{"as_of":"2026-08-08T13:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63547b3f50e254a01444669d3d81175368ce5b5c306cb84a3caa6cc1061a4655","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T15:43:43.997788Z","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":"2026-08-05T17:36:58.386050Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.04716","last_updated":"2019-05-12T13:03:23Z","snapshot_observed_at":"2026-07-06T07:52:27.421278Z","submitted_at":"2019-05-12T13:03:23Z","title":"Diagnosing Reinforcement Learning for Traffic Signal Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.04716","snapshot_observed_at":"2026-08-06T15:43:43.997788Z","title":"Diagnosing reinforcement learning for traffic signal control","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2507.15174","last_updated":"2025-07-21T01:33:59Z","snapshot_observed_at":"2026-08-06T15:36:33.668854Z","submitted_at":"2025-07-21T01:33:59Z","title":"Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control","version":1},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-08-06T15:43:43.997788Z"},"links":{"cited_paper":"/paper/1905.04716","citing_paper":"/paper/2507.15174"},"observation_digest":"sha256:1efc9129c6b055edf6597e608c4b5b9d708dad42eaf61ec23e4b2af824963367","observation_id":"80fb181e-66a0-43b1-bf8c-f4fd0c3844b9","resolution":{"observed_at":"2026-08-06T15:43:43.997788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.04716","last_updated":"2019-05-12T13:03:23Z","snapshot_observed_at":"2026-07-06T07:52:27.421278Z","submitted_at":"2019-05-12T13:03:23Z","title":"Diagnosing Reinforcement Learning for Traffic Signal Control","version":1},"cited_work":{"arxiv_id":"1905.04716","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.04716","snapshot_observed_at":"2026-08-05T17:36:58.386050Z","title":"Diagnosing Reinforcement Learning for Traffic Signal Control","venue":"cs.LG","work_id":"85873f15-a789-41c9-9fbc-f0b52ed1fbfb","year":2019},"citing_paper":{"arxiv_id":"2508.16090","last_updated":"2025-08-22T05:02:50Z","snapshot_observed_at":"2026-08-07T14:17:56.595400Z","submitted_at":"2025-08-22T05:02:50Z","title":"GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:36:54.160658Z"},"links":{"cited_paper":"/paper/1905.04716","citing_paper":"/paper/2508.16090"},"observation_digest":"sha256:8ca0fd3964888264a8a178dd9cf9859413445601e08f61e573aa4363913d644a","observation_id":"ab9e89f0-39e3-4928-92d6-b20a77048314","resolution":{"observed_at":"2026-08-05T17:36:58.456296Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1905.04716/citation-record","integrity":"/paper/1905.04716/integrity","json":"/paper/1905.04716/citation-record.json","paper":"/paper/1905.04716"},"outbound":[],"paper":{"arxiv_id":"1905.04716","last_updated":"2019-05-12T13:03:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:52:27.421278Z","submitted_at":"2019-05-12T13:03:23Z","title":"Diagnosing Reinforcement Learning for Traffic Signal 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":"2026-08-08T06:32:00.761636+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 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.04716."}