{"as_of":"2026-08-17T20:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d153c759e84eca34da74618cb7e4a1ac65ba8e26bbdcbe510bd686b4ac675e39","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":"2026-08-06T11:45:27.567870Z","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":"2026-08-06T11:45:28.933919Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.13522","last_updated":"2021-12-27T05:44:40Z","snapshot_observed_at":"2026-08-17T14:15:33.408492Z","submitted_at":"2021-12-27T05:44:40Z","title":"Dual Contrastive Learning for General Face Forgery Detection","version":1},"cited_work":{"arxiv_id":"2112.13522","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.13522","snapshot_observed_at":"2026-08-06T11:45:28.933919Z","title":"Dual Contrastive Learning for General Face Forgery Detection","venue":"cs.CV","work_id":"ee8b2983-efa9-412a-9119-969089b6b09c","year":2021},"citing_paper":{"arxiv_id":"2507.22469","last_updated":"2025-07-30T08:20:02Z","snapshot_observed_at":"2026-08-10T04:48:35.245329Z","submitted_at":"2025-07-30T08:20:02Z","title":"Visual Language Models as Zero-Shot Deepfake Detectors","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T11:45:27.567870Z"},"links":{"cited_paper":"/paper/2112.13522","citing_paper":"/paper/2507.22469"},"observation_digest":"sha256:6ad43c69c92700940a7021fdf77a677b2ea66dc69c2ad0d011841684c43908c8","observation_id":"51bca2af-f6cf-4721-be78-48c4e8a13c70","resolution":{"observed_at":"2026-08-06T11:45:29.000170Z","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/2112.13522/citation-record","integrity":"/paper/2112.13522/integrity","json":"/paper/2112.13522/citation-record.json","paper":"/paper/2112.13522"},"outbound":[],"paper":{"arxiv_id":"2112.13522","last_updated":"2021-12-27T05:44:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T14:15:33.408492Z","submitted_at":"2021-12-27T05:44:40Z","title":"Dual Contrastive Learning for General Face Forgery Detection"},"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:2112.13522."}