{"as_of":"2026-08-09T05:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85cd67dd6ad826b6662f40d6b0d55a16501f72fb1e5e4d4804477e4951ebc657","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:53:25.787601Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-08T03:24:28.820322Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-08-08T19:53:25.787601Z","title":"Z.; Loizou, N.; Lanctot, M.; Mitliagkas, I.; Brown, N.; and Kroer, C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05314","last_updated":"2025-02-13T23:45:02Z","snapshot_observed_at":"2026-08-08T19:45:58.489713Z","submitted_at":"2025-02-07T20:28:44Z","title":"Two-Player Zero-Sum Differential Games with One-Sided Information","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T19:53:25.787601Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2502.05314"},"observation_digest":"sha256:a119fef49ae828fec7688ca400fdae5374b05e42c0d535eee3afa8327a04233d","observation_id":"114ccd43-414f-413a-be1a-983e04ccef09","resolution":{"observed_at":"2026-08-08T19:53:25.787601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-08-07T20:38:32.878385Z","title":"Sokota, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.09780","last_updated":"2025-02-13T21:28:51Z","snapshot_observed_at":"2026-08-08T00:01:40.401427Z","submitted_at":"2025-02-13T21:28:51Z","title":"Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T20:38:32.878385Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2502.09780"},"observation_digest":"sha256:e5569ae04773f51fae266edb638f8f8e79c346d82a41966153b014308f83ac52","observation_id":"190c2580-1e85-4e8c-9c74-2aeb7f8369c0","resolution":{"observed_at":"2026-08-07T20:38:32.878385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2509.23102","last_updated":"2026-04-06T19:14:12Z","snapshot_observed_at":"2026-08-03T06:33:00.420621Z","submitted_at":"2025-09-27T04:18:33Z","title":"Multiplayer Nash Preference Optimization","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T13:09:54.433720Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2509.23102"},"observation_digest":"sha256:56e7f6f5b23a48b856d5ec91ff383f21f184af10703544de262704b663389c5e","observation_id":"2b233b10-28b9-47d9-b0cd-ab49eb3aba8d","resolution":{"observed_at":"2026-05-18T13:11:23.978594Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2511.03724","last_updated":"2026-05-01T14:26:51Z","snapshot_observed_at":"2026-07-06T22:34:58.108904Z","submitted_at":"2025-11-05T18:58:18Z","title":"Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T00:58:51.759880Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2511.03724"},"observation_digest":"sha256:cf11c54e6b61e9f37fbb18c5b23ae06d5dd017ba3522afab7503838a8d1a4631","observation_id":"a502d113-a250-44f7-af66-af92488bbcc4","resolution":{"observed_at":"2026-05-18T01:00:34.366221Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2605.19235","last_updated":"2026-05-19T01:07:39Z","snapshot_observed_at":"2026-08-03T12:43:59.750963Z","submitted_at":"2026-05-19T01:07:39Z","title":"GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-20T07:50:09.840762Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2605.19235"},"observation_digest":"sha256:bde753b351c4982741d77e0c63b161b730d47cbd57eb30487cecfc08710d4c39","observation_id":"abf03fa3-2d44-4fdf-bc52-d311d7d9fb5b","resolution":{"observed_at":"2026-05-20T07:53:10.001880Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2606.28308","last_updated":"2026-06-26T17:53:30Z","snapshot_observed_at":"2026-08-02T05:40:29.519054Z","submitted_at":"2026-06-26T17:53:30Z","title":"Which Nash Equilibrium? Solver-Dependent Selection on Zero-Sum Nash Polytopes","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-29T01:45:47.417624Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2606.28308"},"observation_digest":"sha256:e295a9d78afbe0da4201dd40ac95f6e4d8ed450cff0e84491e07a6ecd7bb0aa1","observation_id":"f6e8c50c-1c80-40b1-996c-54c4e83aa27b","resolution":{"observed_at":"2026-07-01T18:45:58.589040Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2606.29457","last_updated":"2026-06-28T15:21:27Z","snapshot_observed_at":"2026-08-04T08:01:40.222272Z","submitted_at":"2026-06-28T15:21:27Z","title":"How Much Due Diligence Before You Bid? Learning in Intractable Takeover Auctions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T07:03:22.061105Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2606.29457"},"observation_digest":"sha256:6c766d8e7f28bddc52814eaadda13237269afc4d698cd8e558add2381afd5799","observation_id":"3d3fc67c-431d-4c74-b948-c3c202956b11","resolution":{"observed_at":"2026-06-30T07:04:20.866971Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":"2206.05825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-07-08T03:24:28.820322Z","title":"A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games","venue":"cs.LG","work_id":"a0a0402a-15aa-4ea0-aabb-44ad059f86cd","year":2022},"citing_paper":{"arxiv_id":"2607.06514","last_updated":"2026-07-07T17:18:44Z","snapshot_observed_at":"2026-07-10T23:18:27.878119Z","submitted_at":"2026-07-07T17:18:44Z","title":"FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-08T03:17:09.608451Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2607.06514"},"observation_digest":"sha256:f377164ac844d14ad3dc0f0ae415bbacf0915b24f53bf9eed2f5a7dbdd88360c","observation_id":"4f035eef-7dd1-4219-9ce5-f1e1a664c9e5","resolution":{"observed_at":"2026-07-08T03:24:28.821966Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-08-01T17:45:29.706313Z","title":"Sokota, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17543","last_updated":"2026-07-20T04:38:25Z","snapshot_observed_at":"2026-08-07T23:00:06.245094Z","submitted_at":"2026-07-20T04:38:25Z","title":"The Curvature Shadow: An Apparent Failure of Maximum-Entropy Equilibrium Selection is a Removable Artifact","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T17:45:29.706313Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2607.17543"},"observation_digest":"sha256:8a4260f2824210213b2e48c874aac7df2ad78332e9d97ebfe3c8ec2cd0d76dcd","observation_id":"2a9e4b30-0f75-48d6-aa88-50ce89117c6c","resolution":{"observed_at":"2026-08-01T17:45:29.706313Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.05825","snapshot_observed_at":"2026-08-08T13:37:13.048094Z","title":"arXiv:2206.05825 [cs]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05422","last_updated":"2026-08-05T21:31:23Z","snapshot_observed_at":"2026-08-09T04:10:59.341905Z","submitted_at":"2026-08-05T21:31:23Z","title":"IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T13:37:13.048094Z"},"links":{"cited_paper":"/paper/2206.05825","citing_paper":"/paper/2608.05422"},"observation_digest":"sha256:93d0cb3cd611cf09173a65073afe24bee457477b5a1e93428af200cfbe62b4a1","observation_id":"32ff7f07-4263-46a4-b9a3-51803c1ebd9e","resolution":{"observed_at":"2026-08-08T13:37:13.048094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.05825/citation-record","integrity":"/paper/2206.05825/integrity","json":"/paper/2206.05825/citation-record.json","paper":"/paper/2206.05825"},"outbound":[],"paper":{"arxiv_id":"2206.05825","last_updated":"2023-04-11T17:50:16Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T18:21:52.532112Z","submitted_at":"2022-06-12T19:49:14Z","title":"A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2206.05825."}