{"as_of":"2026-08-23T03:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2281d5ccff654cd721fae225cd4cfa1e5e6e4579ceadd2ba4c8c79f458b60761","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:31:02.699933Z","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":"2026-05-24T08:24:11.155186Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.07807","last_updated":"2022-02-16T23:55:42Z","snapshot_observed_at":"2026-08-22T19:49:31.315980Z","submitted_at":"2021-10-15T02:13:48Z","title":"Provable Regret Bounds for Deep Online Learning and Control","version":3},"cited_work":{"arxiv_id":"2110.07807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.07807","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Provable regret bounds for deep online learning and control.arXiv preprint arXiv:2110.07807","venue":null,"work_id":"18ffb847-eb54-4d17-a43d-707c4c645dde","year":null},"citing_paper":{"arxiv_id":"2305.03784","last_updated":"2026-04-05T02:39:07Z","snapshot_observed_at":"2026-07-06T15:23:56.550794Z","submitted_at":"2023-05-05T18:34:49Z","title":"Neural Exploitation and Exploration of Contextual Bandits","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T08:21:45.655143Z"},"links":{"cited_paper":"/paper/2110.07807","citing_paper":"/paper/2305.03784"},"observation_digest":"sha256:1282754e67168f2bf363e21af1903e7c40821d91710ad113c4b98108e628396a","observation_id":"21c29abe-5811-40ee-bf36-a212c43406af","resolution":{"observed_at":"2026-05-24T08:24:11.158327Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.07807","last_updated":"2022-02-16T23:55:42Z","snapshot_observed_at":"2026-08-22T19:49:31.315980Z","submitted_at":"2021-10-15T02:13:48Z","title":"Provable Regret Bounds for Deep Online Learning and Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.07807","snapshot_observed_at":"2026-08-11T13:31:02.699933Z","title":"Provable regret bounds for deep online learning and control,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13096","last_updated":"2024-12-17T17:06:33Z","snapshot_observed_at":"2026-08-17T16:17:41.863976Z","submitted_at":"2024-12-17T17:06:33Z","title":"Incremental Online Learning of Randomized Neural Network with Forward Regularization","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T13:31:02.699933Z"},"links":{"cited_paper":"/paper/2110.07807","citing_paper":"/paper/2412.13096"},"observation_digest":"sha256:19ad1f8993012578f75319d17b935c622ecf0841e2503759c4679780778bd0c5","observation_id":"9994bc87-5689-4abd-a7b0-b8e293e2a0c7","resolution":{"observed_at":"2026-08-11T13:31:02.699933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.07807/citation-record","integrity":"/paper/2110.07807/integrity","json":"/paper/2110.07807/citation-record.json","paper":"/paper/2110.07807"},"outbound":[],"paper":{"arxiv_id":"2110.07807","last_updated":"2022-02-16T23:55:42Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-22T19:49:31.315980Z","submitted_at":"2021-10-15T02:13:48Z","title":"Provable Regret Bounds for Deep Online Learning and Control"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.07807."}