{"as_of":"2026-08-09T15:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe8a7c11ae3b197202ce33a131dce1b0f807d02eedaa4a1a4cbf2f4330363814","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T12:15:53.679847Z","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":"2026-08-07T00:41:52.682990Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.10299","last_updated":"2024-07-20T07:56:47Z","snapshot_observed_at":"2026-07-06T18:46:09.997234Z","submitted_at":"2024-07-14T19:23:12Z","title":"Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10299","snapshot_observed_at":"2026-08-08T12:15:53.679847Z","title":"Follow the rules: reasoning for video anomaly detection with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07601","last_updated":"2025-03-17T07:11:04Z","snapshot_observed_at":"2026-08-08T12:08:25.181707Z","submitted_at":"2025-02-11T14:50:43Z","title":"Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-08T12:15:53.679847Z"},"links":{"cited_paper":"/paper/2407.10299","citing_paper":"/paper/2502.07601"},"observation_digest":"sha256:2e0bf01cc32f6ce243c7d0cd352eef774d4053772d0dd40181f41fda59decc99","observation_id":"4732ee9f-da8c-47d1-aef7-aea0f1e8ada4","resolution":{"observed_at":"2026-08-08T12:15:53.679847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10299","last_updated":"2024-07-20T07:56:47Z","snapshot_observed_at":"2026-07-06T18:46:09.997234Z","submitted_at":"2024-07-14T19:23:12Z","title":"Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models","version":2},"cited_work":{"arxiv_id":"2407.10299","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.10299","snapshot_observed_at":"2026-08-07T00:41:52.682990Z","title":"Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models","venue":"cs.CV","work_id":"69bee691-7729-46ce-b57c-c5a038bd46f9","year":2024},"citing_paper":{"arxiv_id":"2506.12992","last_updated":"2025-06-15T23:20:08Z","snapshot_observed_at":"2026-08-07T00:35:03.776740Z","submitted_at":"2025-06-15T23:20:08Z","title":"SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T00:41:51.522641Z"},"links":{"cited_paper":"/paper/2407.10299","citing_paper":"/paper/2506.12992"},"observation_digest":"sha256:1d75cf628a582d184dfe4a5789f53035e7dd6ed52660558fe63ef203902a7d03","observation_id":"997e33c2-519b-4291-8c22-d4aade57a666","resolution":{"observed_at":"2026-08-07T00:41:52.775995Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.10299/citation-record","integrity":"/paper/2407.10299/integrity","json":"/paper/2407.10299/citation-record.json","paper":"/paper/2407.10299"},"outbound":[],"paper":{"arxiv_id":"2407.10299","last_updated":"2024-07-20T07:56:47Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:46:09.997234Z","submitted_at":"2024-07-14T19:23:12Z","title":"Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.10299."}