46f7-a57e-a298373fa811","resolution":{"observed_at":"2026-05-16T08:12:31.251959Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Expanding","venue":null,"work_id":"563e23c9-64ca-4ae2-b6b9-290aeae2bf7d","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:f02077f901a9933619a5efd805b63f8bef9d30306aa9d6a25a3f1bb6a67bdf70","observation_id":"18119c9c-8acc-441c-ae99-45572be5362e","resolution":{"observed_at":"2026-05-16T08:12:35.567797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Large Language Models Are Not Zero-Shot Communicators , booktitle =","venue":null,"work_id":"6d491fed-7103-4190-a421-1d39b4210241","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:a3e9d5c142abbf75b47c428f6ab3b2e06098c67b6256faa10b199beb08f0d2bc","observation_id":"75785b49-2c34-4394-8faf-9d3d744c9174","resolution":{"observed_at":"2026-05-16T08:12:35.554804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Outcome-Directed","venue":null,"work_id":"10e10d9b-568a-4d2a-a01b-27dbc8cc32bf","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e9a574b3b44ca787df57a17b01b9070503c7004bf06e556d52dbd2b6c8694ee1","observation_id":"e2ca487f-251b-4cfe-9dbb-f5bc34542b31","resolution":{"observed_at":"2026-05-16T08:12:35.541357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00861","last_updated":"2021-12-09T21:40:22Z","snapshot_observed_at":"2026-08-10T12:03:10.373653Z","submitted_at":"2021-12-01T22:24:34Z","title":"A General Language Assistant as a Laboratory for Alignment","version":3},"cited_work":{"arxiv_id":"2112.00861","doi":"10.48550/arxiv.2112.00861","metadata_source":"pith","pith_arxiv_id":"2112.00861","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A General Language Assistant as a Laboratory for Alignment","venue":"cs.CL","work_id":"a43f9ea0-01be-47d5-b8ee-a1a9f73381c5","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2112.00861","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:0e6c161cda31321225f092ddb92c21932dfb82fb68ff2e775c9da9ac4e2ce53a","observation_id":"8dfd7e51-a898-426f-a79d-5ad59ced6fbf","resolution":{"observed_at":"2026-05-16T08:12:31.254973Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-05-20T18:52:13.802987+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T18:52:13.802987+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11592","last_updated":"2018-11-30T15:59:27Z","snapshot_observed_at":"2026-08-16T16:19:59.790705Z","submitted_at":"2018-05-29T17:19:36Z","title":"Playing hard exploration games by watching YouTube","version":2},"cited_work":{"arxiv_id":"1805.11592","doi":"10.48550/arxiv.1805.11592","metadata_source":"pith","pith_arxiv_id":"1805.11592","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Playing hard exploration games by watching YouTube","venue":"cs.LG","work_id":"4a707845-122d-4e0f-902c-37b3247223ed","year":2018},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1805.11592","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:05160e503a24c3781a64e83467ad1841955e28d65a640e7437155e69bf81e52c","observation_id":"4f6d7e2d-6c95-4972-a254-d3093c1ebb07","resolution":{"observed_at":"2026-05-16T08:12:31.257966Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10243","last_updated":"2023-03-07T05:46:46Z","snapshot_observed_at":"2026-08-16T16:23:00.984911Z","submitted_at":"2022-10-19T01:45:29Z","title":"CLUTR: Curriculum Learning via Unsupervised Task Representation Learning","version":2},"cited_work":{"arxiv_id":"2210.10243","doi":"10.48550/arxiv.2210.10243","metadata_source":"arxiv_reference","pith_arxiv_id":"2210.10243","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2210.10243 , urldate =","venue":"arXiv (Cornell University)","work_id":"07af16dc-4cfc-45f2-b302-5cb6a8d0a7b6","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2210.10243","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:f5b29f40f601acf7c25ac6a1a310904609748ce1b2c8374affbe9cc749e35d82","observation_id":"854ccce4-829c-4ebb-8bf2-07f32ea7d25f","resolution":{"observed_at":"2026-05-16T08:12:31.260664Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08466","last_updated":"2023-04-17T17:42:29Z","snapshot_observed_at":"2026-08-20T06:48:47.366338Z","submitted_at":"2023-04-17T17:42:29Z","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","version":1},"cited_work":{"arxiv_id":"2304.08466","doi":"10.48550/arxiv.2304.08466","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08466","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Synthetic data from diffusion models improves imagenet classification","venue":"arXiv (Cornell University)","work_id":"3541fcf8-96da-4459-a91e-24065eaeec72","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.08466","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:eb3961a1ec0562b92939cd2b5501ccfba822f0f228da13830ff1699d7371b96b","observation_id":"f490c62c-6374-4f20-9e8d-1a57ab31e5ea","resolution":{"observed_at":"2026-05-16T08:12:31.263507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04693","last_updated":"2023-02-09T15:22:09Z","snapshot_observed_at":"2026-08-16T15:56:31.544252Z","submitted_at":"2023-02-09T15:22:09Z","title":"Scaling Goal-based Exploration via Pruning Proto-goals","version":1},"cited_work":{"arxiv_id":"2302.04693","doi":"10.48550/arxiv.2302.04693","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.04693","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"218a6a38-c6d0-405a-b896-d02dafe13269","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.04693","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:bc236d693f8d519a91123aecbd5776420836aebae3d008f1c0f6dbe98966cb16","observation_id":"090602f0-ab19-4859-9e80-a7e47f8c0dfe","resolution":{"observed_at":"2026-05-16T08:12:31.266204Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08073","last_updated":"2022-12-15T06:19:23Z","snapshot_observed_at":"2026-08-16T03:49:00.703994Z","submitted_at":"2022-12-15T06:19:23Z","title":"Constitutional AI: Harmlessness from AI Feedback","version":1},"cited_work":{"arxiv_id":"2212.08073","doi":"10.48550/arxiv.2212.08073","metadata_source":"pith","pith_arxiv_id":"2212.08073","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Constitutional AI: Harmlessness from AI Feedback","venue":"cs.CL","work_id":"faaaa4e0-2676-4fac-a0b4-99aef10d2095","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2212.08073","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:6c574c9fd826df4721230877a5a00146c28fb535d170d0213af92231d5486de6","observation_id":"f335503f-b1a3-4808-a0bc-cd2990014756","resolution":{"observed_at":"2026-05-16T08:12:31.268893Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-15T03:08:13.900899+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-15T03:08:13.900899+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.07528","last_updated":"2020-02-11T00:56:50Z","snapshot_observed_at":"2026-08-16T04:32:44.726090Z","submitted_at":"2019-09-17T00:17:02Z","title":"Emergent Tool Use From Multi-Agent Autocurricula","version":2},"cited_work":{"arxiv_id":"1909.07528","doi":"10.48550/arxiv.1909.07528","metadata_source":"pith","pith_arxiv_id":"1909.07528","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Emergent tool use from multi-agent autocurricula","venue":"cs.LG","work_id":"37b00943-cabc-44e4-860e-3b23fecc6fda","year":2019},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1909.07528","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:40a3f95fdc68967b5a736153cec366a959fbdf67f403091124daa47b1c3eea83","observation_id":"4b2765a0-b23f-498d-82a8-78fbda06dd43","resolution":{"observed_at":"2026-05-16T08:12:31.271690Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-09T11:19:02.914475+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T11:19:02.914475+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.11795","last_updated":"2022-06-23T16:01:11Z","snapshot_observed_at":"2026-08-16T16:50:50.118552Z","submitted_at":"2022-06-23T16:01:11Z","title":"Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos","version":1},"cited_work":{"arxiv_id":"2206.11795","doi":"10.48550/arxiv.2206.11795","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.11795","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Video pretraining (vpt): Learning to act by watching unlabeled online videos","venue":"arXiv (Cornell University)","work_id":"2bf44de9-4b8f-4ab3-816e-2ffb5278c578","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2206.11795","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e326f347f1976096eb2fec87a891448a518e8fa1b6ba0972596fae9a0cd07b67","observation_id":"fce01e15-727f-481a-a06c-901bd4b06853","resolution":{"observed_at":"2026-05-16T08:12:31.274505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09485","last_updated":"2021-10-29T20:48:06Z","snapshot_observed_at":"2026-08-21T10:40:30.661483Z","submitted_at":"2021-10-18T17:32:25Z","title":"Learning in High Dimension Always Amounts to Extrapolation","version":2},"cited_work":{"arxiv_id":"2110.09485","doi":"10.48550/arxiv.2110.09485","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09485","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2110.09485 , year=","venue":"arXiv (Cornell University)","work_id":"5d2fef64-c401-4be7-9c14-a27f357e57d8","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2110.09485","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:4675aff042c0448192a6fae7517e79e3c3a7621a6d80f1198b7e3c103d218601","observation_id":"20d9ce6c-9952-48e6-a8c2-6f83d0c7a26b","resolution":{"observed_at":"2026-05-16T08:12:31.278272Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.06105","last_updated":"2022-10-12T13:05:00Z","snapshot_observed_at":"2026-08-16T16:46:20.696762Z","submitted_at":"2022-07-13T10:26:38Z","title":"GriddlyJS: A Web IDE for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2207.06105","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2207.06105","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2022 , month = jul, number =","venue":null,"work_id":"09e26966-4267-476f-8337-d293f640294b","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2207.06105","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e59691a84d7b95d686b0edda28b061c7ac9d3251367163fba66aacb8c2a2d3e3","observation_id":"63906e9b-b8f7-40b1-89a8-21e394fd99af","resolution":{"observed_at":"2026-05-16T08:12:35.375559Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09392","last_updated":"2022-08-19T15:18:39Z","snapshot_observed_at":"2026-08-16T16:38:08.676306Z","submitted_at":"2022-08-19T15:18:39Z","title":"Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise","version":1},"cited_work":{"arxiv_id":"2208.09392","doi":"10.48550/arxiv.2208.09392","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09392","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cold diffusion: Inverting arbitrary image transforms without noise","venue":"arXiv (Cornell University)","work_id":"c4369b7b-de24-4710-843d-67cad977fd85","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2208.09392","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:ad5c27bc624f0dc30d50a77047ebd61cbf3e173aa456af41dbde43acc3759b29","observation_id":"5d7caaec-d8c4-427a-8919-8984901d9e21","resolution":{"observed_at":"2026-05-16T08:12:31.283286Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.16412","last_updated":"2023-11-07T02:37:48Z","snapshot_observed_at":"2026-08-16T16:12:21.403669Z","submitted_at":"2022-11-29T17:34:22Z","title":"Procedural Image Programs for Representation Learning","version":2},"cited_work":{"arxiv_id":"2211.16412","doi":"10.48550/arxiv.2211.16412","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.16412","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Procedural","venue":"arXiv (Cornell University)","work_id":"59f8152b-d9e5-4b7a-a46f-f74f251763c6","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2211.16412","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:45bbe18d5c935cfd6a313809f62eb41e40c8df57a07a5b0247252cd5ae3358ba","observation_id":"ce71a07a-e23d-4e2a-93da-d60c35d1fbe1","resolution":{"observed_at":"2026-05-16T08:12:31.286947Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.13751","last_updated":"2022-07-27T19:10:32Z","snapshot_observed_at":"2026-08-17T04:01:28.792029Z","submitted_at":"2022-07-27T19:10:32Z","title":"GAUDI: A Neural Architect for Immersive 3D Scene Generation","version":1},"cited_work":{"arxiv_id":"2207.13751","doi":"10.48550/arxiv.2207.13751","metadata_source":"arxiv_reference","pith_arxiv_id":"2207.13751","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2207.13751 , urldate =","venue":"arXiv (Cornell University)","work_id":"c2453470-f4b6-48c9-96b8-0c6867b32eb0","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2207.13751","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:4b1d3100a6df24c818b21d255cbc7be91b4fdd26cbe2382bdd7560686ac16916","observation_id":"605bbc9c-a973-41ee-bf07-8a254d516c53","resolution":{"observed_at":"2026-05-16T08:12:31.289643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1207.4708","last_updated":"2013-06-21T18:07:06Z","snapshot_observed_at":"2026-08-20T02:06:05.602175Z","submitted_at":"2012-07-19T15:33:25Z","title":"The Arcade Learning Environment: An Evaluation Platform for General Agents","version":2},"cited_work":{"arxiv_id":"1207.4708","doi":null,"metadata_source":"pith","pith_arxiv_id":"1207.4708","snapshot_observed_at":"2026-07-02T21:27:23.804843Z","title":"The Arcade Learning Environment: An Evaluation Platform for General Agents","venue":"cs.AI","work_id":"fc6c1d23-5d11-4f81-b969-129abe7a8067","year":2012},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1207.4708","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:100204d71919c0c1f949335aa69c646a0c64adf7229c893f0121236823755db5","observation_id":"5055de93-08ac-4ab9-9990-59700204412d","resolution":{"observed_at":"2026-05-16T08:12:31.292704Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.04399","last_updated":"2021-11-19T14:50:32Z","snapshot_observed_at":"2026-08-16T18:18:44.001465Z","submitted_at":"2021-06-08T14:21:10Z","title":"Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation","version":2},"cited_work":{"arxiv_id":"2106.04399","doi":"10.48550/arxiv.2106.04399","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.04399","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"22ddef23-6e3c-4d35-9de6-eafd26e6db92","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2106.04399","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:79a50f31ee48cb6b891fef6125fa32bec590a499e9c64855367dacf5c70bedf9","observation_id":"cc1e7747-00b1-41c7-afd8-7013e307e433","resolution":{"observed_at":"2026-05-16T08:12:31.295643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05237","last_updated":"2022-06-21T09:46:14Z","snapshot_observed_at":"2026-08-16T18:18:19.970296Z","submitted_at":"2021-06-09T17:20:40Z","title":"Knowledge distillation: A good teacher is patient and consistent","version":2},"cited_work":{"arxiv_id":"2106.05237","doi":"10.48550/arxiv.2106.05237","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.05237","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Knowledge distillation for generative models","venue":"arXiv (Cornell University)","work_id":"d91e5a39-d146-452a-abdf-999fb316fd58","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2106.05237","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:abdcce833032878d9b3da2be54287838d748d8c10fbb7b884bade60a57096a1a","observation_id":"1a037e8e-452b-46f7-9a3b-613e22bca833","resolution":{"observed_at":"2026-05-16T08:12:31.298931Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.09863","last_updated":"2022-01-24T18:39:22Z","snapshot_observed_at":"2026-08-16T17:26:19.327208Z","submitted_at":"2022-01-24T18:39:22Z","title":"Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots","version":1},"cited_work":{"arxiv_id":"2201.09863","doi":"10.48550/arxiv.2201.09863","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.09863","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evolution","venue":"arXiv (Cornell University)","work_id":"6a4b32a3-dada-46cd-b1d2-1187e3dfffd9","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2201.09863","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e79e058b32ca30fcf0f377310385013002a81fb230902a0fa505b634611987d1","observation_id":"77a00c0c-3cba-4f20-af98-e3c0935b48cd","resolution":{"observed_at":"2026-05-16T08:12:31.302153Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04199","last_updated":"2022-10-12T03:25:34Z","snapshot_observed_at":"2026-08-19T19:51:36.460044Z","submitted_at":"2022-06-09T00:14:03Z","title":"Deep Surrogate Assisted Generation of Environments","version":3},"cited_work":{"arxiv_id":"2206.04199","doi":"10.48550/arxiv.2206.04199","metadata_source":"pith","pith_arxiv_id":"2206.04199","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Nikolaidis, Stefanos , year =","venue":"cs.AI","work_id":"ec66f417-b2ca-4abd-8442-2033b779535e","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2206.04199","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:07c3dc4d6a33e4d1f3a266b69c9cdde795f45050c900acccd7cdb5b5a44356b5","observation_id":"c2bfd455-eadc-4ab5-97d4-7a12e00d3a47","resolution":{"observed_at":"2026-05-16T08:12:31.305430Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08818","last_updated":"2023-12-28T03:31:59Z","snapshot_observed_at":"2026-08-16T15:39:39.840882Z","submitted_at":"2023-04-18T08:30:32Z","title":"Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models","version":2},"cited_work":{"arxiv_id":"2304.08818","doi":"10.48550/arxiv.2304.08818","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08818","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Align your latents: High-resolution video synthesis with latent diffusion models, 2023 b","venue":"arXiv (Cornell University)","work_id":"76496561-867d-44bb-9836-fef3004046ca","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.08818","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:96051ecac877600075efe70a77fb6ed67e2962060eadce02e6c4138caa05243c","observation_id":"f0e54672-80bc-422a-af4c-5f80bad0191b","resolution":{"observed_at":"2026-05-16T08:12:31.308816Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05332","last_updated":"2023-04-11T16:50:17Z","snapshot_observed_at":"2026-08-18T16:42:12.122727Z","submitted_at":"2023-04-11T16:50:17Z","title":"Emergent autonomous scientific research capabilities of large language models","version":1},"cited_work":{"arxiv_id":"2304.05332","doi":"10.1038/s41586-023-06792-0;arxiv:2304.05332","metadata_source":"pith","pith_arxiv_id":"2304.05332","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Emergent autonomous scientific research capabilities of large language models","venue":"physics.chem-ph","work_id":"13684544-b165-440c-aceb-3470a18b1133","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.05332","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c00cf91b6b9fa12b9ed0ade51febb0f6bb94c92fc8ce12679304c8ad57aadb7b","observation_id":"984b3c96-a24c-4615-a42e-16d5a11822bc","resolution":{"observed_at":"2026-05-19T21:43:44.843677Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09884","last_updated":"2024-03-16T00:02:49Z","snapshot_observed_at":"2026-08-16T15:23:19.044264Z","submitted_at":"2023-06-16T14:52:24Z","title":"Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX","version":2},"cited_work":{"arxiv_id":"2306.09884","doi":"10.48550/arxiv.2306.09884","metadata_source":"pith","pith_arxiv_id":"2306.09884","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jumanji: A","venue":"cs.LG","work_id":"64834bf5-ebb6-4b6f-9300-49f2ada83fbf","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2306.09884","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:872e535e740134c697298329b20922a0d74f1cd236464c6d3eab9bcfb0c8382c","observation_id":"9099ace3-0b92-4b5a-88e7-8cdc8116c452","resolution":{"observed_at":"2026-05-16T08:12:31.315387Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12712","last_updated":"2023-04-13T20:41:31Z","snapshot_observed_at":"2026-08-18T22:17:47.865607Z","submitted_at":"2023-03-22T16:51:28Z","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","version":5},"cited_work":{"arxiv_id":"2303.12712","doi":"10.48550/arxiv.2303.12712","metadata_source":"pith","pith_arxiv_id":"2303.12712","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","venue":"cs.CL","work_id":"a23cfe92-7f7c-424b-98d4-b386a83002fb","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.12712","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:2dfb4278d2b1628496d10523a3ed82c23ac7a554f26cf7af51956eb21c7f5d81","observation_id":"70b5ab1a-20b9-431d-8d7c-ee94e019d855","resolution":{"observed_at":"2026-05-16T08:12:31.318931Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.12894","last_updated":"2018-10-30T17:44:42Z","snapshot_observed_at":"2026-08-14T18:06:54.993797Z","submitted_at":"2018-10-30T17:44:42Z","title":"Exploration by Random Network Distillation","version":1},"cited_work":{"arxiv_id":"1810.12894","doi":"10.48550/arxiv.1810.12894","metadata_source":"pith","pith_arxiv_id":"1810.12894","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploration by Random Network Distillation","venue":"cs.LG","work_id":"5a87fef6-96e2-4d5b-91ec-1a7c9a43cab9","year":2018},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1810.12894","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:55720453082c3e80080ef8e4804c5fd134d1e280c817abebbed4c143595cd13c","observation_id":"616eec04-8ab9-44f6-bd01-b1f29f41258c","resolution":{"observed_at":"2026-05-16T08:12:31.322716Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04932","last_updated":"2022-10-10T18:06:30Z","snapshot_observed_at":"2026-08-16T16:25:29.786714Z","submitted_at":"2022-10-10T18:06:30Z","title":"NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields","version":1},"cited_work":{"arxiv_id":"2210.04932","doi":"10.48550/arxiv.2210.04932","metadata_source":"arxiv_reference","pith_arxiv_id":"2210.04932","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2210.04932 , urldate =","venue":"arXiv (Cornell University)","work_id":"3685a48b-5458-4fce-a123-c1001bb7f891","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2210.04932","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e747333e905dc3316ed21fbf359d7efd29a67be5725987d5d5f3a2484a0dab9a","observation_id":"697ed157-6018-4cd7-9cad-2c9fbe61ef65","resolution":{"observed_at":"2026-05-16T08:12:31.326660Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17126","last_updated":"2024-03-11T01:15:09Z","snapshot_observed_at":"2026-08-16T15:29:12.827405Z","submitted_at":"2023-05-26T17:50:11Z","title":"Large Language Models as Tool Makers","version":2},"cited_work":{"arxiv_id":"2305.17126","doi":"10.48550/arxiv.2305.17126","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17126","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large language models as tool makers","venue":"arXiv (Cornell University)","work_id":"1447b78e-0a79-4af6-8cd4-93220e680d2b","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2305.17126","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c708791cb1424c6363ea2ac21cc0e41de9a1343ea47d5962ccb9aebdc77e04ec","observation_id":"9b9421f0-c448-40ae-b777-4027aae3988b","resolution":{"observed_at":"2026-05-16T08:12:31.331219Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14654","last_updated":"2023-05-24T02:49:43Z","snapshot_observed_at":"2026-08-16T15:30:23.955893Z","submitted_at":"2023-05-24T02:49:43Z","title":"Barkour: Benchmarking Animal-level Agility with Quadruped Robots","version":1},"cited_work":{"arxiv_id":"2305.14654","doi":"10.48550/arxiv.2305.14654","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang- Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, et al","venue":"arXiv (Cornell University)","work_id":"5cbc4004-590c-4f29-af9d-f0ea6f6fe52b","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2305.14654","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:9dfa33f90911462aebcd98c51583b80a0b1657ebd56fa5e7513d2b51868bf9c3","observation_id":"8134564a-00da-4bfd-b977-8478770b1d81","resolution":{"observed_at":"2026-05-16T08:12:31.334949Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.03840","last_updated":"2019-07-08T20:04:22Z","snapshot_observed_at":"2026-08-19T18:04:57.304524Z","submitted_at":"2019-07-08T20:04:22Z","title":"Diverse Agents for Ad-Hoc Cooperation in Hanabi","version":1},"cited_work":{"arxiv_id":"1907.03840","doi":"10.48550/arxiv.1907.03840","metadata_source":"pith","pith_arxiv_id":"1907.03840","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Diverse Agents for Ad-Hoc Cooperation in Hanabi","venue":"cs.AI","work_id":"258d7455-91e3-4548-bd88-a58a49e1e78e","year":2019},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1907.03840","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:d01b3fe0842b58ba558a20d5af8c789d8666624feee3f328a8237679d681af9f","observation_id":"34ec1ce4-e18f-4133-9fb3-c2b73239ce67","resolution":{"observed_at":"2026-05-16T08:12:31.338436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.09632","last_updated":"2023-03-27T16:39:58Z","snapshot_observed_at":"2026-08-16T19:36:35.670161Z","submitted_at":"2023-01-23T18:59:25Z","title":"HexPlane: A Fast Representation for Dynamic Scenes","version":2},"cited_work":{"arxiv_id":"2301.09632","doi":"10.48550/arxiv.2301.09632","metadata_source":"arxiv_reference","pith_arxiv_id":"2301.09632","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cao and J","venue":"arXiv (Cornell University)","work_id":"517a8645-17eb-42a7-892b-39d14ccd3993","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2301.09632","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:a0ccdb1ba58f32a318a75b117c658d402edc4cafa91c7c13d7c6a85935ceeac6","observation_id":"6d71fe01-290b-4873-ad1e-ee08a4019b86","resolution":{"observed_at":"2026-05-16T08:12:31.341981Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2302.02662","doi":"10.48550/arxiv.2302.02662","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Grounding large language models in interactive environments with online reinforcement learning","venue":"Open MIND","work_id":"f27fba54-cfb0-402d-bf64-032927b8901f","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:bc941d6276a82071f6032df510dcd625786b169fd4cc4226c1971464e7bf3f31","observation_id":"05da0187-dc4b-4612-9176-7d541b7f0ff4","resolution":{"observed_at":"2026-05-16T08:12:31.345708Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.15147","last_updated":"2021-09-30T14:10:59Z","snapshot_observed_at":"2026-08-16T17:52:45.718800Z","submitted_at":"2021-09-30T14:10:59Z","title":"Reinforcement Learning with Information-Theoretic Actuation","version":1},"cited_work":{"arxiv_id":"2109.15147","doi":"10.48550/arxiv.2109.15147","metadata_source":"arxiv_reference","pith_arxiv_id":"2109.15147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reinforcement","venue":"arXiv (Cornell University)","work_id":"3d90561e-fdbb-4791-81e1-2b39637b676c","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2109.15147","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:8dfce48a8277a7e74418b23e71a3a59ae1b1871c7e559f39713479bbd2001ccc","observation_id":"ea5bf642-d895-48e8-b52c-342c93692714","resolution":{"observed_at":"2026-05-16T08:12:31.348863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13515","last_updated":"2023-03-23T17:59:40Z","snapshot_observed_at":"2026-08-16T15:45:49.522324Z","submitted_at":"2023-03-23T17:59:40Z","title":"Persistent Nature: A Generative Model of Unbounded 3D Worlds","version":1},"cited_work":{"arxiv_id":"2303.13515","doi":"10.48550/arxiv.2303.13515","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.13515","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Persistent","venue":"arXiv (Cornell University)","work_id":"08151a1b-baf9-47e1-8ca1-1701e77998ff","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.13515","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:88b99108c451b09ab530373ed6616d64c0f4186f310fda20f20323c09ba435d9","observation_id":"b4ae5a19-212d-4722-a042-e7683d59287a","resolution":{"observed_at":"2026-05-16T08:12:31.351821Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.25088/complexsystems.28.3.251","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Complex Systems","work_id":"b540ff20-7b7c-4164-a8dc-755b3f173180","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:93430bea04578bc6584da6d71845f32f8a628e1d5ba4da8c94f48f02735103b9","observation_id":"8cbdd8e0-6884-43e6-a16c-42d59e6cfbb5","resolution":{"observed_at":"2026-05-16T08:12:31.354224Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/isal_a_00297","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lenia and","venue":null,"work_id":"00d8921a-a124-47c5-9fd5-898ca6469525","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:8d7983dffb9ada89246e3bb56601a25ba0ff0fc838b8081e786fe7a92ab80b87","observation_id":"181c0329-59f3-4084-813a-502ba348b383","resolution":{"observed_at":"2026-05-16T08:12:31.357017Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.08222","last_updated":"2022-08-08T13:45:59Z","snapshot_observed_at":"2026-08-16T17:14:17.554656Z","submitted_at":"2022-03-15T19:59:10Z","title":"Zipfian environments for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2203.08222","doi":"10.48550/arxiv.2203.08222","metadata_source":"arxiv_reference","pith_arxiv_id":"2203.08222","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"f030a0b8-1ae7-468f-ab20-fef126818b77","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2203.08222","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:6321f5a050879a322d8be7626793c3c41f9bca29aa0c531a6c375597eda522d6","observation_id":"660a9c7c-075c-418d-b9bf-374869f11d66","resolution":{"observed_at":"2026-05-16T08:12:31.360052Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10329","last_updated":"2023-05-12T02:49:22Z","snapshot_observed_at":"2026-08-22T23:13:17.392250Z","submitted_at":"2023-02-20T21:42:41Z","title":"Harms from Increasingly Agentic Algorithmic Systems","version":2},"cited_work":{"arxiv_id":"2302.10329","doi":"10.48550/arxiv.2302.10329","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10329","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Harms from Increasingly Agentic Algorithmic Systems","venue":"arXiv (Cornell University)","work_id":"69a900f5-cde4-4d80-b32c-991422b2a2cc","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.10329","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:b382ac1535eb0fd3849ec64528e8a534fcf6e2158262efbd406d10179dcf8d14","observation_id":"27e2db01-41a0-462e-96a5-7fee16a50175","resolution":{"observed_at":"2026-05-16T08:12:31.363375Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05639","last_updated":"2023-04-12T06:40:11Z","snapshot_observed_at":"2026-08-16T15:41:06.407553Z","submitted_at":"2023-04-12T06:40:11Z","title":"Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata","version":1},"cited_work":{"arxiv_id":"2304.05639","doi":"10.48550/arxiv.2304.05639","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.05639","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"3e40d72f-e3ab-4955-b3f8-50aae4800e46","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.05639","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:551a471299db4bbb2f692d546be047f0334a862f18a352872a96865e793936cf","observation_id":"899a68dd-e2a9-4818-9cf4-35c65d79a79d","resolution":{"observed_at":"2026-05-16T08:12:31.366604Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.12458","last_updated":"2022-04-26T17:24:36Z","snapshot_observed_at":"2026-08-16T17:04:25.841330Z","submitted_at":"2022-04-26T17:24:36Z","title":"Learning Value Functions from Undirected State-only Experience","version":1},"cited_work":{"arxiv_id":"2204.12458","doi":"10.48550/arxiv.2204.12458","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.12458","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning","venue":"arXiv (Cornell University)","work_id":"097abc10-1248-4f7d-b697-52f33779eed6","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2204.12458","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:ec3b61307953a755dd584a172db9433366af94462fd4ee1110fe287f5f226f45","observation_id":"069b0a87-0dae-43f8-b0b7-8bd99f3b1a39","resolution":{"observed_at":"2026-05-16T08:12:31.369873Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04200","last_updated":"2022-02-08T23:54:06Z","snapshot_observed_at":"2026-08-16T20:31:57.268905Z","submitted_at":"2022-02-08T23:54:06Z","title":"MaskGIT: Masked Generative Image Transformer","version":1},"cited_work":{"arxiv_id":"2202.04200","doi":"10.48550/arxiv.2202.04200","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04200","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"year =","venue":"arXiv (Cornell University)","work_id":"0774ab0b-06e3-4394-95c4-7968f428a143","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2202.04200","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:1a4ef745adda85b376e750a51d43ac4d4a802f84755df7ec4249097492625126","observation_id":"13b6cffd-cc24-4f51-99c6-561d0e4d3c96","resolution":{"observed_at":"2026-05-16T08:12:31.373194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04297","last_updated":"2020-03-09T17:56:49Z","snapshot_observed_at":"2026-07-06T09:03:25.467987Z","submitted_at":"2020-03-09T17:56:49Z","title":"Improved Baselines with Momentum Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2003.04297","doi":"10.48550/arxiv.2003.04297","metadata_source":"pith","pith_arxiv_id":"2003.04297","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Improved Baselines with Momentum Contrastive Learning","venue":"cs.CV","work_id":"f275e715-bcdc-487c-bc31-6f98d8a01f5c","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2003.04297","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:d25dea64e9746eb30a123bd46717182f5d4b1ebdb75b7f29754ab89be9591fd7","observation_id":"38a4fca1-0e82-4a19-9729-27efbe704f63","resolution":{"observed_at":"2026-05-16T08:12:31.377704Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05709","last_updated":"2020-07-01T00:09:08Z","snapshot_observed_at":"2026-08-15T20:49:51.676387Z","submitted_at":"2020-02-13T18:50:45Z","title":"A Simple Framework for Contrastive Learning of Visual Representations","version":3},"cited_work":{"arxiv_id":"2002.05709","doi":"10.48550/arxiv.2002.05709","metadata_source":"pith","pith_arxiv_id":"2002.05709","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Simple Framework for Contrastive Learning of Visual Representations","venue":"cs.LG","work_id":"77d995ce-c44e-4692-9c54-cf8ce771464a","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2002.05709","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7ee10ec2dd51003c1d2d034b8768c453b72231a5d98ac50c28bac23c45bee032","observation_id":"faae1cc7-9dc8-4a4c-963f-b823f52ce92e","resolution":{"observed_at":"2026-05-16T08:12:31.381458Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-10T15:38:38.415822+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-10T15:38:38.415822+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02057","last_updated":"2021-08-16T17:40:21Z","snapshot_observed_at":"2026-08-21T12:16:24.984776Z","submitted_at":"2021-04-05T17:59:40Z","title":"An Empirical Study of Training Self-Supervised Vision Transformers","version":4},"cited_work":{"arxiv_id":"2104.02057","doi":"10.48550/arxiv.2104.02057","metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02057","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An empirical study of training self-supervised vision transformers","venue":"arXiv (Cornell University)","work_id":"3fad1b3f-2ddd-4ef1-95f6-a797e0c02979","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2104.02057","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:50f4d967c643ba7262be80bad5f1c43e4631419ef1500e2b93b4bec8fb676a2c","observation_id":"0db076aa-81db-4f10-995a-66bf1e7b52c6","resolution":{"observed_at":"2026-05-16T08:12:31.385104Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-05-23T20:53:30.196656+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T20:53:30.196656+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04202","last_updated":"2023-03-01T00:18:33Z","snapshot_observed_at":"2026-08-19T04:14:38.173722Z","submitted_at":"2022-08-08T15:08:40Z","title":"Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning","version":2},"cited_work":{"arxiv_id":"2208.04202","doi":"10.48550/arxiv.2208.04202","metadata_source":"pith","pith_arxiv_id":"2208.04202","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Analog bits: Generating discrete data using diffusion models with self-conditioning","venue":"cs.CV","work_id":"89278cce-9610-430c-a4e1-9c5915aa5c95","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2208.04202","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:9766aa8bc118eccc7e749dc3ddfcd4fc2d79afbacb8b8cdb2cef8334348f97e6","observation_id":"e05b2d76-9360-4da1-9578-745506e24951","resolution":{"observed_at":"2026-05-16T08:12:31.388876Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.14838","last_updated":"2023-11-16T18:02:19Z","snapshot_observed_at":"2026-08-21T08:19:08.798898Z","submitted_at":"2023-02-28T18:37:25Z","title":"EvoPrompting: Language Models for Code-Level Neural Architecture Search","version":3},"cited_work":{"arxiv_id":"2302.14838","doi":"10.48550/arxiv.2302.14838","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.14838","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dohan and David R","venue":"arXiv (Cornell University)","work_id":"80c6bf1e-aa52-4830-9f36-0616ee2d8ef8","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.14838","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:69584ffa64bec43c05497eef47912c77add5939baa1e11c143c880ca41f8a323","observation_id":"0d7dc76d-9280-4601-a041-e9dcb5c77f0b","resolution":{"observed_at":"2026-05-16T08:12:31.392004Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06671","last_updated":"2023-02-22T19:18:28Z","snapshot_observed_at":"2026-08-19T14:54:27.107829Z","submitted_at":"2023-02-13T20:18:25Z","title":"GenAug: Retargeting behaviors to unseen situations via Generative Augmentation","version":2},"cited_work":{"arxiv_id":"2302.06671","doi":"10.48550/arxiv.2302.06671","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.06671","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Genaug: Retargeting behaviors to unseen situations via generative augmentation.arXiv preprint arXiv:2302.06671","venue":"arXiv (Cornell University)","work_id":"565773cd-2772-49a0-9530-b0dc8abd41a1","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.06671","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e7edc9dfbef3b031a4aaa4363cc6d1f9483833c0d1ad2636b76d2227d502b20c","observation_id":"3dbe3ab5-33df-4e30-9828-896774bb6177","resolution":{"observed_at":"2026-05-16T08:12:31.395071Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01330","last_updated":"2023-12-07T18:58:30Z","snapshot_observed_at":"2026-08-16T15:58:06.939569Z","submitted_at":"2023-02-02T18:59:16Z","title":"SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections","version":3},"cited_work":{"arxiv_id":"2302.01330","doi":"10.48550/arxiv.2302.01330","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.01330","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2302.01330 , urldate =","venue":"arXiv (Cornell University)","work_id":"ad014688-d5b3-476a-9538-bc10f8cfd64b","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.01330","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:de07b3ce2dbe4e744d6cfba41a9fd69955137d71ce622990ccdbd6829586dafc","observation_id":"67e790fd-e6e4-4031-bb82-641bb1e38615","resolution":{"observed_at":"2026-05-16T08:12:31.398035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05128","last_updated":"2023-10-05T09:12:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-11T10:43:43Z","title":"Teaching Large Language Models to Self-Debug","version":2},"cited_work":{"arxiv_id":"2304.05128","doi":"10.48550/arxiv.2304.05128","metadata_source":"pith","pith_arxiv_id":"2304.05128","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Teaching Large Language Models to Self-Debug","venue":"cs.CL","work_id":"cdfb2680-220c-44eb-9edd-867b75fb821d","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2304.05128","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:88fb0beafbffa0b76450345999866e6b604cfb28586cadd6d88801e890f426b9","observation_id":"1aef20dd-7c36-49aa-99dd-7dfee557b502","resolution":{"observed_at":"2026-05-16T08:12:31.401046Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04137","last_updated":"2024-03-14T04:36:31Z","snapshot_observed_at":"2026-08-08T17:26:38.829859Z","submitted_at":"2023-03-07T18:50:03Z","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion","version":5},"cited_work":{"arxiv_id":"2303.04137","doi":"10.48550/arxiv.2303.04137","metadata_source":"pith","pith_arxiv_id":"2303.04137","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion","venue":"cs.RO","work_id":"2dce18e6-f07a-4f57-8a81-e71c3e6a293c","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.04137","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:a82ca66538832e6896a16e403e1f212315ca4055d19266ca8f950b223a4b849b","observation_id":"4671b2e0-6640-411b-9dc6-bfd98e5f6501","resolution":{"observed_at":"2026-05-16T08:12:31.404363Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03741","last_updated":"2023-02-17T17:00:34Z","snapshot_observed_at":"2026-08-12T12:29:44.507445Z","submitted_at":"2017-06-12T17:23:59Z","title":"Deep reinforcement learning from human preferences","version":4},"cited_work":{"arxiv_id":"1706.03741","doi":"10.48550/arxiv.1706.03741","metadata_source":"pith","pith_arxiv_id":"1706.03741","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep reinforcement learning from human preferences","venue":"stat.ML","work_id":"95b596b9-4880-42ad-ac79-570a3a8a9dee","year":2017},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1706.03741","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:dce71dbb472f8e422e96b792c4d0dc7eebba22d9b67ce4ba4b02f7fc8e4c360f","observation_id":"2abd035b-b707-455c-ba7d-66ea19f1cd2d","resolution":{"observed_at":"2026-05-16T08:39:30.882444Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10985","last_updated":"2020-02-01T04:46:25Z","snapshot_observed_at":"2026-08-18T19:30:10.506766Z","submitted_at":"2019-05-27T06:05:16Z","title":"AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence","version":2},"cited_work":{"arxiv_id":"1905.10985","doi":"10.48550/arxiv.1905.10985","metadata_source":"arxiv_reference","pith_arxiv_id":"1905.10985","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Clune, Ai-gas: Ai-generating algorithms, an alternate paradigm for producing general artificial intelligence","venue":"arXiv (Cornell University)","work_id":"f6f45ac3-9500-4380-be79-2c1f60baf327","year":1905},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1905.10985","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:759895ba1bdaa555abcae048d00f8bb4ea6dd3af8d7dbb59895815c9e572fc9f","observation_id":"90378432-1505-4ddc-8e44-d1c57ddfcfce","resolution":{"observed_at":"2026-05-16T08:12:31.411218Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01588","last_updated":"2020-07-26T18:39:26Z","snapshot_observed_at":"2026-08-20T05:29:00.071245Z","submitted_at":"2019-12-03T18:34:03Z","title":"Leveraging Procedural Generation to Benchmark Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"1912.01588","doi":"10.48550/arxiv.1912.01588","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.01588","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Leveraging Procedural Generation to Benchmark Reinforcement Learning , July 2020","venue":"arXiv (Cornell University)","work_id":"7c8641fb-9be4-42cc-afcb-c8e94fb57c14","year":1912},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1912.01588","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:66f41dc451af3c12e8a6e67911141742fb9db390dd00a7f7690ef0a06146174a","observation_id":"253eddd0-5bf8-4c84-9f40-fa56f9e8ab76","resolution":{"observed_at":"2026-05-16T08:12:31.413770Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.08630","last_updated":"2020-12-15T21:39:50Z","snapshot_observed_at":"2026-08-19T20:01:03.239868Z","submitted_at":"2020-12-15T21:39:50Z","title":"Open Problems in Cooperative AI","version":1},"cited_work":{"arxiv_id":"2012.08630","doi":"10.48550/arxiv.2012.08630","metadata_source":"pith","pith_arxiv_id":"2012.08630","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2012.08630 , year=","venue":"cs.AI","work_id":"99c30d76-a6b4-4302-92e5-5aa6cca1e4ef","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2012.08630","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:d053ee454dd508a71458919a9039f3f47822d58a7ad38a37901990963af3d598","observation_id":"0013a178-6fc4-4fc7-9363-d2f39f126e00","resolution":{"observed_at":"2026-05-16T08:12:31.416796Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.02860","last_updated":"2019-06-02T21:21:48Z","snapshot_observed_at":"2026-08-16T17:45:52.864524Z","submitted_at":"2019-01-09T18:28:19Z","title":"Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context","version":3},"cited_work":{"arxiv_id":"1901.02860","doi":"10.48550/arxiv.1901.02860","metadata_source":"pith","pith_arxiv_id":"1901.02860","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context","venue":"cs.LG","work_id":"eb970d64-41ff-4e44-afd0-e3bb975e0dc4","year":2019},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1901.02860","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:e10fa0983dd0b8578601b72c141ea72566472732133dd9237002def458a364ef","observation_id":"f53f1618-3f7f-44ec-9895-237f45db7c60","resolution":{"observed_at":"2026-05-16T08:12:31.419822Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10559","last_updated":"2023-05-15T11:45:12Z","snapshot_observed_at":"2026-08-19T03:27:40.295531Z","submitted_at":"2022-12-20T18:58:48Z","title":"Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers","version":3},"cited_work":{"arxiv_id":"2212.10559","doi":"10.48550/arxiv.2212.10559","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10559","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Why can gpt learn in-context? language models implicitly perform gradient descent as meta-optimizers","venue":"arXiv (Cornell University)","work_id":"91525fd5-2f01-4e81-8286-7afad1afc0ca","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2212.10559","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:1d85d0df478df8758ca229aee841d46d141465ad63a0f13e0c7ac046bcb3890a","observation_id":"5a6b0803-177a-4485-a7ac-de0eda355bb2","resolution":{"observed_at":"2026-05-16T08:12:31.422912Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13146","last_updated":"2020-12-06T16:59:01Z","snapshot_observed_at":"2026-08-18T15:14:44.571649Z","submitted_at":"2020-10-25T16:04:30Z","title":"XLVIN: eXecuted Latent Value Iteration Nets","version":2},"cited_work":{"arxiv_id":"2010.13146","doi":"10.48550/arxiv.2010.13146","metadata_source":"arxiv_reference","pith_arxiv_id":"2010.13146","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Xlvin: executed latent value iteration nets","venue":"arXiv (Cornell University)","work_id":"f0904608-b257-4f53-a8a4-28b5c8534c1f","year":2010},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2010.13146","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7d02b434506b5a64d1425200393f1624c1939c2f2426fb17f50da17e94ce7b02","observation_id":"a5c58fb3-6835-413d-83b7-37de930f1a1f","resolution":{"observed_at":"2026-05-16T08:12:31.425985Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08051","last_updated":"2022-12-15T18:56:53Z","snapshot_observed_at":"2026-08-16T16:08:20.723586Z","submitted_at":"2022-12-15T18:56:53Z","title":"Objaverse: A Universe of Annotated 3D Objects","version":1},"cited_work":{"arxiv_id":"2212.08051","doi":"10.48550/arxiv.2212.08051","metadata_source":"pith","pith_arxiv_id":"2212.08051","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Objaverse: A universe of annotated 3d objects","venue":"cs.CV","work_id":"52bce3bf-3312-4fb3-adfb-99364be316ed","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2212.08051","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:2586b4dee1509efef55266a25eb53b7cc6dfb5fce9889916b71686f5b91ba85f","observation_id":"be4a26e8-abca-41b8-ad0d-8f1cbf02e628","resolution":{"observed_at":"2026-05-16T08:12:31.428747Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.06994","last_updated":"2022-06-14T17:09:35Z","snapshot_observed_at":"2026-08-20T20:06:57.234099Z","submitted_at":"2022-06-14T17:09:35Z","title":"ProcTHOR: Large-Scale Embodied AI Using Procedural Generation","version":1},"cited_work":{"arxiv_id":"2206.06994","doi":"10.48550/arxiv.2206.06994","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.06994","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2206.06994 , urldate =","venue":"arXiv (Cornell University)","work_id":"597df1a0-e0c9-4c45-b975-12a4df7a6e5a","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2206.06994","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:005aa9fbbb22570047914a49b93d3481ca5869622973f91f09fc7f2c8ba64ca0","observation_id":"42b11a45-0abb-40f1-ba97-68d8d450ce4c","resolution":{"observed_at":"2026-05-16T08:12:31.431460Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06070","last_updated":"2023-12-09T05:57:46Z","snapshot_observed_at":"2026-08-14T08:19:18.935225Z","submitted_at":"2023-06-09T17:44:31Z","title":"Mind2Web: Towards a Generalist Agent for the Web","version":3},"cited_work":{"arxiv_id":"2306.06070","doi":"10.48550/arxiv.2306.06070","metadata_source":"pith","pith_arxiv_id":"2306.06070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mind2Web: Towards a Generalist Agent for the Web","venue":"cs.CL","work_id":"e26f5a00-c007-439d-83f6-7900f5687b6b","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2306.06070","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:dfba5535135c4b25b1f04c3b8463dbccfffcb8181edb2b90d0b20c79e8b13b32","observation_id":"0839f8dc-e41b-4ff0-b537-1f11d2efcc89","resolution":{"observed_at":"2026-05-16T08:12:31.434518Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-15T07:08:14.081022+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-15T07:08:14.081022+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.02096","last_updated":"2021-02-04T03:01:31Z","snapshot_observed_at":"2026-08-16T19:01:10.983887Z","submitted_at":"2020-12-03T17:37:01Z","title":"Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design","version":2},"cited_work":{"arxiv_id":"2012.02096","doi":"10.48550/arxiv.2012.02096","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.02096","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Emergent complexity and zero-shot transfer via unsupervised environment design","venue":"arXiv (Cornell University)","work_id":"13fa0948-1511-420f-912e-574ff5f55f77","year":2021},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2012.02096","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c97b485af007c6b378fbc239821fc26cff0ea9b32b83c5bd2fb10bac9962a963","observation_id":"61c24c27-38eb-46ca-a1de-f3a08ab553d5","resolution":{"observed_at":"2026-05-16T08:12:31.437124Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-10T21:38:18.393196+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-10T21:38:18.393196+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":"2010.11929","doi":"10.1175/jcli-d-22-0357.1","metadata_source":"pith","pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":"cs.CV","work_id":"e96730e3-129b-4db6-b981-15ab7932e297","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c140cad3a7efea85373c7a9c58d11e1473c5603f992cf359ef80e614cce9c9d3","observation_id":"01b29246-196c-4e11-bd29-b14487fda5e8","resolution":{"observed_at":"2026-05-16T08:12:31.440010Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03378","last_updated":"2023-03-06T18:58:06Z","snapshot_observed_at":"2026-08-14T18:47:26.721223Z","submitted_at":"2023-03-06T18:58:06Z","title":"PaLM-E: An Embodied Multimodal Language Model","version":1},"cited_work":{"arxiv_id":"2303.03378","doi":"10.48550/arxiv.2303.03378","metadata_source":"pith","pith_arxiv_id":"2303.03378","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"PaLM-E: An Embodied Multimodal Language Model","venue":"cs.LG","work_id":"5b99811a-1d93-47e2-9d59-f4045a0b74a2","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.03378","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:05b939b31f65a11ffaded2ff4a89fbed882b04da79846b708c8e3bcf72d0ed60","observation_id":"918f790b-79ea-458c-ab0b-98910dfd3274","resolution":{"observed_at":"2026-05-16T08:12:31.442707Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-09T19:19:06.044727+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T19:19:06.044727+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.10608","last_updated":"2022-02-22T01:23:23Z","snapshot_observed_at":"2026-08-16T17:19:39.711122Z","submitted_at":"2022-02-22T01:23:23Z","title":"It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation","version":1},"cited_work":{"arxiv_id":"2202.10608","doi":"10.48550/arxiv.2202.10608","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.10608","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"356285a4-0e49-4ac7-8c8b-fe1962e0e4b2","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2202.10608","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:c67d21cac34edaaea3c76dd6fe8f12472654a6e5873be0d34b5bcc49dc6cffdc","observation_id":"e7cb4a20-f222-45f1-a6d3-9d13000bf3de","resolution":{"observed_at":"2026-05-16T08:12:31.445459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06692","last_updated":"2023-09-15T02:42:40Z","snapshot_observed_at":"2026-08-16T15:55:36.805865Z","submitted_at":"2023-02-13T21:16:03Z","title":"Guiding Pretraining in Reinforcement Learning with Large Language Models","version":2},"cited_work":{"arxiv_id":"2302.06692","doi":"10.48550/arxiv.2302.06692","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.06692","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Guiding pretraining in reinforcement learning with large language models","venue":"arXiv (Cornell University)","work_id":"6ac339cc-e788-4313-8fbc-ca7285d4e498","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.06692","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:4b9bd549923c4042c2560f9e5a859efe75b08361db045c81846aab9c7fc81f95","observation_id":"adf21c04-f06f-4385-af9c-9088f5632006","resolution":{"observed_at":"2026-05-16T08:12:31.448332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00111","last_updated":"2023-11-20T05:38:13Z","snapshot_observed_at":"2026-08-16T15:58:41.194108Z","submitted_at":"2023-01-31T21:28:13Z","title":"Learning Universal Policies via Text-Guided Video Generation","version":3},"cited_work":{"arxiv_id":"2302.00111","doi":"10.48550/arxiv.2302.00111","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.00111","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B., Schuurmans, D., and Abbeel, P","venue":"arXiv (Cornell University)","work_id":"d5eed546-aec4-42e8-8e69-fa3e41cc741a","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2302.00111","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:9d06a13b8937e38ad3cf1bf75f20987f372d5ce715304715a91c8edbdad52f3d","observation_id":"4449c8c8-0794-4ced-94ca-c96fb1ec2f89","resolution":{"observed_at":"2026-05-16T08:12:31.451096Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.07280","last_updated":"2023-03-13T16:54:11Z","snapshot_observed_at":"2026-08-16T15:48:37.142658Z","submitted_at":"2023-03-13T16:54:11Z","title":"Vision-Language Models as Success Detectors","version":1},"cited_work":{"arxiv_id":"2303.07280","doi":"10.48550/arxiv.2303.07280","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.07280","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Vision-language models as success detectors","venue":"arXiv (Cornell University)","work_id":"3ed43dc9-30c3-4244-a282-f173ebfe0dc1","year":2023},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2303.07280","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:cda6c467da84b41e46068cbcd56d95df861d09447a6c8fa80f837a7ac228f4cf","observation_id":"8121481f-2d31-4ad4-8475-f2c4e9e490e6","resolution":{"observed_at":"2026-05-16T08:12:31.453927Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02779","last_updated":"2016-11-10T01:17:36Z","snapshot_observed_at":"2026-08-14T21:31:19.001119Z","submitted_at":"2016-11-09T00:13:29Z","title":"RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"1611.02779","doi":"10.48550/arxiv.1611.02779","metadata_source":"pith","pith_arxiv_id":"1611.02779","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning","venue":"cs.AI","work_id":"f9b75698-414f-456e-a2e6-dbe568b2693d","year":2016},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1611.02779","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:2f920fbffabea5a7ec523c29bf9992525ee6f517b5bc302caea07e45ae516c02","observation_id":"79ffac87-e0d5-48fc-bf61-942d96d23d65","resolution":{"observed_at":"2026-05-16T08:12:31.456668Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-10T21:38:17.041262+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-10T21:38:17.041262+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.14548","last_updated":"2021-10-07T17:57:19Z","snapshot_observed_at":"2026-08-16T18:28:07.486533Z","submitted_at":"2021-04-29T17:56:08Z","title":"With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations","version":2},"cited_work":{"arxiv_id":"2104.14548","doi":"10.48550/arxiv.2104.14548","metadata_source":"arxiv_reference","pith_arxiv_id":"2104.14548","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2104.14548 , year=","venue":"arXiv (Cornell University)","work_id":"1474813c-2f50-4655-9960-11b9cbc4356c","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2104.14548","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:fe27c09c9e306a6d26c6527ea25feae2a1a2936d880f578d5f39fe3911ec9367","observation_id":"2dbc9e1d-ab2e-4a16-820f-5056c57c91c8","resolution":{"observed_at":"2026-05-16T08:12:31.459488Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-12T12:50:20.273169+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T12:50:20.273169+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.02993","last_updated":"2021-05-06T22:15:51Z","snapshot_observed_at":"2026-08-16T18:26:28.396546Z","submitted_at":"2021-05-06T22:15:51Z","title":"Learning Controllable Content Generators","version":1},"cited_work":{"arxiv_id":"2105.02993","doi":"10.48550/arxiv.2105.02993","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.02993","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning","venue":"arXiv (Cornell University)","work_id":"ef3600e4-db1e-4898-9b62-1629acc6077e","year":null},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2105.02993","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:38900296313c811e81f26a671604315159b284abda520bb72ec5201a592092a5","observation_id":"fb77d392-99df-4479-b675-0b6840dbeb0a","resolution":{"observed_at":"2026-05-16T08:12:31.462143Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.10995","last_updated":"2021-02-26T21:21:11Z","snapshot_observed_at":"2026-08-20T13:58:16.449080Z","submitted_at":"2019-01-30T18:40:37Z","title":"Go-Explore: a New Approach for Hard-Exploration Problems","version":4},"cited_work":{"arxiv_id":"1901.10995","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1901.10995","snapshot_observed_at":"2026-07-04T15:29:55.587215Z","title":"Go-explore: a new approach for hard-exploration problems","venue":null,"work_id":"811ed60c-dea3-46b6-b28f-bf76eb844c38","year":1901},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1901.10995","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:0865cbf32fb90839b678811906ee821d0ffb8f0cd88b2a48dba39fbc292a5522","observation_id":"7d72ca4f-bdf4-4b44-b233-6a1ae9522f47","resolution":{"observed_at":"2026-05-16T08:12:35.387667Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":20,"parse_uncertain":0,"unresolved":1,"verified_exact":62,"verified_fuzzy":17},"total_outbound_references":296},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 100 of 296 outbound references and 100 inbound Pith citation observations for arXiv:2309.16797."}