{"as_of":"2026-08-14T23:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b7ab74714910dc91a9c353fb5b4940a081cdc6aa97b95675ef518295c02fe1e6","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"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":"2026-07-12T00:34:10.962930Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2302.03669","last_updated":"2025-05-07T13:57:44Z","snapshot_observed_at":"2026-08-13T12:51:04.504784Z","submitted_at":"2023-02-04T02:49:12Z","title":"Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.03669","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-14T11:25:11.044308Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/2302.03669","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:8dce2e11d8bae0807764cd0c5260f1111efef5bc15c4e0f1e409ff5d622268bc","observation_id":"5a9ac117-ab96-4071-82db-2346b1cc3165","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.03669/citation-record","integrity":"/paper/2302.03669/integrity","json":"/paper/2302.03669/citation-record.json","paper":"/paper/2302.03669"},"outbound":[],"paper":{"arxiv_id":"2302.03669","last_updated":"2025-05-07T13:57:44Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T12:51:04.504784Z","submitted_at":"2023-02-04T02:49:12Z","title":"Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems"},"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":"2026-08-14T06:32:32.682623+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 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2302.03669."}