{"as_of":"2026-08-07T07:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e0890558186ae5561ef1f3a9bbb3d7ab8381cd8a3f30793fc6c74722d7a1e93","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T15:28:43.540532Z","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":"2026-05-21T11:05:01.503411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04094","snapshot_observed_at":"2026-08-06T15:28:43.540532Z","title":"Karten, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.15815","last_updated":"2025-07-21T17:21:14Z","snapshot_observed_at":"2026-08-07T04:06:13.686837Z","submitted_at":"2025-07-21T17:21:14Z","title":"LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:28:43.540532Z"},"links":{"cited_paper":"/paper/2503.04094","citing_paper":"/paper/2507.15815"},"observation_digest":"sha256:812a195ff8d1d00e8c4545265097e8d7e9c1238e7dd3ff4198db37905a618895","observation_id":"683c881f-6ba4-4750-bc05-faf21f9a9e10","resolution":{"observed_at":"2026-08-06T15:28:43.540532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04094","snapshot_observed_at":"2026-08-03T00:15:57.153552Z","title":"Pokéchamp: an expert-level minimax language agent.arXiv preprint arXiv:2503.04094, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.11103","last_updated":"2026-06-30T22:11:21Z","snapshot_observed_at":"2026-08-05T01:34:15.648644Z","submitted_at":"2026-02-11T18:15:11Z","title":"GameDevBench: Evaluating Agentic Capabilities Through Game Development","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T00:15:57.153552Z"},"links":{"cited_paper":"/paper/2503.04094","citing_paper":"/paper/2602.11103"},"observation_digest":"sha256:b73925e5872fbaa2a3bf6fb915283233ba64c7dadff075d9489fd0c0eba7c20d","observation_id":"afa96943-4667-4d50-9527-0a18e4e8df3b","resolution":{"observed_at":"2026-08-03T00:15:57.153552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent","version":1},"cited_work":{"arxiv_id":"2503.04094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.04094","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Karten, A","venue":null,"work_id":"f0d72d58-b045-4529-8319-3bc8c0cf0966","year":2025},"citing_paper":{"arxiv_id":"2603.12145","last_updated":"2026-05-17T22:47:12Z","snapshot_observed_at":"2026-07-06T22:48:53.198077Z","submitted_at":"2026-03-12T16:45:47Z","title":"Automatic Generation of High-Performance RL Environments","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-21T11:04:11.718672Z"},"links":{"cited_paper":"/paper/2503.04094","citing_paper":"/paper/2603.12145"},"observation_digest":"sha256:b75e12c3ed1d2b4578e976c024b9d9ac6ab68d1e71050f76a1138eed6d0593d1","observation_id":"fed3dd22-730b-4792-887d-16c64b7709fe","resolution":{"observed_at":"2026-05-21T11:05:01.505465Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent","version":1},"cited_work":{"arxiv_id":"2503.04094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.04094","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Karten, A","venue":null,"work_id":"f0d72d58-b045-4529-8319-3bc8c0cf0966","year":2025},"citing_paper":{"arxiv_id":"2604.18394","last_updated":"2026-04-20T15:17:03Z","snapshot_observed_at":"2026-07-06T23:05:17.639285Z","submitted_at":"2026-04-20T15:17:03Z","title":"OpenGame: Open Agentic Coding for Games","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T04:11:22.845269Z"},"links":{"cited_paper":"/paper/2503.04094","citing_paper":"/paper/2604.18394"},"observation_digest":"sha256:f7008ba12a982c8c7f45980f5dd477a03a047cfbd6defb20b9911ba5a4c178f8","observation_id":"00db5a6d-e62b-46c9-ae96-afd620061eea","resolution":{"observed_at":"2026-05-11T12:06:03.733068Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent","version":1},"cited_work":{"arxiv_id":"2503.04094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.04094","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Karten, A","venue":null,"work_id":"f0d72d58-b045-4529-8319-3bc8c0cf0966","year":2025},"citing_paper":{"arxiv_id":"2605.09998","last_updated":"2026-05-11T05:21:33Z","snapshot_observed_at":"2026-08-05T19:37:55.297087Z","submitted_at":"2026-05-11T05:21:33Z","title":"Continual Harness: Online Adaptation for Self-Improving Foundation Agents","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T03:50:03.980531Z"},"links":{"cited_paper":"/paper/2503.04094","citing_paper":"/paper/2605.09998"},"observation_digest":"sha256:fdedb95dbfcc407bbcc084eaa6d2e62dec5b6c6ed88f0970b207769a41ae3db7","observation_id":"4051699f-96c0-4d77-8399-871979c2285f","resolution":{"observed_at":"2026-05-12T06:56:27.067224Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.04094/citation-record","integrity":"/paper/2503.04094/integrity","json":"/paper/2503.04094/citation-record.json","paper":"/paper/2503.04094"},"outbound":[],"paper":{"arxiv_id":"2503.04094","last_updated":"2025-03-06T05:06:27Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T06:56:30.048019Z","submitted_at":"2025-03-06T05:06:27Z","title":"Pok\\'eChamp: an Expert-level Minimax Language Agent"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.04094."}