{"as_of":"2026-08-17T07:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6fa9c5b87e925b60301a7676f756b75acdb89e1ec6e5e691e7dba0efbff7cda2","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T17:06:12.694997Z","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":"2026-08-15T17:06:12.901662Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.17381","last_updated":"2024-04-26T12:56:16Z","snapshot_observed_at":"2026-08-16T13:57:33.650758Z","submitted_at":"2024-04-26T12:56:16Z","title":"Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows","version":1},"cited_work":{"arxiv_id":"2404.17381","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.17381","snapshot_observed_at":"2026-08-15T17:06:12.901662Z","title":"Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows","venue":"cs.CV","work_id":"976d3d70-6d68-48d0-901a-55da1c4a0145","year":2024},"citing_paper":{"arxiv_id":"2508.17726","last_updated":"2025-08-25T07:07:35Z","snapshot_observed_at":"2026-08-15T16:58:39.481276Z","submitted_at":"2025-08-25T07:07:35Z","title":"Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T17:06:12.694997Z"},"links":{"cited_paper":"/paper/2404.17381","citing_paper":"/paper/2508.17726"},"observation_digest":"sha256:df66c7c5c0362582fa0072314d66abce9e803ed34b2057b2e2085f356dd4d12e","observation_id":"d032ece4-9cc4-46e7-80ca-0bf16ab103bd","resolution":{"observed_at":"2026-08-15T17:06:12.907432Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.17381/citation-record","integrity":"/paper/2404.17381/integrity","json":"/paper/2404.17381/citation-record.json","paper":"/paper/2404.17381"},"outbound":[],"paper":{"arxiv_id":"2404.17381","last_updated":"2024-04-26T12:56:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T13:57:33.650758Z","submitted_at":"2024-04-26T12:56:16Z","title":"Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.17381."}