{"as_of":"2026-08-18T12:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:258ef48aaefba17fd79aa230fbdd830d28a1dd62a282c99cb9824dc520fd55c6","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:15:47.246832Z","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":"2026-07-01T00:15:08.944719Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.12386","last_updated":"2022-09-26T03:00:50Z","snapshot_observed_at":"2026-08-16T16:29:59.395310Z","submitted_at":"2022-09-26T03:00:50Z","title":"TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12386","snapshot_observed_at":"2026-08-04T20:33:31.925540Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09730","last_updated":"2025-09-10T12:07:34Z","snapshot_observed_at":"2026-08-16T02:03:19.488062Z","submitted_at":"2025-09-10T12:07:34Z","title":"MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T20:33:31.925540Z"},"links":{"cited_paper":"/paper/2209.12386","citing_paper":"/paper/2509.09730"},"observation_digest":"sha256:741069afd6cff47b5e3624570bcf90f7bbf35e807ae9ab0ea5c26e1357533254","observation_id":"519e6669-1061-48a9-bf53-c63ca15c0ace","resolution":{"observed_at":"2026-08-04T20:33:31.925540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12386","last_updated":"2022-09-26T03:00:50Z","snapshot_observed_at":"2026-08-16T16:29:59.395310Z","submitted_at":"2022-09-26T03:00:50Z","title":"TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance","version":1},"cited_work":{"arxiv_id":"2209.12386","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12386","snapshot_observed_at":"2026-07-01T00:15:08.944719Z","title":"TAD: A large-scale benchmark for traffic accidents detection from video surveillance","venue":null,"work_id":"54d4367c-a4c5-41d8-9a16-794c070778e3","year":2022},"citing_paper":{"arxiv_id":"2605.01512","last_updated":"2026-05-23T18:49:50Z","snapshot_observed_at":"2026-08-15T04:08:01.777745Z","submitted_at":"2026-05-02T16:05:44Z","title":"Two-Pass Zero-Shot Temporal-Spatial Grounding of Rare Traffic Events in Surveillance Video","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-09T14:10:37.533748Z"},"links":{"cited_paper":"/paper/2209.12386","citing_paper":"/paper/2605.01512"},"observation_digest":"sha256:b215638c280eae3438d0ba55870f5b32b911054ae2c67960e786a1133003c3cd","observation_id":"0e734334-253f-4dd4-a6ba-188bfb343f04","resolution":{"observed_at":"2026-05-11T17:01:09.729507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12386","last_updated":"2022-09-26T03:00:50Z","snapshot_observed_at":"2026-08-16T16:29:59.395310Z","submitted_at":"2022-09-26T03:00:50Z","title":"TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance","version":1},"cited_work":{"arxiv_id":"2209.12386","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12386","snapshot_observed_at":"2026-07-01T00:15:08.944719Z","title":"TAD: A large-scale benchmark for traffic accidents detection from video surveillance","venue":null,"work_id":"54d4367c-a4c5-41d8-9a16-794c070778e3","year":2022},"citing_paper":{"arxiv_id":"2605.01512","last_updated":"2026-05-23T18:49:50Z","snapshot_observed_at":"2026-08-15T04:08:01.777745Z","submitted_at":"2026-05-02T16:05:44Z","title":"Two-Pass Zero-Shot Temporal-Spatial Grounding of Rare Traffic Events in Surveillance Video","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-01T00:15:04.679634Z"},"links":{"cited_paper":"/paper/2209.12386","citing_paper":"/paper/2605.01512"},"observation_digest":"sha256:e53cc8760f92e0dd8a58c994c67b74fbf9b57c83b243eb6c57b0fc64a939b919","observation_id":"89cfbb6f-ad69-4a5f-a3f6-1cde2e6da99c","resolution":{"observed_at":"2026-07-01T00:15:08.946427Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12386","last_updated":"2022-09-26T03:00:50Z","snapshot_observed_at":"2026-08-16T16:29:59.395310Z","submitted_at":"2022-09-26T03:00:50Z","title":"TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12386","snapshot_observed_at":"2026-08-14T04:15:47.246832Z","title":"TAD: A large-scale benchmark for traffic accidents detection from video surveillance.arXiv preprint arXiv:2209.12386, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10317","last_updated":"2026-08-10T23:40:07Z","snapshot_observed_at":"2026-08-17T14:02:51.209394Z","submitted_at":"2026-08-10T23:40:07Z","title":"From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:15:47.246832Z"},"links":{"cited_paper":"/paper/2209.12386","citing_paper":"/paper/2608.10317"},"observation_digest":"sha256:d7ab122e727e8afe46d44a94a3bcc3d3428061aa44b1813f7a38eb603e8ca57d","observation_id":"0d58a557-4257-4d84-ae0e-e17e82258ec9","resolution":{"observed_at":"2026-08-14T04:15:47.246832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2209.12386/citation-record","integrity":"/paper/2209.12386/integrity","json":"/paper/2209.12386/citation-record.json","paper":"/paper/2209.12386"},"outbound":[],"paper":{"arxiv_id":"2209.12386","last_updated":"2022-09-26T03:00:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T16:29:59.395310Z","submitted_at":"2022-09-26T03:00:50Z","title":"TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.12386."}