{"as_of":"2026-08-13T01:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:727610315c345d098cc8fc17a00e0777f3cfc4563e2676f0cf8243104c587135","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:17:47.064539Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T04:26:39.493513Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.02216","last_updated":"2022-03-29T13:55:10Z","snapshot_observed_at":"2026-08-05T13:53:42.513196Z","submitted_at":"2021-10-06T13:50:06Z","title":"Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.02216","snapshot_observed_at":"2026-08-12T13:17:47.064539Z","title":"Sekimoto, arXiv preprint arXiv:2110.02216 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16362","last_updated":"2024-12-04T16:30:46Z","snapshot_observed_at":"2026-08-12T13:09:58.768477Z","submitted_at":"2024-11-25T13:15:31Z","title":"Optimal switching strategies in multi-drug therapies for chronic diseases","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T13:17:47.064539Z"},"links":{"cited_paper":"/paper/2110.02216","citing_paper":"/paper/2411.16362"},"observation_digest":"sha256:7b6da05eb50a2bd83fb4b83db12c28430fa16e982dd42fc0f7bca3efc479afe0","observation_id":"b28fd38d-6abb-4acc-b966-5eda9e21bc96","resolution":{"observed_at":"2026-08-12T13:17:47.064539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02216","last_updated":"2022-03-29T13:55:10Z","snapshot_observed_at":"2026-08-05T13:53:42.513196Z","submitted_at":"2021-10-06T13:50:06Z","title":"Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.02216","snapshot_observed_at":"2026-08-11T21:52:48.549088Z","title":"Sekimoto, arXiv:2110.02216 [cond-mat.stat-mech] (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.04102","last_updated":"2025-04-08T12:34:20Z","snapshot_observed_at":"2026-08-11T21:42:48.935054Z","submitted_at":"2024-12-05T12:13:11Z","title":"Entropy estimation for partially accessible Markov networks based on imperfect observations: Role of finite resolution and finite statistics","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T21:52:48.549088Z"},"links":{"cited_paper":"/paper/2110.02216","citing_paper":"/paper/2412.04102"},"observation_digest":"sha256:87570148295fb87cf6168467f6c212d47241a4ecff476cf6cd959251772bd62e","observation_id":"1507e3c8-31b2-4f17-9235-0c66833994b6","resolution":{"observed_at":"2026-08-11T21:52:48.549088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02216","last_updated":"2022-03-29T13:55:10Z","snapshot_observed_at":"2026-08-05T13:53:42.513196Z","submitted_at":"2021-10-06T13:50:06Z","title":"Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network","version":3},"cited_work":{"arxiv_id":"2110.02216","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.02216","snapshot_observed_at":"2026-08-07T04:26:39.493513Z","title":"Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network","venue":"cond-mat.stat-mech","work_id":"87677d57-d932-44f5-80bc-96ae55bcb58f","year":2021},"citing_paper":{"arxiv_id":"2608.06368","last_updated":"2026-08-12T03:10:47Z","snapshot_observed_at":"2026-08-13T00:56:42.099212Z","submitted_at":"2026-08-06T17:58:06Z","title":"A Universal Control Budget for First-Passage Kinetics","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:39.396279Z"},"links":{"cited_paper":"/paper/2110.02216","citing_paper":"/paper/2608.06368"},"observation_digest":"sha256:6d525d86d29b998def3fcce261822896fcfca0cae9343b5afd73c15d5fd3fae7","observation_id":"81e93d12-e59c-4ff2-b591-40de811bc822","resolution":{"observed_at":"2026-08-07T04:26:39.497201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.02216/citation-record","integrity":"/paper/2110.02216/integrity","json":"/paper/2110.02216/citation-record.json","paper":"/paper/2110.02216"},"outbound":[],"paper":{"arxiv_id":"2110.02216","last_updated":"2022-03-29T13:55:10Z","latest_version":3,"primary_category":"cond-mat.stat-mech","snapshot_observed_at":"2026-08-05T13:53:42.513196Z","submitted_at":"2021-10-06T13:50:06Z","title":"Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.02216."}