{"as_of":"2026-08-10T23:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d189bd634abd5d84ef36b64158516b03d83bc89673fc1cfc77469a5f7b4a1a9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:24:30.557757Z","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":"2026-07-02T12:06:55.879807Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-08-07T13:24:30.557757Z","title":"Sharp analysis for kl-regularized contextual bandits and rlhf.arXiv preprint arXiv:2411.04625, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21907","last_updated":"2025-05-31T04:48:02Z","snapshot_observed_at":"2026-08-09T21:30:35.237559Z","submitted_at":"2025-05-28T02:52:39Z","title":"Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy","version":2},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:30.557757Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2505.21907"},"observation_digest":"sha256:41d888cb21d18d132a57ff1b317db34428ee942b82855b10754fc4e57f8bc17a","observation_id":"a5c9c86d-4bf6-4af7-9c22-e8a3cc37626d","resolution":{"observed_at":"2026-08-07T13:24:30.557757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-08-06T19:28:59.510021Z","title":"Sharp analysis for kl-regularized contextual bandits and rlhf","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05913","last_updated":"2025-07-08T11:59:48Z","snapshot_observed_at":"2026-08-09T02:51:17.508221Z","submitted_at":"2025-07-08T11:59:48Z","title":"Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T19:28:59.510021Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2507.05913"},"observation_digest":"sha256:670d192d59488072d1b2e9f60d3d609144afa642c24aeb0041e95f8c642c47f4","observation_id":"c246fe7b-c98b-49c4-ab0f-333531e32621","resolution":{"observed_at":"2026-08-06T19:28:59.510021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":"2411.04625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-07-02T12:06:55.879807Z","title":"Sharp analysis for kl-regularized contextual bandits and rlhf.arXiv preprint arXiv:2411.04625","venue":null,"work_id":"053747eb-56fe-42cb-8bc6-750a65ba8948","year":2024},"citing_paper":{"arxiv_id":"2605.06977","last_updated":"2026-05-07T21:48:26Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T21:48:26Z","title":"$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T01:13:29.292351Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2605.06977"},"observation_digest":"sha256:08d0111df2130ef6ec497cb122eed9faa48777ea5dafb6c8d4d1905640be8289","observation_id":"e5c294c0-4fdc-43c3-b1bc-f90b10593d33","resolution":{"observed_at":"2026-05-11T04:35:58.743351Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":"2411.04625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-07-02T12:06:55.879807Z","title":"Sharp analysis for kl-regularized contextual bandits and rlhf.arXiv preprint arXiv:2411.04625","venue":null,"work_id":"053747eb-56fe-42cb-8bc6-750a65ba8948","year":2024},"citing_paper":{"arxiv_id":"2606.06053","last_updated":"2026-07-12T09:46:20Z","snapshot_observed_at":"2026-08-05T13:47:01.053562Z","submitted_at":"2026-06-04T11:54:23Z","title":"Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T02:31:11.200818Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2606.06053"},"observation_digest":"sha256:44b913447b8e5eba0fe290012822e42542e5bd38d74cfa143ad66fe482d5ad97","observation_id":"df772fe2-d199-4d0a-a663-157a83450cb4","resolution":{"observed_at":"2026-07-02T12:06:55.881073Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-07-14T18:23:21.126826Z","title":"Heyang Zhao, Chenlu Ye, Quanquan Gu, and Tong Zhang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.06053","last_updated":"2026-07-12T09:46:20Z","snapshot_observed_at":"2026-08-05T13:47:01.053562Z","submitted_at":"2026-06-04T11:54:23Z","title":"Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T18:23:21.126826Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2606.06053"},"observation_digest":"sha256:65026f7979aa5ef760a92ea6a871acefac5d916cc11ff585ae2c7df8052d46ef","observation_id":"5c771a33-d4db-4b2d-a6e8-86f3d462dbcb","resolution":{"observed_at":"2026-07-14T18:23:21.126826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-07-14T18:23:21.126826Z","title":"org/abs/2411.04625","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.06053","last_updated":"2026-07-12T09:46:20Z","snapshot_observed_at":"2026-08-05T13:47:01.053562Z","submitted_at":"2026-06-04T11:54:23Z","title":"Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T18:23:21.126826Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2606.06053"},"observation_digest":"sha256:05835db7984979b237c666fbea4364615c7f905bc98b85070b9171fa0641ac81","observation_id":"26fdd42b-e885-4dd0-a223-ff9cfa071e81","resolution":{"observed_at":"2026-07-14T18:23:21.126826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF","version":2},"cited_work":{"arxiv_id":"2411.04625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.04625","snapshot_observed_at":"2026-07-02T12:06:55.879807Z","title":"Sharp analysis for kl-regularized contextual bandits and rlhf.arXiv preprint arXiv:2411.04625","venue":null,"work_id":"053747eb-56fe-42cb-8bc6-750a65ba8948","year":2024},"citing_paper":{"arxiv_id":"2606.27917","last_updated":"2026-06-26T10:07:10Z","snapshot_observed_at":"2026-08-05T08:26:11.435691Z","submitted_at":"2026-06-26T10:07:10Z","title":"Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-29T04:24:32.483334Z"},"links":{"cited_paper":"/paper/2411.04625","citing_paper":"/paper/2606.27917"},"observation_digest":"sha256:9b6b1a1fc40fd11e5cba71f187c0783d210d2af85d51ba4f18f15649936a63bd","observation_id":"5a1d4ea9-bd30-4d74-a74e-896919596d63","resolution":{"observed_at":"2026-07-01T16:55:51.230113Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.04625/citation-record","integrity":"/paper/2411.04625/integrity","json":"/paper/2411.04625/citation-record.json","paper":"/paper/2411.04625"},"outbound":[],"paper":{"arxiv_id":"2411.04625","last_updated":"2025-02-11T10:58:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:46:41.798193Z","submitted_at":"2024-11-07T11:22:46Z","title":"Sharp Analysis for KL-Regularized Contextual Bandits and RLHF"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.04625."}