{"as_of":"2026-08-10T09:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c5d7c474c3c5f4b559681b0a1326ac633f47236c8543072a42c4a0bc25e48d39","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:50:33.263526Z","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":"2026-05-16T16:41:06.195040Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03724","last_updated":"2025-05-28T16:01:48Z","snapshot_observed_at":"2026-08-09T09:55:11.515389Z","submitted_at":"2024-09-29T10:11:25Z","title":"Overcoming the Machine Penalty with Imperfectly Fair AI Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03724","snapshot_observed_at":"2026-08-07T22:50:33.263526Z","title":"Large language models overcome the machine penalty when acting fairly but not when acting selfishly or altruistically","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09053","last_updated":"2025-08-05T02:23:31Z","snapshot_observed_at":"2026-08-08T10:12:47.586452Z","submitted_at":"2025-02-13T08:08:27Z","title":"Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers","version":2},"reference_index":167,"source":"pdf_text","source_observed_at":"2026-08-07T22:50:33.263526Z"},"links":{"cited_paper":"/paper/2410.03724","citing_paper":"/paper/2502.09053"},"observation_digest":"sha256:aa65748bcfaf9825823fb44a23b6a578f821ad81381f8b0b09f86823847383d0","observation_id":"c6a00816-e829-4a55-8d44-f60b5397e79d","resolution":{"observed_at":"2026-08-07T22:50:33.263526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03724","last_updated":"2025-05-28T16:01:48Z","snapshot_observed_at":"2026-08-09T09:55:11.515389Z","submitted_at":"2024-09-29T10:11:25Z","title":"Overcoming the Machine Penalty with Imperfectly Fair AI Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03724","snapshot_observed_at":"2026-08-06T23:49:46.488288Z","title":"arXiv preprint arXiv:2410.03724 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16163","last_updated":"2025-06-19T09:32:55Z","snapshot_observed_at":"2026-08-09T09:54:37.624700Z","submitted_at":"2025-06-19T09:32:55Z","title":"Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:46.488288Z"},"links":{"cited_paper":"/paper/2410.03724","citing_paper":"/paper/2506.16163"},"observation_digest":"sha256:d1208a4616ac8a9d1f8d7d042a451536e5e357e090680d370416d1136b693162","observation_id":"9367be0a-c0e7-4652-adfc-d574b4c63e41","resolution":{"observed_at":"2026-08-06T23:49:46.488288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03724","last_updated":"2025-05-28T16:01:48Z","snapshot_observed_at":"2026-08-09T09:55:11.515389Z","submitted_at":"2024-09-29T10:11:25Z","title":"Overcoming the Machine Penalty with Imperfectly Fair AI Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03724","snapshot_observed_at":"2026-08-05T04:34:30.757211Z","title":"Large Language Models Overcome the Machine Penalty When Acting Fairly but Not When Acting Selfishly or Altruistically","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.06069","last_updated":"2025-09-07T14:22:04Z","snapshot_observed_at":"2026-08-09T09:55:36.901365Z","submitted_at":"2025-09-07T14:22:04Z","title":"From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T04:34:30.757211Z"},"links":{"cited_paper":"/paper/2410.03724","citing_paper":"/paper/2509.06069"},"observation_digest":"sha256:789c94f0aedea32f840c76a317eef09f98ed3a6e2fa1267f2c75274775b074f1","observation_id":"4c2a3535-e9fc-428c-b5b8-56f17b74df39","resolution":{"observed_at":"2026-08-05T04:34:30.757211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03724","last_updated":"2025-05-28T16:01:48Z","snapshot_observed_at":"2026-08-09T09:55:11.515389Z","submitted_at":"2024-09-29T10:11:25Z","title":"Overcoming the Machine Penalty with Imperfectly Fair AI Agents","version":3},"cited_work":{"arxiv_id":"2410.03724","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03724","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c3b04efe-6780-48bf-8118-80b421cfb331","year":2024},"citing_paper":{"arxiv_id":"2601.03846","last_updated":"2026-04-19T20:12:38Z","snapshot_observed_at":"2026-07-06T22:41:01.254450Z","submitted_at":"2026-01-07T12:07:48Z","title":"When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T16:39:34.129361Z"},"links":{"cited_paper":"/paper/2410.03724","citing_paper":"/paper/2601.03846"},"observation_digest":"sha256:1075e3f18406d0d6e7654cd1486ba9cf80b3704212e191cfbac934e5bb71abf6","observation_id":"f7e4595d-d2cd-4094-956d-b2ef5de7a74a","resolution":{"observed_at":"2026-05-16T16:41:06.197324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.03724/citation-record","integrity":"/paper/2410.03724/integrity","json":"/paper/2410.03724/citation-record.json","paper":"/paper/2410.03724"},"outbound":[],"paper":{"arxiv_id":"2410.03724","last_updated":"2025-05-28T16:01:48Z","latest_version":3,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-09T09:55:11.515389Z","submitted_at":"2024-09-29T10:11:25Z","title":"Overcoming the Machine Penalty with Imperfectly Fair AI Agents"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.03724."}