{"as_of":"2026-08-13T08:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06829a70eca272bb38a2bf59c22d0465646382e2d9e048a15a1f394a89a34f64","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:06:51.089208Z","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":"2026-07-04T06:49:37.690501Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13595","snapshot_observed_at":"2026-08-11T22:06:51.089208Z","title":"The History and Risks of Reinforce- ment Learning and Human Feedback, November 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03822","last_updated":"2024-12-05T02:35:46Z","snapshot_observed_at":"2026-08-12T06:33:00.926239Z","submitted_at":"2024-12-05T02:35:46Z","title":"Beyond the Binary: Capturing Diverse Preferences With Reward Regularization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:06:51.089208Z"},"links":{"cited_paper":"/paper/2310.13595","citing_paper":"/paper/2412.03822"},"observation_digest":"sha256:6d86c6170b4097e9fd1d6f93657bf01ee6e60308981c48d681463d8b35dcf981","observation_id":"21b18e6a-5855-4e9d-8e84-92dcd08b8b93","resolution":{"observed_at":"2026-08-11T22:06:51.089208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback","version":2},"cited_work":{"arxiv_id":"2310.13595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13595","snapshot_observed_at":"2026-07-04T06:49:37.690501Z","title":"Entangled preferences: The history and risks of reinforcement learning and human feedback","venue":null,"work_id":"fed0ab3c-b651-4754-8425-5ec21c37bb4d","year":2023},"citing_paper":{"arxiv_id":"2504.12501","last_updated":"2026-08-03T01:47:58Z","snapshot_observed_at":"2026-08-07T16:01:39.307745Z","submitted_at":"2025-04-16T21:36:46Z","title":"Reinforcement Learning from Human Feedback","version":9},"reference_index":216,"source":"pdf_text","source_observed_at":"2026-05-22T19:27:40.991325Z"},"links":{"cited_paper":"/paper/2310.13595","citing_paper":"/paper/2504.12501"},"observation_digest":"sha256:de760922082d7d830a062ffa3c9357a070d2a2f593437690d314b7abd765f421","observation_id":"6f6742c1-052e-4f38-9b29-acd240cc369b","resolution":{"observed_at":"2026-05-22T19:32:01.365981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13595","snapshot_observed_at":"2026-08-07T14:26:35.031480Z","title":"The history and risks of reinforcement learning and human feedback, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18893","last_updated":"2025-05-30T14:09:51Z","snapshot_observed_at":"2026-08-13T08:20:05.608336Z","submitted_at":"2025-05-24T22:35:32Z","title":"Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:35.031480Z"},"links":{"cited_paper":"/paper/2310.13595","citing_paper":"/paper/2505.18893"},"observation_digest":"sha256:ad1b8f0ad5ee2f837c6635d382bd75f895179a3d8d45bc865cebeb313aeefd80","observation_id":"7a40fea5-a5a8-448c-b5b5-a511fd157b94","resolution":{"observed_at":"2026-08-07T14:26:35.031480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback","version":2},"cited_work":{"arxiv_id":"2310.13595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13595","snapshot_observed_at":"2026-07-04T06:49:37.690501Z","title":"Entangled preferences: The history and risks of reinforcement learning and human feedback","venue":null,"work_id":"fed0ab3c-b651-4754-8425-5ec21c37bb4d","year":2023},"citing_paper":{"arxiv_id":"2506.01937","last_updated":"2026-04-23T14:42:19Z","snapshot_observed_at":"2026-07-06T21:35:12.872021Z","submitted_at":"2025-06-02T17:54:04Z","title":"RewardBench 2: Advancing Reward Model Evaluation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T11:18:03.965711Z"},"links":{"cited_paper":"/paper/2310.13595","citing_paper":"/paper/2506.01937"},"observation_digest":"sha256:97d60827134f9e805a28501b384004562e22883e84552cee282b3b29b2e7d5fb","observation_id":"7c4273eb-52ca-4bce-bfbf-d04df39a13cb","resolution":{"observed_at":"2026-05-19T11:22:16.755035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback","version":2},"cited_work":{"arxiv_id":"2310.13595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13595","snapshot_observed_at":"2026-07-04T06:49:37.690501Z","title":"Entangled preferences: The history and risks of reinforcement learning and human feedback","venue":null,"work_id":"fed0ab3c-b651-4754-8425-5ec21c37bb4d","year":2023},"citing_paper":{"arxiv_id":"2606.21550","last_updated":"2026-06-19T15:47:01Z","snapshot_observed_at":"2026-08-08T02:38:40.288019Z","submitted_at":"2026-06-19T15:47:01Z","title":"AI Alignment From Social Choice Perspectives","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-06-26T14:12:36.892697Z"},"links":{"cited_paper":"/paper/2310.13595","citing_paper":"/paper/2606.21550"},"observation_digest":"sha256:35f2d47f742f2aca88949ea606323a0e144937725c48309a3343227a0d2060cb","observation_id":"84315c9c-5544-45af-b2d4-1fa751350649","resolution":{"observed_at":"2026-07-04T06:49:37.692185Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.13595/citation-record","integrity":"/paper/2310.13595/integrity","json":"/paper/2310.13595/citation-record.json","paper":"/paper/2310.13595"},"outbound":[],"paper":{"arxiv_id":"2310.13595","last_updated":"2023-11-28T18:16:11Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-13T05:44:32.405737Z","submitted_at":"2023-10-20T15:45:16Z","title":"The History and Risks of Reinforcement Learning and Human Feedback"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.13595."}