{"as_of":"2026-08-08T17:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7d25ba09acf6670d594e23c1f8f582f230898e2c3e7246988583be4277fc14c","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:03:28.628149Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-08-07T15:12:21.893709Z","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":"2026-05-25T06:40:25.646370Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09332","snapshot_observed_at":"2026-08-07T15:12:21.893709Z","title":"Full swap regret and discretized calibration","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16141","last_updated":"2025-05-22T02:35:38Z","snapshot_observed_at":"2026-08-08T15:42:18.786943Z","submitted_at":"2025-05-22T02:35:38Z","title":"Persuasive Prediction via Decision Calibration","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T15:12:21.893709Z"},"links":{"cited_paper":"/paper/2502.09332","citing_paper":"/paper/2505.16141"},"observation_digest":"sha256:c1cbd6d7d3c14d3cc94f8ea926e841399a779b59feca6981b32d953f24e2a0f3","observation_id":"19f655a7-084a-4cd4-9ea7-b6d405b95c94","resolution":{"observed_at":"2026-08-07T15:12:21.893709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09332","snapshot_observed_at":"2026-08-07T13:40:17.300783Z","title":"Full swap regret and discretized calibration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.21460","last_updated":"2025-05-27T17:31:47Z","snapshot_observed_at":"2026-08-08T15:16:20.166426Z","submitted_at":"2025-05-27T17:31:47Z","title":"High-Dimensional Calibration from Swap Regret","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T13:40:17.300783Z"},"links":{"cited_paper":"/paper/2502.09332","citing_paper":"/paper/2505.21460"},"observation_digest":"sha256:a05e58bd3bdb2c264570ee35951eab209b3abb7fa23ebbdecb11c84482d71a61","observation_id":"d563b610-5a9f-4d14-953c-2b578646005d","resolution":{"observed_at":"2026-08-07T13:40:17.300783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"cited_work":{"arxiv_id":"2502.09332","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.09332","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fishelson, R","venue":null,"work_id":"4b9ca272-dde8-4856-a4d2-236ff2154ddf","year":2025},"citing_paper":{"arxiv_id":"2605.11490","last_updated":"2026-05-22T07:58:08Z","snapshot_observed_at":"2026-08-02T02:51:49.294763Z","submitted_at":"2026-05-12T04:06:40Z","title":"Adaptive Calibration in Non-Stationary Environments","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-13T01:47:26.997388Z"},"links":{"cited_paper":"/paper/2502.09332","citing_paper":"/paper/2605.11490"},"observation_digest":"sha256:1b6c5eae8a5193182dfc06ff9671b77776fff286d5c9c85d666e7c264feeb760","observation_id":"17552263-ebe5-4e7d-be24-93fa282cf1a7","resolution":{"observed_at":"2026-05-13T01:52:05.891330Z","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":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"cited_work":{"arxiv_id":"2502.09332","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.09332","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fishelson, R","venue":null,"work_id":"4b9ca272-dde8-4856-a4d2-236ff2154ddf","year":2025},"citing_paper":{"arxiv_id":"2605.11490","last_updated":"2026-05-22T07:58:08Z","snapshot_observed_at":"2026-08-02T02:51:49.294763Z","submitted_at":"2026-05-12T04:06:40Z","title":"Adaptive Calibration in Non-Stationary Environments","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-25T06:38:06.724991Z"},"links":{"cited_paper":"/paper/2502.09332","citing_paper":"/paper/2605.11490"},"observation_digest":"sha256:9e3c58c9bf1fb8f4bba52955f60355cd01ceb604e95e4b232dbaf92d566cc367","observation_id":"84cc4b71-537d-4e64-ae87-56f54aaca3f8","resolution":{"observed_at":"2026-05-25T06:40:25.649109Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2502.09332/citation-record","integrity":"/paper/2502.09332/integrity","json":"/paper/2502.09332/citation-record.json","paper":"/paper/2502.09332"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.874511Z","title":"Efficient phi-regret minimization in extensive-form games via online mirror descent","venue":null,"work_id":"8f62c8a1-9407-4d28-8a7a-a0d70cbc6dda","year":2022},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.459077Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:45618092accd1ed31344b032882ebe82e5a58f5cc2b9e534a66e7596774bf3f6","observation_id":"5f1cff43-a6cb-4017-9d76-9825a0649534","resolution":{"observed_at":"2026-08-07T22:03:29.928206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.796823Z","title":"From external to internal regret","venue":null,"work_id":"427b8f1e-e56d-4a52-853a-4057ef1b9755","year":2007},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.507235Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:9e6f51514e9f325be1158a0fa710f4ef4daad5c6a721a06be24d1320f8e5583f","observation_id":"778ab72c-8478-4cf6-b3d1-3e0271972a2c","resolution":{"observed_at":"2026-08-07T22:03:29.836863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.718816Z","title":"Selling to a no-regret buyer","venue":null,"work_id":"2c6393ba-b2be-4cbd-9355-e7d7866a8f05","year":2018},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.563820Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:fa9b90812c03ca1d82960890ecfd22c6bc465d227e656ce24bf2685a9537df0d","observation_id":"4672198b-5a8a-4860-bb89-b519773f53f2","resolution":{"observed_at":"2026-08-07T22:03:29.737872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:27.616395Z","title":"Verification of forecasts expressed in terms of probability","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.616395Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:4628089dd9ee82ee4d82f7b1210f13f54803d750e2c07b0a874b027f8edc9282","observation_id":"508bd257-242d-4270-b11c-e81741789665","resolution":{"observed_at":"2026-08-07T22:03:27.616395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.691984Z","title":"The approximation of convex sets by polyhedra","venue":null,"work_id":"8a9c94d0-5295-408f-b9b9-33dff47341cc","year":1975},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.699828Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:0ff1985bda6903ff7b1d33b7cf9a431de8f58b5579a5cb700a4c3ddb8422acd6","observation_id":"57c949b7-1013-4f80-9c0d-8d69757d967f","resolution":{"observed_at":"2026-08-07T22:03:29.697341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.675529Z","title":"Superhuman ai for heads-up no-limit poker: Libratus beats top professionals","venue":null,"work_id":"6c963f26-54d2-44e7-bd31-1e58100ef61f","year":2018},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.740470Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:da0bfd51be9b6fba10f46cbc3da84bf74277c29c471decfa8af40d04100ed505","observation_id":"c5cd34da-ee69-42fe-b0a0-756d227981ce","resolution":{"observed_at":"2026-08-07T22:03:29.681037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:27.770532Z","title":"Is learning in games good for the learners? Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.770532Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:cd35d2454285aeb23a574a717e2e664baa71bea1e0a6732ec49fadfb4e742541","observation_id":"8bd9ca1c-a4f4-4a01-84b6-97765add48c5","resolution":{"observed_at":"2026-08-07T22:03:27.770532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.647213Z","title":"Selling to multiple no-regret buyers","venue":null,"work_id":"aa87aeec-606f-4a07-a8b2-59472888f618","year":2023},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.776968Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:05d722941d8aca01e8345ab8107d81b171382d18b590883ffcb49ca43d7d547b","observation_id":"b10f2e75-1ef3-4d68-911f-f7ff8e046776","resolution":{"observed_at":"2026-08-07T22:03:29.653299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:27.781333Z","title":"Mechanisms for a no-regret agent: Beyond the common prior","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.781333Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:cc5815ae7c589ecc3f1edce76b365910b846128ed106ddb3c051ae71029ab54a","observation_id":"8cf0eca9-1452-412d-b3bf-0624bae5ceb3","resolution":{"observed_at":"2026-08-07T22:03:27.781333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.578680Z","title":"Decentralized no-regret learning algorithms for extensive-form correlated equilibria","venue":null,"work_id":"e238de05-aa85-4d54-ac55-e2efd0fb820c","year":2021},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.786066Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:e782d0354fb5543ac2b910736fb30dabd80fcce85ce045545dd7ea6a1b5496d9","observation_id":"ab253f1f-102b-477e-8085-811a04ec0b27","resolution":{"observed_at":"2026-08-07T22:03:29.599309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:27.790802Z","title":"Prediction, learning, and games","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.790802Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:889a16d039577d256f0979b7666f51a6abea15362f572ee9419b4090d0fda3bf","observation_id":"e165c181-d411-4f3f-9bac-7ae810c7e281","resolution":{"observed_at":"2026-08-07T22:03:27.790802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.520113Z","title":"Efficient learning in polyhedral games via best-response oracles","venue":null,"work_id":"21ef5f3d-640c-4996-b539-a6adb01f8242","year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.795829Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:b617e365993e9d3808e99292a2d279e55b6e324f3255641a522227adc73e01f6","observation_id":"cb29c06b-3197-448c-838a-e9bbdfd79285","resolution":{"observed_at":"2026-08-07T22:03:29.540936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2310.19786","last_updated":"2025-02-24T02:58:57Z","snapshot_observed_at":"2026-07-06T16:40:39.567420Z","submitted_at":"2023-10-30T17:50:29Z","title":"From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19786","snapshot_observed_at":"2026-08-07T22:03:27.800280Z","title":"From external to swap regret 2.0: An efficient reduction and oblivious adversary for large action spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.800280Z"},"links":{"cited_paper":"/paper/2310.19786","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:2b89e639d5816c96c3b9f36af18c3322e429ea4a43e128db14f05fb0793695c9","observation_id":"2824db4c-51e3-4fc6-82ab-c4ff4b7c1bec","resolution":{"observed_at":"2026-08-07T22:03:27.800280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13668","last_updated":"2024-11-15T20:32:38Z","snapshot_observed_at":"2026-08-08T15:16:06.041591Z","submitted_at":"2024-06-19T16:19:39Z","title":"Breaking the $T^{2/3}$ Barrier for Sequential Calibration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13668","snapshot_observed_at":"2026-08-07T22:03:27.805526Z","title":"Breaking the t^ 2/3 barrier for sequential calibration, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.805526Z"},"links":{"cited_paper":"/paper/2406.13668","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:de29b6c4b3a9fb0e406f1ece26c04a656a64a820728e9802a8d75f5e66612c2f","observation_id":"c2a26af0-d060-4a7b-b900-08d8d1ff9a1f","resolution":{"observed_at":"2026-08-07T22:03:27.805526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20291","last_updated":"2024-12-28T22:05:04Z","snapshot_observed_at":"2026-07-06T20:14:12.724584Z","submitted_at":"2024-12-28T22:05:04Z","title":"Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games","version":1},"cited_work":{"arxiv_id":"2412.20291","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.20291","snapshot_observed_at":"2026-08-07T22:03:28.797219Z","title":"Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games","venue":"cs.GT","work_id":"30246d8a-fdfd-461a-a5e8-d667400d6426","year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.810520Z"},"links":{"cited_paper":"/paper/2412.20291","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:fe8162215f9f265b088ea2a09b3dd6af05fe37b95cec496c72ca37831081cc39","observation_id":"e71c5f2e-c1c3-4be4-950b-df64cf8106fa","resolution":{"observed_at":"2026-08-07T22:03:28.851147Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.464108Z","title":"Prior-free dynamic auctions with low regret buyers","venue":null,"work_id":"3ef6fa55-6b61-4eea-bc42-17c19e9ba6fb","year":2019},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.832961Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:076e5df7d32725c81eac65b286b8c05d0d7cb6bc7045a19aa8c829e34135809e","observation_id":"56a54a53-5535-46b1-b83c-a45e540fd84f","resolution":{"observed_at":"2026-08-07T22:03:29.495632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.360005Z","title":"Strategizing against no-regret learners","venue":null,"work_id":"df3799bd-15df-4f04-a56d-dc66da6f55d8","year":2019},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.882744Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:db085f04cb36b949efb0a23cb35b3e76d8e4d8cb7832edebf0d03e286da580ee","observation_id":"81d98b4f-ffea-44db-861d-beb6c9da5200","resolution":{"observed_at":"2026-08-07T22:03:29.399144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.291974Z","title":"Polynomial-time linear-swap regret minimization in imperfect-information sequential games","venue":null,"work_id":"7b082ecf-2287-4c7e-a566-9a9179f0e4ee","year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.904896Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:15eab17972807dbe1ee802ff4ec1b95a56761c73676865638a14940e3819fb3f","observation_id":"b8bd2958-ba6f-4917-879f-3b561390a6bc","resolution":{"observed_at":"2026-08-07T22:03:29.320598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.237507Z","title":"Calibrated learning and correlated equilibrium","venue":null,"work_id":"674e687d-3ddb-4d07-82ca-3f849e2890b1","year":1997},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:27.942660Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:0b96438e324494cf96e2d22967e068ca3e6b374e927dc1d7798bacae4ef56c84","observation_id":"4d96ba1c-2ae9-4bbb-b267-c7ca9bae16ca","resolution":{"observed_at":"2026-08-07T22:03:29.248458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.032276Z","title":"Asymptotic calibration","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.032276Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:617db36b79bfc3f174da72ffec9f291ecec9c42c653f3d8a816fb6410b157797","observation_id":"ee1b67d8-9cf4-4d1e-9161-08eeb25bd9b7","resolution":{"observed_at":"2026-08-07T22:03:28.032276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.048485Z","title":"Game theory, on-line prediction and boosting","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.048485Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:cc6c2efbb6c8b358c6488862ab5063dfb36433ac9b3054ef5b98e01fb8d43831","observation_id":"cffed375-5563-4489-877c-83843b878d93","resolution":{"observed_at":"2026-08-07T22:03:28.048485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.140016Z","title":"Generative adversarial networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.140016Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:b8dc81d3e420cb8d3ef7bcb06d621fe68bd82c52da57a6451468afab0a30cf58","observation_id":"74158453-da55-4292-a6d4-91a5c48a0acc","resolution":{"observed_at":"2026-08-07T22:03:28.140016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.187541Z","title":"Omnipredictors","venue":null,"work_id":"c85db5c6-4e5d-4465-88b3-37c423e9b2ad","year":2022},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.168596Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:f32a97b14620d4959a70bcb087f0f5377cec46ad7fbbff687446ad4b8cff5ce4","observation_id":"a458bdea-1657-432e-8882-40a6457c2a3f","resolution":{"observed_at":"2026-08-07T22:03:29.192310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.171877Z","title":"Gordon, Amy Greenwald, and Casey Marks","venue":null,"work_id":"27afe93c-a43f-4b0d-b9f4-018bdf88e9bd","year":2008},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.173574Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:4d70a8144b4015db94c372f8429d141ee2de779fc53f5e0079d9341e8fad56eb","observation_id":"f78667c6-7171-4b6a-8f2d-65d1b25edbb4","resolution":{"observed_at":"2026-08-07T22:03:29.177077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.154688Z","title":"Geometric algorithms and combinatorial optimization, volume 2","venue":null,"work_id":"d2987448-c241-40be-9acf-cf9c83807685","year":2012},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.178252Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:7525623d389009237f105e27f87fbfb3eea8105563b306a0c822ae7ce135bd61","observation_id":"dd2b460e-caaf-419b-a52a-5f9a25121b3c","resolution":{"observed_at":"2026-08-07T22:03:29.160167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.138670Z","title":"Calibrated stackelberg games: Learning optimal commitments against calibrated agents","venue":null,"work_id":"a93808a4-cb6d-4d26-b178-e999e3cf794b","year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.182817Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:35e2ebf478c5e51635a82a428e39f54094b2728a3fe54ac1242b2f07039a8a09","observation_id":"13903ebd-f1f2-4971-a273-b15912d2bd00","resolution":{"observed_at":"2026-08-07T22:03:29.143727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.121915Z","title":"Introduction to online convex optimization","venue":null,"work_id":"01bcf545-ed5f-4cc9-bc51-05c20d33751e","year":2022},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.187687Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:6d338f9bc6cc7dfa7930c4bd55cc93819b374910bf4f54e215905c22040a1c3f","observation_id":"7e6e978c-9927-4fb9-910f-f8de5dc9bbd2","resolution":{"observed_at":"2026-08-07T22:03:29.127365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2404.13503","last_updated":"2024-10-10T22:15:26Z","snapshot_observed_at":"2026-07-06T18:03:10.860369Z","submitted_at":"2024-04-21T01:53:20Z","title":"Calibration Error for Decision Making","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13503","snapshot_observed_at":"2026-08-07T22:03:28.234073Z","title":"Calibration error for decision making, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.234073Z"},"links":{"cited_paper":"/paper/2404.13503","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:2360b2ee41e89c1875565cc3d551d185942e3457836bd084b5ce60c6f22d7ff9","observation_id":"5c43839e-870b-4a7f-a941-14474bb61468","resolution":{"observed_at":"2026-08-07T22:03:28.234073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.314875Z","title":"U-calibration: Forecasting for an unknown agent","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.314875Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:04be3a15e6eecbcd59b249d083e312b220e1621c4210b52f4d2d76c313731e5b","observation_id":"3f184c81-48d6-4f6d-8757-6f8946125587","resolution":{"observed_at":"2026-08-07T22:03:28.314875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.093612Z","title":"Strategizing against learners in bayesian games","venue":null,"work_id":"0b13909d-5e1c-4e32-88fb-24b6cdaeb83b","year":2022},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.390852Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:be878174cb5313a7dc9f40c680d768eeade1b0b777a3c2d370add92d03329e4a","observation_id":"a8f1330c-0cad-4a90-8966-220be626fffd","resolution":{"observed_at":"2026-08-07T22:03:29.098656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.077374Z","title":"Scalar and vector partitions of the probability score: Part i","venue":null,"work_id":"05cb5f0c-53eb-45bb-999c-c86547b84ca3","year":1972},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.443362Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:8acb14a75aef135e610e301cd70107aa636c213032b813b1247c68a63f6d59c8","observation_id":"4a7862c7-92c9-4585-a7e6-e8a8c890dd6a","resolution":{"observed_at":"2026-08-07T22:03:29.082506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:29.037357Z","title":"A new vector partition of the probability score","venue":null,"work_id":"d0ef32ae-45b9-49f0-957e-de5649087b87","year":1973},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.489951Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:101e357615a4fc1b9af9e5ca712a73375f6fd50e24b8b37fed1178c711bd1348","observation_id":"0993f165-9c75-4dd0-85e3-eff0fa8fab32","resolution":{"observed_at":"2026-08-07T22:03:29.064291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2310.19647","last_updated":"2023-11-14T17:39:27Z","snapshot_observed_at":"2026-07-06T16:40:31.491333Z","submitted_at":"2023-10-30T15:35:24Z","title":"Fast swap regret minimization and applications to approximate correlated equilibria","version":2},"cited_work":{"arxiv_id":"2310.19647","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.19647","snapshot_observed_at":"2026-08-07T22:03:28.689147Z","title":"Fast swap regret minimization and applications to approximate correlated equilibria","venue":"cs.GT","work_id":"fa680539-f93c-4c8b-bda8-ef8f0b68d532","year":2023},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.516949Z"},"links":{"cited_paper":"/paper/2310.19647","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:0a060b42f4d555875b4bbcba51134b14fc6b3c59136e9bd5aed2e399dccde271","observation_id":"8e42603b-054f-4f51-99c9-745154f7a4d6","resolution":{"observed_at":"2026-08-07T22:03:28.749904Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.976657Z","title":"Stronger calibration lower bounds via sidestepping","venue":null,"work_id":"cd882fa5-53f1-4b79-84bb-24dbe5a89393","year":2021},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.542190Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:7574846f1c55552fe35be0e4c4ca40c5c8739ef236d71b5eae5bd43fa9d13194","observation_id":"e84bb376-a645-44de-8859-b71fcfd614a3","resolution":{"observed_at":"2026-08-07T22:03:28.998744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.554381Z","title":"Forecasting for swap regret for all downstream agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.554381Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:9bdf82dd4825e39c0f73ea6d00566f7738edf69882c5d503ba2c1675fbc61329","observation_id":"d1600d68-7d69-475f-8226-be79e47928d6","resolution":{"observed_at":"2026-08-07T22:03:28.554381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.563196Z","title":"Mastering the game of go without human knowledge","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.563196Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:d1c88dc28a36f7737a1293362a56595117d721f46c1f11a91c1b3f6d24c5ed65","observation_id":"03bb44a7-f59c-4a97-a18a-9d804aa1a555","resolution":{"observed_at":"2026-08-07T22:03:28.563196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:03:28.590961Z","title":"High-dimensional probability: An introduction with applications in data science, volume 47","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.590961Z"},"links":{"citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:4db0b04ce3377fae3fbd005f10b41a9360d6998445e0ca18a9b2992568a76d96","observation_id":"e1994e2a-03d3-4dce-8932-a814caf99584","resolution":{"observed_at":"2026-08-07T22:03:28.590961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09670","last_updated":"2025-02-13T04:25:49Z","snapshot_observed_at":"2026-07-06T17:30:25.359458Z","submitted_at":"2024-02-15T02:31:37Z","title":"Efficient $\\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09670","snapshot_observed_at":"2026-08-07T22:03:28.628149Z","title":"Efficient phi-regret minimization with low-degree swap deviations in extensive-form games","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T22:03:28.628149Z"},"links":{"cited_paper":"/paper/2402.09670","citing_paper":"/paper/2502.09332"},"observation_digest":"sha256:70dfd46702cbd6239a0c0dc97dc819619bdce0e2b5ebf2ee57e45741c4d8d86a","observation_id":"9b4e9a6c-f96c-4ae8-bf62-dc16a58c2e30","resolution":{"observed_at":"2026-08-07T22:03:28.628149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.09332","last_updated":"2025-02-13T13:49:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T15:16:40.745089Z","submitted_at":"2025-02-13T13:49:52Z","title":"Full Swap Regret and Discretized Calibration"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":2,"verified_fuzzy":21},"total_outbound_references":38},"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 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 4 inbound Pith citation observations for arXiv:2502.09332."}