{"as_of":"2026-08-08T20:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e0ad6b19d2a3adc4284faf03370b0adf779d2934cfb637269cae6029ae3f810","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:19:46.492545Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.04296/citation-record","integrity":"/paper/2509.04296/integrity","json":"/paper/2509.04296/citation-record.json","paper":"/paper/2509.04296"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.835366Z","title":"Bandits with unobserved confounders: A causal approach","venue":null,"work_id":"3c920ba6-6ad0-488a-8ed8-adaa2c4f90e6","year":2015},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.415856Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:9e966759f08f3886ca6898171947e6e8ed9234fcdaac5c49a0800e9200901721","observation_id":"fb8e3311-c237-4571-9b00-7a28bc8ca37d","resolution":{"observed_at":"2026-08-05T10:19:46.838431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.825976Z","title":"Abstracting causal models","venue":null,"work_id":"aa4ced68-6bb6-401e-8d28-9404d1271a93","year":2019},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.418913Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:4ebe073201aaa97f8118d4622fdd73a8a0e922133ea6f22d6d2df8f36b0a28fb","observation_id":"2df309df-16c2-48da-9677-b0a2dec64955","resolution":{"observed_at":"2026-08-05T10:19:46.829106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.05100","last_updated":"2022-10-26T19:37:23Z","snapshot_observed_at":"2026-08-08T18:21:10.117895Z","submitted_at":"2022-02-10T15:39:07Z","title":"Adaptively Exploiting d-Separators with Causal Bandits","version":3},"cited_work":{"arxiv_id":"2202.05100","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.05100","snapshot_observed_at":"2026-08-05T10:19:46.649409Z","title":"Adaptively Exploiting d-Separators with Causal Bandits","venue":"stat.ML","work_id":"3089626c-7045-4102-bd55-46d8a865ae67","year":2022},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.421726Z"},"links":{"cited_paper":"/paper/2202.05100","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:ef9fda5a0e0019cc663841b9cbc605dc695ce4cacd8dd81e48ec1fc4c746fc16","observation_id":"0de58c22-67ea-497e-a766-eb16bbff5461","resolution":{"observed_at":"2026-08-05T10:19:46.652914Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1210.4839","last_updated":"2012-10-16T17:32:09Z","snapshot_observed_at":"2026-07-06T02:57:53.433694Z","submitted_at":"2012-10-16T17:32:09Z","title":"Leveraging Side Observations in Stochastic Bandits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1210.4839","snapshot_observed_at":"2026-08-05T10:19:46.424956Z","title":"Leveraging side observations in stochastic bandits","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.424956Z"},"links":{"cited_paper":"/paper/1210.4839","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:8cbbcbb3b6c03dfc86ebf19d0ff372bd75391fab6559fe924b015ec2ab1db96a","observation_id":"189510af-3e2b-4ae6-9ea2-9cd7caabf72b","resolution":{"observed_at":"2026-08-05T10:19:46.424956Z","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":"2026-08-05T10:19:46.428498Z","title":"Leveraging (biased) information: Multi-armed bandits with offline data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.428498Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:d42c35324f484ac3018568fa95ca8acc27ee0a32036d3fdb88d1d0fc140f3486","observation_id":"fb0995cd-6ddd-4a78-b4fb-b2db1e4d2c41","resolution":{"observed_at":"2026-08-05T10:19:46.428498Z","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":"2026-08-05T10:19:46.816906Z","title":"Interventionally consistent surrogates for complex simulation models","venue":null,"work_id":"d4db58f5-07c6-4ef1-9a45-c1185c7667f8","year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.431446Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:619511a542445733d810d7a5bd4515645e3b203397c4535b9b755851cac03407","observation_id":"4643a196-4621-4ea4-b175-8949837fb0b9","resolution":{"observed_at":"2026-08-05T10:19:46.819958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.807695Z","title":"Causal bandits: Learning good interventions via causal inference","venue":null,"work_id":"1cc8d2e0-c5e9-4621-a2ab-90a2ac850db9","year":2016},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.434388Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:4aed3a24f85ef7efde7856e593d45599f118191c710820960ff82c42b67aa89e","observation_id":"30fdee43-c653-4039-ab24-cb9688befea9","resolution":{"observed_at":"2026-08-05T10:19:46.810634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.437067Z","title":"Bandit algorithms","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.437067Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:21cde46a2f57aca9a188751f0eca1ff206b3be25f81b477979ad2277f80ff456","observation_id":"6811a626-90e1-4b94-b4e6-5654a026ef74","resolution":{"observed_at":"2026-08-05T10:19:46.437067Z","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":"2026-08-05T10:19:46.791414Z","title":"Structural causal bandits with non-manipulable variables","venue":null,"work_id":"56281ff2-b6c0-43d8-a51f-c5f5457cf70b","year":2019},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.439741Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:e6fdcf0a3d5cf61f79c801429d4a6d737069f5e62e8f2cbb0bfa1870b76e06d2","observation_id":"a1a7538c-7148-4003-b45e-d9d2039eeae2","resolution":{"observed_at":"2026-08-05T10:19:46.794464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.781769Z","title":"An optimal algorithm for the thresholding bandit problem","venue":null,"work_id":"47d31771-602d-4716-beb5-50b9a2568f9f","year":2016},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.442305Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:afc47002c25a66fa2b8ea59457d74c09e18aba358bb2cbf04b755edf08855f4e","observation_id":"0657755e-e7ed-4d76-b0db-50bb43d9e16e","resolution":{"observed_at":"2026-08-05T10:19:46.785182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.772133Z","title":"Regret analysis of bandit problems with causal background knowledge","venue":null,"work_id":"64020345-cdec-46c3-911d-8bc34f0cc255","year":2020},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.445631Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:5960c56f99442a996356c09d8c5670db274528e72c9f3b93b41543a6d0240f65","observation_id":"d636723b-80c4-491f-98b9-f75e86f16aa7","resolution":{"observed_at":"2026-08-05T10:19:46.775694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.762893Z","title":"From bandits to experts: On the value of side-observations","venue":null,"work_id":"fcb4aa06-fea7-4df1-bd02-3285d3f1fd41","year":2011},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.448394Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:cc499a1759307533f28f354c6d5009ec4254b320b63ea048712d0db004b7445c","observation_id":"53fc9c1d-a1f1-4ac1-b8f5-1c3a9cc62dfe","resolution":{"observed_at":"2026-08-05T10:19:46.766029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.753281Z","title":"Finding all epsilon-good arms in stochastic bandits","venue":null,"work_id":"ac7bb820-5869-4650-8a91-88c95e367945","year":2020},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.451374Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:3464269d04c731b5b107c07b00c14315c8b9fed6d92ccd7333206b43a7e14169","observation_id":"7f67b6e4-b0b1-4c9d-b7e9-683050afe890","resolution":{"observed_at":"2026-08-05T10:19:46.756310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.454404Z","title":"Causality","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.454404Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:43aec3866c770311b5d398f5b5611679f32d83da7b77248b683a35bca4ca5772","observation_id":"5ee8bd6c-a175-4fe1-95ee-8ca53afa5966","resolution":{"observed_at":"2026-08-05T10:19:46.454404Z","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":"2026-08-05T10:19:46.736538Z","title":"Stochastic bandits with groups of similar arms","venue":null,"work_id":"70d409de-d45b-4a60-8e74-0177205ee46f","year":2021},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.457200Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:4b6b88d8a5be0f31a19b7743ac7e59b197c52232283192e5554d1ea7bd229063","observation_id":"afed8f6a-1ca0-4bcb-a31e-ffd2cb3131e0","resolution":{"observed_at":"2026-08-05T10:19:46.740134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.727045Z","title":"Elements of causal inference: F oundations and learning algorithms","venue":null,"work_id":"adf4574a-725f-4e0d-8a30-76ca11c48d53","year":2017},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.460026Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:c64e0be19ffb85e27d5c965ba9088d8ee0b5ea2ecc683ae2e23f6bd1400ce84f","observation_id":"7418e815-f535-46f8-89dc-71d62d784733","resolution":{"observed_at":"2026-08-05T10:19:46.730146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11171","last_updated":"2024-05-18T04:20:14Z","snapshot_observed_at":"2026-08-07T02:47:21.117129Z","submitted_at":"2024-05-18T04:20:14Z","title":"Graph Feedback Bandits with Similar Arms","version":1},"cited_work":{"arxiv_id":"2405.11171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.11171","snapshot_observed_at":"2026-08-05T10:19:46.561997Z","title":"Graph Feedback Bandits with Similar Arms","venue":"cs.LG","work_id":"da2d3949-49a4-433f-81ab-af02ffd94aca","year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.462796Z"},"links":{"cited_paper":"/paper/2405.11171","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:deb842fd802a0f1c7f2d7f3752619b61fbe9a6035be3c3d789d8a3a8fb2e8a79","observation_id":"46ce17be-31e0-4298-b8f5-ccb6243ce76e","resolution":{"observed_at":"2026-08-05T10:19:46.565127Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.717848Z","title":"The category theory of causal models","venue":null,"work_id":"a8d89bac-529f-4586-98b4-0c144db03269","year":2020},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.465689Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:316e53fc61e9966070fb5ea69c06a65ad08203dba23eb3ff003ccc4ca3083957","observation_id":"d2229618-f14d-4d98-992b-d19d3a3eecc6","resolution":{"observed_at":"2026-08-05T10:19:46.720884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.708552Z","title":"Causal consistency of structural equation models","venue":null,"work_id":"dbf60b0a-8aa1-42c0-98b4-f785f16ca105","year":2017},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.468201Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:c1c777130faaddff29f22cecadcb2ff3233784ed86e0ec5f16117686fb1ff6d0","observation_id":"fc374694-a6ed-4efe-861b-c6d45cf86034","resolution":{"observed_at":"2026-08-05T10:19:46.711799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17080","last_updated":"2025-03-14T10:11:04Z","snapshot_observed_at":"2026-07-06T20:11:46.794148Z","submitted_at":"2024-12-22T16:11:25Z","title":"Aligning Graphical and Functional Causal Abstractions","version":4},"cited_work":{"arxiv_id":"2412.17080","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.17080","snapshot_observed_at":"2026-08-05T10:19:46.547765Z","title":"Aligning Graphical and Functional Causal Abstractions","venue":"cs.AI","work_id":"13b720af-0e3f-4e6d-b706-13c4dba5ec6e","year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.471353Z"},"links":{"cited_paper":"/paper/2412.17080","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:03a56997c3ba01acae4052919252b1990b8664d2aca9ffc8f1aea02b2823e066","observation_id":"969a82a6-2f64-49d7-893c-286297fdb9b5","resolution":{"observed_at":"2026-08-05T10:19:46.552516Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08405","last_updated":"2024-10-28T01:20:42Z","snapshot_observed_at":"2026-08-04T11:45:35.159629Z","submitted_at":"2020-02-19T19:36:43Z","title":"Bandits with Mean Bounds","version":5},"cited_work":{"arxiv_id":"2002.08405","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.08405","snapshot_observed_at":"2026-08-05T10:19:46.533409Z","title":"Bandits with Mean Bounds","venue":"cs.LG","work_id":"f8a3274d-2c7a-4b94-9d03-19c6f195de2e","year":2020},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.474649Z"},"links":{"cited_paper":"/paper/2002.08405","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:cff561b08541df4cd74e343e0a5634daaf769df0b048309718521131882ae01f","observation_id":"ee6167e8-c69a-4d9f-9235-f46b08d1e28d","resolution":{"observed_at":"2026-08-05T10:19:46.537845Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.698754Z","title":"Multi-armed bandits with dependent arms","venue":null,"work_id":"7cb15f0c-3c69-4782-8cc3-10909fc426bd","year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.477536Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:8ec5f248f546d6189aaf428a1b39bf3d4a0451d6e3be1cea1c5f2866c4efdfb0","observation_id":"cd7f7b64-6ccf-4275-84a1-4ad8111bed06","resolution":{"observed_at":"2026-08-05T10:19:46.702083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.689450Z","title":"Regional multi-armed bandits","venue":null,"work_id":"2db932a6-1df1-4c39-ab5e-f48ab89fca9d","year":2018},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.480858Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:4e3e02dbc86cf1f381720bcd8a0b697deb56e4272d92738fbb642c71af744250","observation_id":"4fa8e7b1-e7c9-4a8c-9237-9b9964a7980e","resolution":{"observed_at":"2026-08-05T10:19:46.692443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23165","last_updated":"2025-05-29T06:58:49Z","snapshot_observed_at":"2026-08-07T12:49:24.542667Z","submitted_at":"2025-05-29T06:58:49Z","title":"Best Arm Identification with Possibly Biased Offline Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23165","snapshot_observed_at":"2026-08-05T10:19:46.483668Z","title":"Best arm identification with possibly biased offline data","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.483668Z"},"links":{"cited_paper":"/paper/2505.23165","citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:e6abd9b5fa7ac472994a1f541c68095021d38226a549c384b1af8aa400c9040a","observation_id":"da69d996-cef0-4308-92ec-846e58e9f829","resolution":{"observed_at":"2026-08-05T10:19:46.483668Z","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":"2026-08-05T10:19:46.679649Z","title":"Quantifying consistency and information loss for causal abstraction learning","venue":null,"work_id":"6c9aebf1-15b8-4bcb-a4a9-262234fa298c","year":2023},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.487244Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:df9c137192afd94c9ac905da0b0ea544a03ddb6050c7cc8f4540a54f1ed4be4f","observation_id":"34101e11-8b0b-4953-8801-a6b1362811d3","resolution":{"observed_at":"2026-08-05T10:19:46.682891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.669399Z","title":"Causally abstracted multi-armed bandits","venue":null,"work_id":"d127f41a-468f-4e50-bd96-969229c2506c","year":2024},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.489968Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:edfcff134f258d855d4dff03bc54b75dd1cd2b98872d1a294da5d9889780d2af","observation_id":"96e07d24-0e9c-4302-b80a-180784024b63","resolution":{"observed_at":"2026-08-05T10:19:46.672715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:19:46.659312Z","title":"Transfer learning in multi-armed bandit: a causal approach","venue":null,"work_id":"2909ae9c-3083-4eb0-b72f-0460b1b5ec2e","year":2017},"citing_paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T10:19:46.492545Z"},"links":{"citing_paper":"/paper/2509.04296"},"observation_digest":"sha256:559b5e77a9980a44a2d58cb30ff6320defa4904ba342173a1445d55c00b360e8","observation_id":"59176af6-8a9c-4b20-9e69-6e15b7e57fa8","resolution":{"observed_at":"2026-08-05T10:19:46.662692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.04296","last_updated":"2025-09-04T15:11:04Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T18:20:56.737645Z","submitted_at":"2025-09-04T15:11:04Z","title":"Using causal abstractions to accelerate decision-making in complex bandit problems"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":4,"verified_fuzzy":18},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.04296."}