{"as_of":"2026-08-04T19:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b65038f23c1bef0d2650722e334193ab24785c30c10f22d1755cf4f3a9aff13c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T04:49:08.538781Z","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":"2026-05-16T04:49:09.179186Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.08702","last_updated":"2024-10-03T16:11:43Z","snapshot_observed_at":"2026-07-06T17:29:39.117068Z","submitted_at":"2024-02-13T16:38:01Z","title":"PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling","version":4},"cited_work":{"arxiv_id":"2402.08702","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.08702","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.08702 , year=","venue":null,"work_id":"cecf92e6-2be4-446b-a0b6-eb87200e5c80","year":2024},"citing_paper":{"arxiv_id":"2506.08872","last_updated":"2025-12-31T21:13:04Z","snapshot_observed_at":"2026-08-03T01:37:16.178835Z","submitted_at":"2025-06-10T15:04:28Z","title":"Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-16T04:49:08.538781Z"},"links":{"cited_paper":"/paper/2402.08702","citing_paper":"/paper/2506.08872"},"observation_digest":"sha256:a75431ee2944d7b282fdc78b27ea3f403ca66df56123f0cd08e09152b461aca1","observation_id":"56f5ac5b-e33a-4524-8660-bf70173a7b67","resolution":{"observed_at":"2026-05-16T04:49:09.181874Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08702","last_updated":"2024-10-03T16:11:43Z","snapshot_observed_at":"2026-07-06T17:29:39.117068Z","submitted_at":"2024-02-13T16:38:01Z","title":"PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling","version":4},"cited_work":{"arxiv_id":"2402.08702","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.08702","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.08702 , year=","venue":null,"work_id":"cecf92e6-2be4-446b-a0b6-eb87200e5c80","year":2024},"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":51,"source":"arxiv_source","source_observed_at":"2026-05-14T22:23:14.621091Z"},"links":{"cited_paper":"/paper/2402.08702","citing_paper":"/paper/2507.21046"},"observation_digest":"sha256:cc7f85fa9e295ce2c0aa819c8c6bf62b1cf12f3e0aff9a24670564f5496afd44","observation_id":"040f2d95-4d0b-4d36-9fb3-04cabedab6d4","resolution":{"observed_at":"2026-05-14T22:23:15.640142Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08702","last_updated":"2024-10-03T16:11:43Z","snapshot_observed_at":"2026-07-06T17:29:39.117068Z","submitted_at":"2024-02-13T16:38:01Z","title":"PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling","version":4},"cited_work":{"arxiv_id":"2402.08702","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.08702","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.08702 , year=","venue":null,"work_id":"cecf92e6-2be4-446b-a0b6-eb87200e5c80","year":2024},"citing_paper":{"arxiv_id":"2604.06699","last_updated":"2026-04-08T05:25:40Z","snapshot_observed_at":"2026-08-02T23:48:41.595500Z","submitted_at":"2026-04-08T05:25:40Z","title":"Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T18:57:45.771125Z"},"links":{"cited_paper":"/paper/2402.08702","citing_paper":"/paper/2604.06699"},"observation_digest":"sha256:1e495d97812cf0acba60af8a0be6187459194bc9d05343797341d0829175bea5","observation_id":"b0c1812d-a72b-4789-b2cd-4aed8ba2ed21","resolution":{"observed_at":"2026-05-10T23:40:50.825848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.08702/citation-record","integrity":"/paper/2402.08702/integrity","json":"/paper/2402.08702/citation-record.json","paper":"/paper/2402.08702"},"outbound":[],"paper":{"arxiv_id":"2402.08702","last_updated":"2024-10-03T16:11:43Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:29:39.117068Z","submitted_at":"2024-02-13T16:38:01Z","title":"PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08702."}