{"as_of":"2026-08-09T20:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8a7067a1c5c2cd86e4899568327db803140a20ecd4e35d4eec614712811a497","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":25,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T01:02:19.386935Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T13:39:50.589123Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"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":127,"source":"pdf_text","source_observed_at":"2026-05-15T21:20:59.128986Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2501.09686"},"observation_digest":"sha256:44d3aa1d1021daf97db8e120510372826efbb0d349268f7e54329b786e9a1b3d","observation_id":"8f50ccc4-fe12-467c-b511-3818544dd120","resolution":{"observed_at":"2026-05-15T21:20:59.253768Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-09T01:02:19.386935Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04392","last_updated":"2025-02-06T02:40:25Z","snapshot_observed_at":"2026-08-09T00:55:21.914823Z","submitted_at":"2025-02-06T02:40:25Z","title":"Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T01:02:19.386935Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2502.04392"},"observation_digest":"sha256:51d9bd940217c77e50faa3dbb307f879227c02a257fccf48197d3f6b4f2dd469","observation_id":"b3c12aef-9643-4bc0-8be0-ae50ee493a5c","resolution":{"observed_at":"2026-08-09T01:02:19.386935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-07T14:14:10.207509Z","title":"Agentsquare: Automatic llm agent search in modular design space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19623","last_updated":"2025-05-28T14:32:56Z","snapshot_observed_at":"2026-08-07T14:07:44.224059Z","submitted_at":"2025-05-26T07:45:11Z","title":"AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:14:10.207509Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2505.19623"},"observation_digest":"sha256:124d7d625db5f5eee6193db8fb865d395545e330dcc498d2a177430f482c3fc8","observation_id":"78cee53c-3903-440a-a1fd-72a376e62cdd","resolution":{"observed_at":"2026-08-07T14:14:10.207509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-07T12:59:58.426481Z","title":"Agentsquare: Automatic llm agent search in modular design space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23187","last_updated":"2025-05-29T07:24:37Z","snapshot_observed_at":"2026-08-08T09:16:12.595240Z","submitted_at":"2025-05-29T07:24:37Z","title":"Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:58.426481Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2505.23187"},"observation_digest":"sha256:9ec2b39654b21f2d5ec0baf0b2ce3ef9144413c748e185ef202ac6bfffdf6d74","observation_id":"552e5ffe-ef9b-49d5-9eca-2f73d53e5007","resolution":{"observed_at":"2026-08-07T12:59:58.426481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-07T11:18:45.056024Z","title":"Shang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02951","last_updated":"2025-07-23T03:40:09Z","snapshot_observed_at":"2026-08-09T14:13:39.797355Z","submitted_at":"2025-06-03T14:46:00Z","title":"Adaptive Graph Pruning for Multi-Agent Communication","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:45.056024Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2506.02951"},"observation_digest":"sha256:6eccf105dbe1a62e6bcb36151fe90f26b2fc92ec3b761019906f9ba20377c9c4","observation_id":"d0b0fc20-4df0-4637-bf25-66e469b44c6b","resolution":{"observed_at":"2026-08-07T11:18:45.056024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-07T06:09:18.836505Z","title":"Agentsquare: Automatic llm agent search in modular design space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06008","last_updated":"2025-06-06T11:53:27Z","snapshot_observed_at":"2026-08-07T10:44:12.390654Z","submitted_at":"2025-06-06T11:53:27Z","title":"Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T06:09:18.836505Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2506.06008"},"observation_digest":"sha256:19e3fdde24011b7b4456aa9f8c4edeac93f322e66d5c17b82d268243eaa4427b","observation_id":"f88edfd0-9f00-4ec7-88aa-0855912b4c08","resolution":{"observed_at":"2026-08-07T06:09:18.836505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-07T11:00:53.902040Z","title":"Agentsquare: Automatic llm agent search in modular design space.arXiv preprint arXiv:2410.06153, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06366","last_updated":"2025-06-12T10:22:01Z","snapshot_observed_at":"2026-08-09T20:26:32.963470Z","submitted_at":"2025-06-04T08:12:32Z","title":"AI Agent Behavioral Science","version":3},"reference_index":133,"source":"pdf_text","source_observed_at":"2026-08-07T11:00:53.902040Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2506.06366"},"observation_digest":"sha256:9cad3ae442f9538a1c439e023ecc8185362b38b8337a0f5f2de6baa424dcf64d","observation_id":"76c14bc3-afe8-4b8b-bc5e-8ee100fd6080","resolution":{"observed_at":"2026-08-07T11:00:53.902040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-05T21:01:24.756501Z","title":"arXiv:2410.06153 [cs.CL] https://arxiv.org/abs/2410.06153","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.09586","last_updated":"2025-08-20T07:50:49Z","snapshot_observed_at":"2026-08-07T12:33:53.736485Z","submitted_at":"2025-08-13T07:59:29Z","title":"EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T21:01:24.756501Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2508.09586"},"observation_digest":"sha256:c4bf90e3bd28093799e74f607bd187f9e1f272bbaea47e49251c1a8a157790cd","observation_id":"4221e6ed-665f-4268-b8c5-922a667420b2","resolution":{"observed_at":"2026-08-05T21:01:24.756501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2510.07799","last_updated":"2026-05-16T23:46:00Z","snapshot_observed_at":"2026-07-06T22:32:07.945004Z","submitted_at":"2025-10-09T05:28:28Z","title":"Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T20:40:13.721163Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2510.07799"},"observation_digest":"sha256:07767a231038db0b0c4fd17b13ff82512b003073c2bb9dcfad42141755680d1c","observation_id":"c6445fc1-e714-456a-a12d-76f9cc0e2f48","resolution":{"observed_at":"2026-05-21T20:40:35.682083Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2512.12634","last_updated":"2026-05-31T23:48:10Z","snapshot_observed_at":"2026-08-03T16:38:30.744758Z","submitted_at":"2025-12-14T10:41:39Z","title":"MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T22:59:16.413568Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2512.12634"},"observation_digest":"sha256:596ac0d11e8689a61c1706000189aa21f2b8d8dbedd443ad19d08a4173af5365","observation_id":"126f07ee-8059-497a-b254-ed287b4ee071","resolution":{"observed_at":"2026-05-16T23:01:20.653161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-03T16:38:34.712040Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.12634","last_updated":"2026-05-31T23:48:10Z","snapshot_observed_at":"2026-08-03T16:38:30.744758Z","submitted_at":"2025-12-14T10:41:39Z","title":"MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T16:38:34.712040Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2512.12634"},"observation_digest":"sha256:78d8e70b8b799a4e26655dd60f7bc57bad06244bf69f1e4263731981c321bf7f","observation_id":"79a33372-1125-4405-b710-eef3cfe99732","resolution":{"observed_at":"2026-08-03T16:38:34.712040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T18:43:51.525392Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:cf60ac9ddda78137dde8f1ca6d90afd8cd1b2d3a8ee8bf5e9df5a8c4bba03ac1","observation_id":"e5402838-9b97-436d-b088-e471d14d2683","resolution":{"observed_at":"2026-05-11T00:00:56.951295Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-13T09:23:40.328143Z","title":"Agentsquare: Automatic llm agent search in modular design space.arXiv preprint arXiv:2410.06153, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":2},"reference_index":121,"source":"pdf_text","source_observed_at":"2026-07-13T09:23:40.328143Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:383af4d98cd5d58265339078f6551df997c62f63d56a625937808ac497805a05","observation_id":"469b971f-5945-4838-87c0-a932e034e7db","resolution":{"observed_at":"2026-07-13T09:23:40.328143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-03T18:25:43.429312Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-10T11:59:05.907000Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:504de35485aba90036308e455595b47245357dad3d3e6b62ed8accb10be867aa","observation_id":"0722df66-5a63-4c46-8580-7d293c66848e","resolution":{"observed_at":"2026-05-10T12:00:21.748745Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-03T18:25:43.429312Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-12T04:13:02.212804Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:02fb44581ab6082615544e089d0518075b67cc6a3e2bb2794adf0f9082a7a9dd","observation_id":"f657270d-4907-4d31-9239-3ec7c90fd72a","resolution":{"observed_at":"2026-05-12T06:31:26.999895Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2604.18131","last_updated":"2026-04-20T11:54:20Z","snapshot_observed_at":"2026-07-06T23:05:04.279268Z","submitted_at":"2026-04-20T11:54:20Z","title":"Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T04:36:27.381942Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2604.18131"},"observation_digest":"sha256:068577a48f315bba8c2a99cad779f3e1c9be737005d55d27414c067ce9da8f98","observation_id":"dcce4d15-6ae0-4bf0-9fa1-e067566a0210","resolution":{"observed_at":"2026-05-10T12:10:23.430752Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2605.07339","last_updated":"2026-05-08T06:44:11Z","snapshot_observed_at":"2026-07-31T12:37:52.379547Z","submitted_at":"2026-05-08T06:44:11Z","title":"Tools as Continuous Flow for Evolving Agentic Reasoning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-11T01:30:19.859374Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2605.07339"},"observation_digest":"sha256:9624f3c0bb40f903a59040bfdee5f7d98e93e39b402ad1af2ed35f0d8b11f26d","observation_id":"470b19d4-489c-44ff-9b4c-53caf2cc38ee","resolution":{"observed_at":"2026-05-11T01:45:51.750215Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2605.09539","last_updated":"2026-05-10T13:52:00Z","snapshot_observed_at":"2026-08-06T17:57:07.648045Z","submitted_at":"2026-05-10T13:52:00Z","title":"TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-12T04:53:54.754878Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2605.09539"},"observation_digest":"sha256:5bedae27db261543571a1fa27f2815c131f595c9d8c63dd67a34555523a376dc","observation_id":"777313d5-1cc4-48dd-838a-a051a038a4b2","resolution":{"observed_at":"2026-05-12T05:51:24.427766Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2605.20425","last_updated":"2026-05-19T19:22:21Z","snapshot_observed_at":"2026-08-08T23:28:01.023904Z","submitted_at":"2026-05-19T19:22:21Z","title":"AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T07:05:28.416552Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2605.20425"},"observation_digest":"sha256:c20f4eb283efb049428f141da8e8772b1231007bda8d1e581da20179a4f5e016","observation_id":"89471ef3-8fea-47ca-a36e-014d155ca6e2","resolution":{"observed_at":"2026-05-21T07:09:46.366891Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2605.21516","last_updated":"2026-05-15T12:47:13Z","snapshot_observed_at":"2026-08-02T04:12:03.015112Z","submitted_at":"2026-05-15T12:47:13Z","title":"Harnesses for Inference-Time Alignment over Execution Trajectories","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-22T01:03:56.207217Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2605.21516"},"observation_digest":"sha256:bbf738d0479f4d4f7bc79b706ac5c3b01f6f6bb3169d5a45db6a720b03912897","observation_id":"ec2a892b-7bfd-41a9-91a7-eed6704c1c94","resolution":{"observed_at":"2026-05-22T01:04:31.986051Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":"2410.06153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-04T13:39:50.589123Z","title":"arXiv preprint arXiv:2410.06153 , year=","venue":null,"work_id":"8b514c0f-5fe5-45ca-a4f6-3a09b4e2ec8f","year":2024},"citing_paper":{"arxiv_id":"2606.26669","last_updated":"2026-06-25T07:02:32Z","snapshot_observed_at":"2026-07-29T15:47:51.578239Z","submitted_at":"2026-06-25T07:02:32Z","title":"SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-26T05:03:35.457624Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2606.26669"},"observation_digest":"sha256:3c8e86db8c322c5e24713a892cda83349885d5cd089b4839d673534d74459700","observation_id":"54e6a17f-fa99-4592-b6e9-405b63976bd9","resolution":{"observed_at":"2026-07-04T13:39:50.590609Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-13T05:40:26.231504Z","title":"Agentsquare: Automatic llm agent search in modular design space,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.08938","last_updated":"2026-07-09T21:08:01Z","snapshot_observed_at":"2026-08-04T01:50:56.311564Z","submitted_at":"2026-07-09T21:08:01Z","title":"Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-13T05:40:26.231504Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2607.08938"},"observation_digest":"sha256:9457a21e73d08781bb42aa59266bbd8f71ee9bdfd8e5b830a23ff3793c6d4240","observation_id":"ac06f5a4-dfa9-476f-8a1e-4acb36a8ee62","resolution":{"observed_at":"2026-07-13T05:40:26.231504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-07-14T08:37:17.973015Z","title":"International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10878","last_updated":"2026-07-12T18:46:42Z","snapshot_observed_at":"2026-08-04T09:27:03.135071Z","submitted_at":"2026-07-12T18:46:42Z","title":"LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-14T08:37:17.973015Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2607.10878"},"observation_digest":"sha256:84ca288a69ab99e9402bcfda0d3cfe84172535ae5647f486b0bd0750ff0b3fde","observation_id":"39dc025e-c3f3-460f-b9e4-138a2f3e8cb4","resolution":{"observed_at":"2026-07-14T08:37:17.973015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-01T18:17:12.763701Z","title":"Agentsquare: Automatic llm agent search in modular design space","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17352","last_updated":"2026-07-19T17:26:59Z","snapshot_observed_at":"2026-08-07T08:55:54.204026Z","submitted_at":"2026-07-19T17:26:59Z","title":"Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T18:17:12.763701Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2607.17352"},"observation_digest":"sha256:bcc44da662b183afb196f58cc179b113a9f6375546c5379af21e4100bd17e955","observation_id":"b3a7fbb2-6280-4b59-8331-b2e04a98bf4b","resolution":{"observed_at":"2026-08-01T18:17:12.763701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06153","snapshot_observed_at":"2026-08-04T08:52:23.570960Z","title":"arXiv:2410.06153","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02353","last_updated":"2026-08-03T15:04:26Z","snapshot_observed_at":"2026-08-08T05:05:59.550208Z","submitted_at":"2026-08-03T15:04:26Z","title":"Global Optimization and Inference-Time Region Grafting for Agentic Workflows","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T08:52:23.570960Z"},"links":{"cited_paper":"/paper/2410.06153","citing_paper":"/paper/2608.02353"},"observation_digest":"sha256:a0cf3eced305116b0dbbd23cf7975bfc4b3b3699d535ccecf1ee718a3fb04f75","observation_id":"569120ef-8cd5-4a0a-bfb9-f355b732e2c1","resolution":{"observed_at":"2026-08-04T08:52:23.570960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.06153/citation-record","integrity":"/paper/2410.06153/integrity","json":"/paper/2410.06153/citation-record.json","paper":"/paper/2410.06153"},"outbound":[],"paper":{"arxiv_id":"2410.06153","last_updated":"2025-02-27T13:33:55Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T17:21:11.505603Z","submitted_at":"2024-10-08T15:52:42Z","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2410.06153."}