{"as_of":"2026-08-08T18:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cfa016f1683f85cf8d3666782816fa437705d7d2857da63456e94b194084f96a","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T15:32:51.233188Z","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":"2026-08-06T15:32:53.950494Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.18808","last_updated":"2025-03-24T15:50:19Z","snapshot_observed_at":"2026-08-07T16:40:48.835229Z","submitted_at":"2025-03-24T15:50:19Z","title":"CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos","version":1},"cited_work":{"arxiv_id":"2503.18808","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.18808","snapshot_observed_at":"2026-08-06T15:32:53.950494Z","title":"CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos","venue":"cs.CV","work_id":"d1415c64-5986-47b0-8a22-cecb973d334a","year":2025},"citing_paper":{"arxiv_id":"2507.15905","last_updated":"2025-07-21T12:01:04Z","snapshot_observed_at":"2026-08-07T11:53:06.989673Z","submitted_at":"2025-07-21T12:01:04Z","title":"Foundation Models and Transformers for Anomaly Detection: A Survey","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:32:51.233188Z"},"links":{"cited_paper":"/paper/2503.18808","citing_paper":"/paper/2507.15905"},"observation_digest":"sha256:128094b2baa1276214b8f40921e33dbf6c9237b0511bbf81aff75a88e0f69383","observation_id":"2132df8e-393a-46bc-99a3-410125c6014d","resolution":{"observed_at":"2026-08-06T15:32:53.953249Z","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/2503.18808/citation-record","integrity":"/paper/2503.18808/integrity","json":"/paper/2503.18808/citation-record.json","paper":"/paper/2503.18808"},"outbound":[],"paper":{"arxiv_id":"2503.18808","last_updated":"2025-03-24T15:50:19Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:40:48.835229Z","submitted_at":"2025-03-24T15:50:19Z","title":"CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos"},"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 1 inbound Pith citation observation for arXiv:2503.18808."}