{"as_of":"2026-08-14T08:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7486a4d533d4ba60c6417916c13acc817381a5757cc1c0037aba3cb9dc7fbb5e","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:45:19.871345Z","state":"measured"},{"denominator":82,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":82,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T06:40:02.990456Z","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":"2026-05-20T06:43:05.967464Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"cited_work":{"arxiv_id":"2506.24007","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.24007","snapshot_observed_at":"2026-07-20T03:19:12.592591Z","title":"arXiv preprint arXiv:2506.24007 , year=","venue":null,"work_id":"9b5477a2-dd31-42fb-88f6-9ae3fba193f2","year":null},"citing_paper":{"arxiv_id":"2605.20040","last_updated":"2026-05-19T16:01:58Z","snapshot_observed_at":"2026-08-13T11:24:05.759125Z","submitted_at":"2026-05-19T16:01:58Z","title":"Active Context Selection Improves Simple Regret in Contextual Bandits","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-20T06:40:02.990456Z"},"links":{"cited_paper":"/paper/2506.24007","citing_paper":"/paper/2605.20040"},"observation_digest":"sha256:637c2e6e6239c99a0690ee08a8b7442da7ff7b103ae0bcd1becda1fcb66a9dd4","observation_id":"babb4a43-dc15-49de-baf1-f76887b62e15","resolution":{"observed_at":"2026-07-20T03:19:12.592591Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.24007/citation-record","integrity":"/paper/2506.24007/integrity","json":"/paper/2506.24007/citation-record.json","paper":"/paper/2506.24007"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.05527","last_updated":"2022-08-25T22:31:27Z","snapshot_observed_at":"2026-08-10T06:07:21.200001Z","submitted_at":"2022-04-12T04:59:13Z","title":"Neyman allocation is minimax optimal for best arm identification with two arms","version":7},"cited_work":{"arxiv_id":"2204.05527","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.05527","snapshot_observed_at":"2026-08-06T21:45:21.770039Z","title":"Neyman allocation is minimax optimal for best arm identification with two arms","venue":"econ.EM","work_id":"59d76455-8d01-48f9-b591-832a87f300c2","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:11.686482Z"},"links":{"cited_paper":"/paper/2204.05527","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:b9d2e679754abf159eafd1b75be9081346d33c98cd1198c7d48c165d102ce1ab","observation_id":"7a3bb525-21d2-4c81-9b23-78adebec11ae","resolution":{"observed_at":"2026-08-06T21:45:21.920990Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06363","last_updated":"2025-05-03T04:07:57Z","snapshot_observed_at":"2026-08-10T06:06:47.404295Z","submitted_at":"2021-12-13T00:41:19Z","title":"Risk and optimal policies in bandit experiments","version":16},"cited_work":{"arxiv_id":"2112.06363","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.06363","snapshot_observed_at":"2026-08-06T21:45:21.575623Z","title":"Risk and optimal policies in bandit experiments","venue":"econ.EM","work_id":"659e3cfc-4bfa-4b4f-994e-b43aae2daf00","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:11.742542Z"},"links":{"cited_paper":"/paper/2112.06363","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:a05bc8239793fa1d60caa5b7982998f88bfe6a95c15420f68a4e1556447b3216","observation_id":"ef1ad56e-a607-44ad-9a5f-61a7ee166b01","resolution":{"observed_at":"2026-08-06T21:45:21.677244Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15841","last_updated":"2025-05-03T03:42:30Z","snapshot_observed_at":"2026-08-13T13:54:49.681652Z","submitted_at":"2022-10-28T02:23:43Z","title":"How to sample and when to stop sampling: The generalized Wald problem and minimax policies","version":7},"cited_work":{"arxiv_id":"2210.15841","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.15841","snapshot_observed_at":"2026-08-06T21:45:21.419778Z","title":"How to sample and when to stop sampling: The generalized Wald problem and minimax policies","venue":"econ.EM","work_id":"9f23abd0-2154-432b-8e84-b3a1addf3035","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:11.863242Z"},"links":{"cited_paper":"/paper/2210.15841","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:ad586fd309aa854be7bc98be2b7beaac8efa75bf810e2a0bc0a593ead5c2cf4f","observation_id":"07c8e29c-cb1c-4fab-bbc4-1d1708498f62","resolution":{"observed_at":"2026-08-06T21:45:21.477391Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:11.945171Z","title":"Dynamically optimal treatment allocation, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:11.945171Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:6c8ec7756fe86c4ab8edc26c74975d9ff2d679e4947a06b214093ee8eec1568b","observation_id":"935dc5e7-939e-4847-883f-e75634c8b398","resolution":{"observed_at":"2026-08-06T21:45:11.945171Z","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":"2026-08-06T21:45:31.812988Z","title":"Advanced Econometrics","venue":null,"work_id":"4ea5f40e-d554-4345-ab96-0bae5d634822","year":1985},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.034001Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:4479ceaef1eb70a26bb06bdc8a96124feadac1920c9430121d07ecb2e5fa956b","observation_id":"66656699-5aad-4171-ae2b-8e5f71114779","resolution":{"observed_at":"2026-08-06T21:45:31.926528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.08229","last_updated":"2021-11-24T10:10:34Z","snapshot_observed_at":"2026-08-13T18:09:56.032167Z","submitted_at":"2021-09-16T21:27:03Z","title":"Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.08229","snapshot_observed_at":"2026-08-06T21:45:12.187257Z","title":"Policy choice and best arm identification: Asymptotic analysis of exploration sampling, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.187257Z"},"links":{"cited_paper":"/paper/2109.08229","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:1dafc40a26d54b14259fb757b55121508ce2b9e2014aa2f7411e5dc606fc0f97","observation_id":"fbbe8252-3f6e-4537-89a0-89e4e5411a8b","resolution":{"observed_at":"2026-08-06T21:45:12.187257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.02726","last_updated":"2026-05-18T20:14:02Z","snapshot_observed_at":"2026-07-06T13:07:01.819100Z","submitted_at":"2022-05-05T15:57:06Z","title":"Asymptotic Efficiency Bounds for a Class of Experimental Designs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.02726","snapshot_observed_at":"2026-08-06T21:45:12.286400Z","title":"Armstrong","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.286400Z"},"links":{"cited_paper":"/paper/2205.02726","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:659e0dbd48fa4ed889fbc7ae83ac6e390ba85d14dbbd634dd641c61aefd56152","observation_id":"0cc9ad78-5da2-4bef-8dbe-c0c7e9647c10","resolution":{"observed_at":"2026-08-06T21:45:12.286400Z","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":"2026-08-06T21:45:31.621999Z","title":"Policy learning with observational data","venue":null,"work_id":"a348be43-383a-4cad-99ef-74d6a1b8d3ef","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.354720Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:8aed75c7a30b85c8ba6fbe5eea59a89660e939c8dbb98d8c38d52c20c2a81675","observation_id":"91880e50-a186-4829-8bae-9553c2cc8233","resolution":{"observed_at":"2026-08-06T21:45:31.698975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.08572","last_updated":"2023-06-15T13:29:25Z","snapshot_observed_at":"2026-08-13T13:42:09.022358Z","submitted_at":"2022-11-15T23:29:51Z","title":"Bayesian Fixed-Budget Best-Arm Identification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.08572","snapshot_observed_at":"2026-08-06T21:45:12.436369Z","title":"Bayesian fixed-budget best-arm identification, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.436369Z"},"links":{"cited_paper":"/paper/2211.08572","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:a27e37bf70f3dc5085a54586a513dda2326fdf1d6cc23e24d73481889f580bcb","observation_id":"1d6573f2-a51f-4d87-aef8-9b5f9c8f3cc3","resolution":{"observed_at":"2026-08-06T21:45:12.436369Z","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":"2026-08-06T21:45:31.568771Z","title":"Minimax policies for adversarial and stochastic bandits","venue":null,"work_id":"591294fb-2ab4-4067-bd54-c30b133abf64","year":2009},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.520943Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:752bee0ed92d095de2d3b5c4f95ba585194af6cdb0966109b83efe7003442b38","observation_id":"5663a775-c4fb-4fd5-8f70-6bf941b60775","resolution":{"observed_at":"2026-08-06T21:45:31.615161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:31.404399Z","title":"Best arm identification in multi-armed bandits","venue":null,"work_id":"9892bc45-a0f2-410f-a757-80a518488506","year":2010},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.600093Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:1f8348e09ae719953d8698fc6ec83456fa6b786da615e89cc69aeb120634948d","observation_id":"32945020-e9b7-4811-b717-891011a5cf22","resolution":{"observed_at":"2026-08-06T21:45:31.465295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:31.220984Z","title":"Pure exploration in finitely-armed and continuous-armed bandits","venue":null,"work_id":"0992e21a-7b0a-42fe-b5bb-33288b94df46","year":2011},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.678120Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:8ee1ce030e8a2d379877109b876d087b3bf131f7d58756ef6c8c411409ce9058","observation_id":"7a97bbd5-5d06-459c-9432-1988e5153b26","resolution":{"observed_at":"2026-08-06T21:45:31.326193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:30.934506Z","title":"Distribution Function Inequalities for Martingales","venue":null,"work_id":"b2527069-734b-4820-bc01-40cfa53feac5","year":1973},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.773012Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:af3c89414bc07c20f032d02263de205b6c10718822b0e351e3fa0f38a2ffc32e","observation_id":"79c2dd32-d5b6-474e-b2d0-5c3ebf6d6406","resolution":{"observed_at":"2026-08-06T21:45:31.070284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:30.631294Z","title":"Burnetas and Michael N","venue":null,"work_id":"3b911489-b676-4917-87af-c91ff7db108f","year":1996},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.864332Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:61eea0ddb50ac6297b7c00bb1f5bc5c586a2aed5cc5eaaababf47081c4b62e9c","observation_id":"c7be3678-4efd-481f-8d63-140c513126ca","resolution":{"observed_at":"2026-08-06T21:45:30.770771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:30.310508Z","title":"On the performance of the neyman allocation with small pilots","venue":null,"work_id":"8223996a-e237-419b-8a7b-ac151df4fa18","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.925474Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:d0dd43f89aea104401781aef1ebe8d6baf4c165f687257fe7fd3c19334d5d292","observation_id":"cb12ec39-52ab-4d78-8510-c75e91062e86","resolution":{"observed_at":"2026-08-06T21:45:30.480462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:30.100348Z","title":"Geometric Modeling in Probability and Statistics","venue":null,"work_id":"360bcd0d-9383-470a-9782-28a5955cbcf5","year":2014},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:12.994054Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:6b62943181bd676fe266d29d9ccc7ca05a49d46da9c139a37674767294f81061","observation_id":"851d2df0-1cc0-4a16-9576-dbeb559a25ff","resolution":{"observed_at":"2026-08-06T21:45:30.183448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:29.933859Z","title":"Tight (lower) bounds for the fixed budget best arm identification bandit problem","venue":null,"work_id":"4b104f63-1540-4be2-9d90-75b81aa0d6a4","year":2016},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.062157Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:26777542af13a3df45c779bdae88bfa009149f922e50a219bbfbbb5d6698885e","observation_id":"2582e0a0-8097-4591-bdf0-7caf29e27f8a","resolution":{"observed_at":"2026-08-06T21:45:30.011629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:29.768055Z","title":"An effective approach to smartly allocate computing budget for discrete event simulation","venue":null,"work_id":"6fdea07a-2949-409d-b0c3-554aa0890e0a","year":1995},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.116834Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:06d0bb010bbe6f9304d39b51e1236698d102e4a30b931fa3b59ecbb2a935e834","observation_id":"46e6d023-8121-4c92-8033-b68796ed9a62","resolution":{"observed_at":"2026-08-06T21:45:29.848166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:29.595200Z","title":null,"venue":null,"work_id":"b12bd537-5617-48d5-8663-baf257fc6878","year":2000},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.165330Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:67ec1e0bcc279c1739d13571716c2823b91b24a106f5711378582c6565133a07","observation_id":"36d9dbde-7c1c-4077-8ac1-44ce7b5b9b4d","resolution":{"observed_at":"2026-08-06T21:45:29.673505Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:29.431448Z","title":"Semiparametric efficient inference in adaptive experiments","venue":null,"work_id":"111100cd-92b7-4116-8300-d232935107c7","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.231437Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:5710e2e789628c2e7146009c7d674b2501212ea20e165bd376e724392f94dc89","observation_id":"89a9f51e-37fa-4e2b-9592-c152ab82686c","resolution":{"observed_at":"2026-08-06T21:45:29.508285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:29.210971Z","title":"CLIP - OGD : An experimental design for adaptive neyman allocation in sequential experiments","venue":null,"work_id":"0bf826af-1489-4780-bcfd-010025814610","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.323619Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:5a6408097e09204ad5b427d9ed25306dc9054acc9594a5ca8da508078bdc2f55","observation_id":"8587fde0-2a60-4adf-80ee-fd9f9d507d76","resolution":{"observed_at":"2026-08-06T21:45:29.326566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.964611Z","title":"On the existence of a complexity in fixed budget bandit identification","venue":null,"work_id":"59bfcb03-be48-4abd-af5c-60e5cd294be0","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.408073Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:462ac4ef9ba2da0af9cea25e2309d4ba4107722767c9db0a72f9cbcee3a06b4a","observation_id":"2f3976fe-cba6-44c3-82bf-22a9d1fcb2aa","resolution":{"observed_at":"2026-08-06T21:45:29.101907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.759685Z","title":"Lecture notes on statistics and information theory, 2023","venue":null,"work_id":"a675cced-b9ad-431e-b357-9c4e76eb6c92","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.471979Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:ddd24c259449c730a17988d6cb364bb41db24ee12611e0fa40687b4f71575cdf","observation_id":"e67ca251-ca5b-4b27-b2f9-1b32f647ca25","resolution":{"observed_at":"2026-08-06T21:45:28.844391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.664303Z","title":"Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya","venue":null,"work_id":"9921584e-7169-4b19-8008-ce2cce390190","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.565342Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:ea9e78fd914bc79e9b13a708333f77642de5d6dbe56f406a8d9799c68e0efcce","observation_id":"6855e0f6-f176-4c44-9ec8-0a4de779a78d","resolution":{"observed_at":"2026-08-06T21:45:28.708954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.557177Z","title":"Adaptive designs for clinical trials of drugs and biologics: Guidance for industry","venue":null,"work_id":"6a70cb79-c4c9-476c-b600-68f9a019f520","year":2019},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.630609Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:bafe8650be1c8557d79f77334c4e69489510e752461f44fd3731f41be3e2ee2e","observation_id":"58c0aa34-185e-40da-b9e9-4dd7e9f4fdcd","resolution":{"observed_at":"2026-08-06T21:45:28.608181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.436863Z","title":"Optimal best arm identification with fixed confidence","venue":null,"work_id":"9b8519ec-0a41-414b-adc6-bb23ab1d86a3","year":2016},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.718275Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:6fd4139427d9169debb8bfc6c5c74c50f6531a89cf654b61ca1b802d9bd6dcb3","observation_id":"829ad050-2c76-41e5-be6b-3bec4cc87e7e","resolution":{"observed_at":"2026-08-06T21:45:28.505847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.318343Z","title":null,"venue":null,"work_id":"9f853d16-0803-405b-9d33-ff43aa8d1131","year":1989},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.802559Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:8636392dc4ee6c0d91cd9a77da7f5ea3946fa8254d817d95d50186ff65134e04","observation_id":"17a8c071-ab43-4a40-8f0d-bc68165ba606","resolution":{"observed_at":"2026-08-06T21:45:28.381151Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.184982Z","title":"A large deviations perspective on ordinal optimization","venue":null,"work_id":"039b881f-552c-4219-afe4-5faac5b84277","year":2004},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.900442Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:b4062b5e2705ba27eda3e37708a29db6618abdb6f078e79b297e72f1e8acdc7c","observation_id":"9fb1b21d-9927-4cb9-b73f-619a0766f9db","resolution":{"observed_at":"2026-08-06T21:45:28.245374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:28.061888Z","title":"Adaptive experimental design using the propensity score","venue":null,"work_id":"82eda438-626c-44cf-9ec1-12002df19a46","year":2011},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.919605Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:f0e7129c87a29d7df3aaabff50d0bb28ef55ef69abbc3cd24be94e1c2ef5c75c","observation_id":"38c38442-fe75-424b-9086-9c1041f4e0ae","resolution":{"observed_at":"2026-08-06T21:45:28.119151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.932907Z","title":"Martingale Limit Theory and Its Application","venue":null,"work_id":"547c2a52-46ee-4a47-97a6-7f783d9811d3","year":2014},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:13.941190Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:51ce99766da43774f72e1b6d6e7e58c31cf169e1c48c41be1f3579341f306c5a","observation_id":"ff48a3ea-ad39-4ace-8385-cccd2e4ad792","resolution":{"observed_at":"2026-08-06T21:45:27.998707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.804209Z","title":"Econometrics","venue":null,"work_id":"c2801d6c-b158-4061-aac0-683272385a40","year":2000},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.064174Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:81d7977a8eac08ba70874699664206f3bbac7211c14d40ccb346f071a251e53a","observation_id":"bdb5cea3-1f03-4203-8f8d-f0f394250e52","resolution":{"observed_at":"2026-08-06T21:45:27.865636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.697033Z","title":"Econometrics: Typo\\/error alert, 2010","venue":null,"work_id":"1642aa70-c7bf-41e5-8f8a-a0f5cdfeb2ba","year":2010},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.224755Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:c5d92853259d5e945dfce031a7403dfc28c0eae578b15d3419ca01157b9fc40a","observation_id":"8a10725f-c52a-4015-bad4-23ef65271da1","resolution":{"observed_at":"2026-08-06T21:45:27.749693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.560339Z","title":null,"venue":null,"work_id":"cd793233-3e18-409c-9435-fe8ebd99f659","year":2009},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.336872Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:d5329b175d78d6f1cb867c2c8a4a5103dfdeec99738dc83bf4becb73facaf956","observation_id":"ccb29ac0-12f5-46a6-af49-200a65ccd7b8","resolution":{"observed_at":"2026-08-06T21:45:27.625305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.03117","last_updated":"2025-02-22T01:50:09Z","snapshot_observed_at":"2026-08-13T12:49:51.723553Z","submitted_at":"2023-02-06T20:54:08Z","title":"Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.03117","snapshot_observed_at":"2026-08-06T21:45:14.430118Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.430118Z"},"links":{"cited_paper":"/paper/2302.03117","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:0a0dd8c88fe4e4aa6888f43500932981d4937951be72119ad6a7722d17537461","observation_id":"5b2e5855-a845-4e55-8ed7-ee2a92d722ea","resolution":{"observed_at":"2026-08-06T21:45:14.430118Z","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":"2026-08-06T21:45:14.515993Z","title":"Imbens and Donald B","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.515993Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:bb7f9af1c859700faca3dea63292c8160d25a07e7a157219960d3cfa00702f25","observation_id":"2b8a8d38-2f50-46d7-8e94-d9669728bbe8","resolution":{"observed_at":"2026-08-06T21:45:14.515993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05329","last_updated":"2025-06-05T17:58:43Z","snapshot_observed_at":"2026-08-13T01:20:53.550628Z","submitted_at":"2025-06-05T17:58:43Z","title":"Admissibility of Completely Randomized Trials: A Large-Deviation Approach","version":1},"cited_work":{"arxiv_id":"2506.05329","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.05329","snapshot_observed_at":"2026-08-06T21:45:21.122085Z","title":"Admissibility of Completely Randomized Trials: A Large-Deviation Approach","venue":"stat.ML","work_id":"ccc9f3fd-ea5e-417f-9b74-1972282a0e37","year":2025},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.702989Z"},"links":{"cited_paper":"/paper/2506.05329","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:355afd712ef22164ce69bf7f276c2a19bf33d027c825369bb0f05c8ffbb8b34d","observation_id":"3e53aefd-683f-4e3d-bb6e-21cab18d34ad","resolution":{"observed_at":"2026-08-06T21:45:21.217926Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.420451Z","title":"Double reinforcement learning for efficient off-policy evaluation in markov decision processes","venue":null,"work_id":"0cb2c91c-b459-4ef0-a83d-12db822527c2","year":2020},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.788107Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:dcc42e24fdbdcd9185ea6653f7bff52303ca5d28cfe4f8e4ec82055b75fa1099","observation_id":"3b4fee4a-978a-432c-afe8-f14554b3d1e0","resolution":{"observed_at":"2026-08-06T21:45:27.466522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.256313Z","title":"Karlan and Jonathan Zinman","venue":null,"work_id":"fe6d59df-f759-445a-89d9-8ca72cd94b74","year":2005},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:14.865138Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:25d03ab0e3a6646df1a647c2ddcfcbe4d77c919ee99205d7770aec059d6b7bea","observation_id":"ccb8c5af-0bd8-4940-91ab-701206f590df","resolution":{"observed_at":"2026-08-06T21:45:27.334274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:27.096476Z","title":"Adaptive treatment assignment in experiments for policy choice","venue":null,"work_id":"0e092ac5-bf8f-498c-809a-4e7a6aa23ee1","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.044268Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:b206bdfec1a11967fe1aac3caaa05e15cc8aa1ef321cba9f4027d67493b53537","observation_id":"88416ec3-d512-4f14-b14e-036f497b6311","resolution":{"observed_at":"2026-08-06T21:45:27.169762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:26.988675Z","title":"adaptive treatment assignment in experiments for policy choice","venue":null,"work_id":"30b9b3be-d57e-4c0b-a3ed-25bb40358178","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.130857Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:ad48652899b7cec8839432b6969650d09dd096ffe83386bf913c11195a1c85ab","observation_id":"74325216-c836-4a99-8ff8-61d23502f85d","resolution":{"observed_at":"2026-08-06T21:45:27.036384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19317","last_updated":"2025-02-02T18:50:55Z","snapshot_observed_at":"2026-08-12T23:54:55.774728Z","submitted_at":"2024-05-29T17:43:13Z","title":"Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification","version":4},"cited_work":{"arxiv_id":"2405.19317","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.19317","snapshot_observed_at":"2026-08-06T21:45:20.861819Z","title":"Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification","venue":"cs.LG","work_id":"352c4509-e7d0-40ce-8109-71d1b369d820","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.215738Z"},"links":{"cited_paper":"/paper/2405.19317","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:a6a61d2d08f8fd363e44d4f48af2f1820027f7549764404b4696159af7a71093","observation_id":"adaaf3dd-29bf-4a88-a014-e465d848768e","resolution":{"observed_at":"2026-08-06T21:45:20.989334Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:26.819901Z","title":"Neyman allocation for two-armed gaussian best-arm identification with unknown variances","venue":null,"work_id":"2ba5c880-d60c-4a8d-bc19-663f37e4c33c","year":2025},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.288243Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:0904c8ef7035b283c494fb32c27ce9b77c3c2860f94a8fc1342ddd0df119c09a","observation_id":"9c46fad3-c2c5-4b2c-bf41-f7a78d5f4442","resolution":{"observed_at":"2026-08-06T21:45:26.888903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:26.662167Z","title":"The role of contextual information in best arm identification, 2021","venue":null,"work_id":"75e433d9-c559-43a1-af0c-1329efa4ea81","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.406857Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:6edc27d823c72bd54ce40c83338d90a0ec5c6805dae90b1cdca9deb24b564758","observation_id":"aaf74622-287c-4710-bd71-8b3d08beb1ca","resolution":{"observed_at":"2026-08-06T21:45:26.719745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05308","last_updated":"2025-02-20T16:32:53Z","snapshot_observed_at":"2026-07-06T08:56:56.465174Z","submitted_at":"2020-02-13T02:04:17Z","title":"Efficient Adaptive Experimental Design for Average Treatment Effect Estimation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05308","snapshot_observed_at":"2026-08-06T21:45:15.492818Z","title":"Efficient adaptive experimental design for average treatment effect estimation, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.492818Z"},"links":{"cited_paper":"/paper/2002.05308","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:87f64fe3f6742a799b9abf220e5760a21d9ae1be0caf25caf6906aa6262b92da","observation_id":"bb29cd48-70ad-44e4-a3d7-d7c24cfc3377","resolution":{"observed_at":"2026-08-06T21:45:15.492818Z","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":"2026-08-06T21:45:26.462262Z","title":"The adaptive doubly robust estimator and a paradox concerning logging policy","venue":null,"work_id":"efa95f55-b5a8-44ff-a094-4576563aee8b","year":2021},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.639870Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:cd57ae2e36edd2de15eee40dc2e548ffbfb35042b32783d9893784ed6c0ccf9f","observation_id":"96367f3f-f15e-4cb8-94ec-fb79e07f6b39","resolution":{"observed_at":"2026-08-06T21:45:26.526956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.02988","last_updated":"2023-07-12T16:06:58Z","snapshot_observed_at":"2026-08-13T12:49:59.551011Z","submitted_at":"2023-02-06T18:27:11Z","title":"Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds","version":2},"cited_work":{"arxiv_id":"2302.02988","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.02988","snapshot_observed_at":"2026-08-06T21:45:20.602928Z","title":"Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds","venue":"cs.LG","work_id":"0bb458f4-f93e-4c7e-9a1f-9184fbf0513d","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.803094Z"},"links":{"cited_paper":"/paper/2302.02988","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:c4da83a12f8358e945b1bf213bebaad8e55d7d0b3814e51307186c2c90b4e178","observation_id":"d3441788-bd31-4646-95c1-b04715917fba","resolution":{"observed_at":"2026-08-06T21:45:20.704351Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07330","last_updated":"2023-01-04T18:56:11Z","snapshot_observed_at":"2026-08-13T14:25:44.081599Z","submitted_at":"2022-09-15T14:38:47Z","title":"Best Arm Identification with Contextual Information under a Small Gap","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.07330","snapshot_observed_at":"2026-08-06T21:45:15.924971Z","title":"Best arm identification with contextual information under a small gap, 2023 b","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:15.924971Z"},"links":{"cited_paper":"/paper/2209.07330","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:2f761cbdf34eb93faa94d9effd84446d0242fe6ded7133168be59e195249dd33","observation_id":"54e30251-63b9-44ba-b606-e1cdfe17d2cb","resolution":{"observed_at":"2026-08-06T21:45:15.924971Z","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":"2026-08-06T21:45:26.320604Z","title":"Fixed-budget hypothesis best arm identification: On the information loss in experimental design","venue":null,"work_id":"cdd64fab-e642-400f-9aaa-66b5c801643e","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.081997Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:7bed7fe212af48053cc5165af966654fcfc98f42a6b32cc27f318527101f8858","observation_id":"66866bcf-a2db-4d60-a2c8-e27adc9d9ebb","resolution":{"observed_at":"2026-08-06T21:45:26.385187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:26.165435Z","title":"Active adaptive experimental design for treatment effect estimation with covariate choice","venue":null,"work_id":"ddd8d664-952e-4a51-8c5b-a25df8b0dd2c","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.256316Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:3f295585c5f802c911fe82b322e7162a7316c3af958e13a614b10a43c7e17d8b","observation_id":"8660010e-f4ee-47de-b8d4-341629e8dae0","resolution":{"observed_at":"2026-08-06T21:45:26.234434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03756","last_updated":"2025-06-19T14:27:47Z","snapshot_observed_at":"2026-08-13T04:47:28.917056Z","submitted_at":"2024-01-08T09:29:07Z","title":"Adaptive Experimental Design for Policy Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03756","snapshot_observed_at":"2026-08-06T21:45:16.416104Z","title":"Adaptive experimental design for policy learning, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.416104Z"},"links":{"cited_paper":"/paper/2401.03756","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:cf97deb44ae2b1f43ee0c0824b1750aa65e7dd8a63320eabeac0bec16b6e534a","observation_id":"8599de24-1ba9-4a4d-8b24-c365509669cd","resolution":{"observed_at":"2026-08-06T21:45:16.416104Z","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":"2026-08-06T21:45:26.002559Z","title":"Contributions to the Optimal Solution of Several Bandits Problems","venue":null,"work_id":"415885f5-fe29-4f72-8eee-5b5d142eba40","year":2020},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.568307Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:83ccecc099aa84d043f0bce1448ff99ba741b8c01c9bfd45256a850fea1e8d9a","observation_id":"f3fae4d6-fa4c-432d-a44b-69fbc270fbb6","resolution":{"observed_at":"2026-08-06T21:45:26.077298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:25.852645Z","title":"On the complexity of a/b testing","venue":null,"work_id":"64677935-ab3f-4b68-be7e-7e559b5eed04","year":2014},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.702182Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:39ee50333db9d7984ee0be69bfa51d62b32de3a27149dab29d850160f510bbcc","observation_id":"9d796c05-e4b2-4b28-9f8d-9b60bc824103","resolution":{"observed_at":"2026-08-06T21:45:25.927814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:16.808021Z","title":"On the complexity of best-arm identification in multi-armed bandit models","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.808021Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:1d554d7807d9b86867d5282256d2fb2c3221f6e4aaa669e9b619136408e673b0","observation_id":"cdca97a9-4af1-416c-af04-d3747030a33c","resolution":{"observed_at":"2026-08-06T21:45:16.808021Z","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":"2026-08-06T21:45:16.933216Z","title":"Who should be treated? empirical welfare maximization methods for treatment choice","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:16.933216Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:c651051d900d38b3a50e890f4b720f32771282b677c9adb4d8d43ed37d49f6dc","observation_id":"2c610e65-a677-4fc0-b6a1-5117b2f8d39b","resolution":{"observed_at":"2026-08-06T21:45:16.933216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17780","last_updated":"2024-07-01T12:08:25Z","snapshot_observed_at":"2026-08-14T07:31:10.234925Z","submitted_at":"2024-01-31T12:23:24Z","title":"A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17780","snapshot_observed_at":"2026-08-06T21:45:17.003158Z","title":"A policy gradient primal-dual algorithm for constrained mdps with uniform pac guarantees, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.003158Z"},"links":{"cited_paper":"/paper/2401.17780","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:35a423fb151a05574685e7b9a71b9baa90091aa4fb0cb033d5b5c5b663d27822","observation_id":"edac78f7-799f-44f9-8a4a-049a07480bfb","resolution":{"observed_at":"2026-08-06T21:45:17.003158Z","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":"2026-08-06T21:45:25.681569Z","title":"Minimax optimal algorithms for fixed-budget best arm identification","venue":null,"work_id":"c6e0b281-6593-4536-a4e8-454bc4e4190a","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.082728Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:9134cffbd1f3f7c61fb38e6e04490e322ddef43c7b909fe24cece8c6dba24a60","observation_id":"bb13c37a-62f1-4ed3-ad5c-656b36d2a0b3","resolution":{"observed_at":"2026-08-06T21:45:25.768304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:25.473065Z","title":"Rate-optimal bayesian simple regret in best arm identification","venue":null,"work_id":"3486b801-a811-4f89-b833-43cd3f039dec","year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.158582Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:47aa40c5b2437dc809b1283b2b60f0d0e1a064447a43341af8a18f865d108f2b","observation_id":"f1ad0523-3b2a-4999-8b6d-146913069ce2","resolution":{"observed_at":"2026-08-06T21:45:25.596544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:25.266587Z","title":"Adaptive Treatment Allocation and the Multi-Armed Bandit Problem","venue":null,"work_id":"a577391e-dec7-411c-95ac-a51e4f88b76c","year":1987},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.242591Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:c6fb0fedeaa298428bb1c1cbca59262c52c0ea7b34947026f373e46fbe5d38d9","observation_id":"2230e73e-9901-44d3-b77e-18ef398a203b","resolution":{"observed_at":"2026-08-06T21:45:25.353813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:17.381961Z","title":"Asymptotically efficient adaptive allocation rules","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.381961Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:aed1b1c74393a63a16c1e265fdad8b3370f8e66fab486b8f2a7defab073f3600","observation_id":"195ced1f-8e26-4441-83d6-3c907f9a91e6","resolution":{"observed_at":"2026-08-06T21:45:17.381961Z","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":"2026-08-06T21:45:25.056393Z","title":null,"venue":null,"work_id":"0b49b163-27c6-414c-9541-0a7f8d32a221","year":2000},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.489630Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:40541be9183ca0260ba2f2df6f6a22588225a844a9fd104371e3b359fff7d279","observation_id":"6441b54b-ada5-4d9a-aa18-2b16e98d4848","resolution":{"observed_at":"2026-08-06T21:45:25.165106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:24.883019Z","title":null,"venue":null,"work_id":"c0188290-1096-4623-a1f5-1d8be09a8e8b","year":2002},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.560540Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:f2b1098b9990fa5b1fc18da922d28f574f7c383535d53e69222cd8dc6c740ce2","observation_id":"f03567ab-f22f-4b50-8ba8-1ab1359ed922","resolution":{"observed_at":"2026-08-06T21:45:24.953858Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:24.724394Z","title":null,"venue":null,"work_id":"2d73c7fb-e45d-459e-9600-62238b36a7e7","year":2004},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.623222Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:e9d63ff7fad609e7bc797700aad0610efd6d3d49f2a2e00ecc43c4b141bac2b7","observation_id":"ce580091-8d56-4ddf-95db-227bc4a87bc6","resolution":{"observed_at":"2026-08-06T21:45:24.805828Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:24.586664Z","title":"Open problem: Finite-time instance dependent optimality for stochastic online learning with feedback graphs","venue":null,"work_id":"0bd32698-9fab-4a44-a582-a2a903dac339","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.702377Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:0ed2f4b4187691d33648cb3fa404c314ab949865c2a68c8fa9f3f434434fb7fb","observation_id":"1c1067ce-8a1a-4b9a-a16c-0de25d3dacf5","resolution":{"observed_at":"2026-08-06T21:45:24.650313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:24.349924Z","title":null,"venue":null,"work_id":"2b48105d-dbb4-40d3-941f-2f50bbc81e19","year":2003},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.774813Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:b9abc8180ced58dfd5d83e0ea1b53780ef193066bbaedda5c5ea9533b0c7b581","observation_id":"525d9c2d-3915-4169-bde6-f72e7ad52de2","resolution":{"observed_at":"2026-08-06T21:45:24.473367Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.14341","last_updated":"2024-11-21T17:38:49Z","snapshot_observed_at":"2026-08-13T13:52:24.830785Z","submitted_at":"2024-11-21T17:38:49Z","title":"Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.14341","snapshot_observed_at":"2026-08-06T21:45:17.842153Z","title":"Logarithmic neyman regret for adaptive estimation of the average treatment effect, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.842153Z"},"links":{"cited_paper":"/paper/2411.14341","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:f853b295e1fed5237f854dbf56b9fc6c1247c2b542ae46748946c334531d0cfa","observation_id":"da366501-23cf-4aa2-b5b5-877c411c378d","resolution":{"observed_at":"2026-08-06T21:45:17.842153Z","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":"2026-08-06T21:45:24.155206Z","title":"Prior-dependent allocations for bayesian fixed-budget best-arm identification in structured bandits","venue":null,"work_id":"ee433805-50d6-44dc-bad4-b42be19d9338","year":2025},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:17.922020Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:7546d58ff617da42899fabf4c9f34d5f3d9481ef15013326fb3e7e84598c209b","observation_id":"992af8cc-e3c3-48bf-b6c9-7818f3b7ca26","resolution":{"observed_at":"2026-08-06T21:45:24.228194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17427","last_updated":"2025-02-24T18:57:54Z","snapshot_observed_at":"2026-08-07T17:52:18.729428Z","submitted_at":"2025-02-24T18:57:54Z","title":"Stronger Neyman Regret Guarantees for Adaptive Experimental Design","version":1},"cited_work":{"arxiv_id":"2502.17427","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.17427","snapshot_observed_at":"2026-08-06T21:45:20.323328Z","title":"Stronger Neyman Regret Guarantees for Adaptive Experimental Design","venue":"stat.ME","work_id":"ae8db5c7-a152-4083-aa0d-e110baa9ad24","year":2025},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.033653Z"},"links":{"cited_paper":"/paper/2502.17427","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:52f12cb786b9fed2531eeeb72690a9a12b24cebc2357ad778d75250dd8906ff1","observation_id":"894bf009-f8b7-494c-8a67-eb6e77c93a1d","resolution":{"observed_at":"2026-08-06T21:45:20.442323Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:23.904662Z","title":"Open problem: Optimal best arm identification with fixed-budget","venue":null,"work_id":"68bced3c-fb83-4d53-99f3-5c3565b7fe74","year":2022},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.125381Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:a2585892b37753931f40d18f4ffa28aa4a6248b2452672a4db49ab36390b00cc","observation_id":"b4c6c39b-53f3-476d-afef-56de6373e00d","resolution":{"observed_at":"2026-08-06T21:45:24.068718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08340","last_updated":"2023-05-15T04:23:28Z","snapshot_observed_at":"2026-08-13T11:42:52.562258Z","submitted_at":"2023-05-15T04:23:28Z","title":"Efficient Semiparametric Estimation of Average Treatment Effects Under Covariate Adaptive Randomization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08340","snapshot_observed_at":"2026-08-06T21:45:18.295120Z","title":"Efficient semiparametric estimation of average treatment effects under covariate adaptive randomization, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.295120Z"},"links":{"cited_paper":"/paper/2305.08340","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:555be8c9dd2c54fe2fa691395bac319688746b388ff2e4b06b6cec77b4d70472","observation_id":"c36f8ea0-7456-4e05-8722-2dc2db0da9a7","resolution":{"observed_at":"2026-08-06T21:45:18.295120Z","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":"2026-08-06T21:45:23.687495Z","title":"Simple bayesian algorithms for best-arm identification","venue":null,"work_id":"fc9680f4-107f-47f5-9614-502649a015cf","year":2020},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.475123Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:e9bbae25eba3942eb50a4f9570e747348b701cfb929d3067a9d4ef02d418bec1","observation_id":"9ee48163-32e1-4d56-9e06-f34b2042f8e4","resolution":{"observed_at":"2026-08-06T21:45:23.786858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00221","last_updated":"2025-05-20T09:50:20Z","snapshot_observed_at":"2026-08-13T15:21:27.087187Z","submitted_at":"2024-03-30T02:33:39Z","title":"Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data","version":7},"cited_work":{"arxiv_id":"2404.00221","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00221","snapshot_observed_at":"2026-08-06T21:45:20.082288Z","title":"Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data","venue":"stat.ME","work_id":"b4c60837-df2d-4d43-bfaf-d48e9023f580","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.606913Z"},"links":{"cited_paper":"/paper/2404.00221","citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:aa9aa90452632aaaffa40f70e2885cf545315a2308e94044f79a6d1b232b69ba","observation_id":"031a9b9b-bf16-43b7-830f-22e5cc4d3a5e","resolution":{"observed_at":"2026-08-06T21:45:20.182220Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:23.521896Z","title":"Statistical consideration of adaptive methods in clinical development","venue":null,"work_id":"86414c28-59bf-4a49-8679-90f29356a395","year":2005},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.707038Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:88651774bcad3ea2db962773cc132b3e838d92c1905f90918dd5f4f07be40956","observation_id":"14e1250a-356f-4bc2-a743-2dadeb3081ef","resolution":{"observed_at":"2026-08-06T21:45:23.603555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:23.342477Z","title":null,"venue":null,"work_id":"06536742-4f01-474c-9a9c-699e16173f0a","year":1982},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.799358Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:f26b3b0b0dd5b9d1ed4123e5681eb5ab3e0456e62f6d11c6505a2f5c1e65341f","observation_id":"8781025a-3507-4b98-95a0-76730da1643a","resolution":{"observed_at":"2026-08-06T21:45:23.419558Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:23.177796Z","title":"Batch learning from logged bandit feedback through counterfactual risk minimization","venue":null,"work_id":"7ac6a0c7-25f0-461a-b51c-6f7bdeb13d9b","year":2015},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:18.946429Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:abc8a17f4ae0e6e6aa520ab18cf653bf1605913376d248e5bac02aca4a946b9c","observation_id":"34a698a8-9a55-4f04-ae96-9fc62e166eeb","resolution":{"observed_at":"2026-08-06T21:45:23.260384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:22.983105Z","title":"On the likelihood that one unknown probability exceeds another in view of the evidence of two samples","venue":null,"work_id":"75bbe75b-be6b-4457-8000-cd625e21f299","year":1933},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.069280Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:94184e75019f63edb51496f92e3244df58eb881ed34ac7cf211365cef5c5fb2b","observation_id":"af7b625f-006b-40b1-b173-8f3e99256b93","resolution":{"observed_at":"2026-08-06T21:45:23.094523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:22.804453Z","title":"van der Laan","venue":null,"work_id":"eb185d11-4823-431b-8017-4f1d8575e3ab","year":2008},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.215116Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:444baba888b04aa55d7d4517792bde6860991ec5a2bd1a521ccc225ee94bccc9","observation_id":"db18b77a-437c-491e-9871-3156f2741e99","resolution":{"observed_at":"2026-08-06T21:45:22.876136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:19.342970Z","title":"van der Vaart","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.342970Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:94b8449d603254cee8b1c1d7a77c541d357bd4422139f9ae7d16af7c3971875d","observation_id":"cc0814c2-3a37-41d5-9961-aa08c6bc2902","resolution":{"observed_at":"2026-08-06T21:45:19.342970Z","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":"2026-08-06T21:45:22.585572Z","title":"Statistical Decision Functions","venue":null,"work_id":"3667962d-fd5a-46a9-a33d-d52b25c05e69","year":1950},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.489283Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:bd1c889912b1bdb98b6548e735c2d5ef7b5d28ac8a5e7bed508b59b89f4e4486","observation_id":"32148a5d-3c59-49f0-abb5-036fdee8d36c","resolution":{"observed_at":"2026-08-06T21:45:22.718679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:22.327765Z","title":"On uniformly optimal algorithms for best arm identification in two-armed bandits with fixed budget","venue":null,"work_id":"37ce58ae-11cb-4ea0-b0e1-b1a75e9b6146","year":2024},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.587120Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:8068fe21df548e4c899b9223049e531476fcecd409268376a4eb6c8686f290a3","observation_id":"5584d5bf-1099-458f-aba2-12e85867ebc5","resolution":{"observed_at":"2026-08-06T21:45:22.507049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:45:19.739107Z","title":"Offline multi-action policy learning: Generalization and optimization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.739107Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:e6692607b1639c23ee80e5c1d7a56e77d0a9acd031d149cced751fbf46271c32","observation_id":"55510825-fb9a-4e20-ac94-b78f5ce3dfab","resolution":{"observed_at":"2026-08-06T21:45:19.739107Z","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":"2026-08-06T21:45:19.871345Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification","version":6},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:19.871345Z"},"links":{"citing_paper":"/paper/2506.24007"},"observation_digest":"sha256:6ab61ed392436c45ef3e19fc2daf2a52ed3a32912b8bc6d69e8917798270c37c","observation_id":"1c3b2bab-432a-4f25-a3ee-0da0dc5bbbca","resolution":{"observed_at":"2026-08-06T21:45:19.871345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.24007","last_updated":"2026-07-25T03:47:52Z","latest_version":6,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-06T21:23:50.638515Z","submitted_at":"2025-06-30T16:11:44Z","title":"Minimax and Bayes Optimal Best-Arm Identification"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":26,"verified_exact":7,"verified_fuzzy":47},"total_outbound_references":81},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 1 inbound Pith citation observation for arXiv:2506.24007."}