{"as_of":"2026-08-08T10:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94e4d9ef90c55ac2e8623f68f748a12625001b0ebc5dd05e73b2cab91a3ce1a8","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T14:32:30.399121Z","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":"2026-05-10T11:25:19.583626Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.13856","last_updated":"2024-05-24T14:12:59Z","snapshot_observed_at":"2026-07-06T17:20:11.913242Z","submitted_at":"2024-01-24T23:42:08Z","title":"LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13856","snapshot_observed_at":"2026-08-07T14:32:30.399121Z","title":"LAA-Net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18587","last_updated":"2025-05-24T08:28:55Z","snapshot_observed_at":"2026-08-07T14:27:04.199807Z","submitted_at":"2025-05-24T08:28:55Z","title":"HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:30.399121Z"},"links":{"cited_paper":"/paper/2401.13856","citing_paper":"/paper/2505.18587"},"observation_digest":"sha256:2599802e1850b6a2b3e63e8c0e11c4eac517568ea4f159945845b1493b4602f1","observation_id":"dfb57d00-41ee-4a91-81f2-2aa4cd92aa57","resolution":{"observed_at":"2026-08-07T14:32:30.399121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13856","last_updated":"2024-05-24T14:12:59Z","snapshot_observed_at":"2026-07-06T17:20:11.913242Z","submitted_at":"2024-01-24T23:42:08Z","title":"LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection","version":2},"cited_work":{"arxiv_id":"2401.13856","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.13856","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"015a182a-14b8-49ec-a178-bd687bd3a3e5","year":2024},"citing_paper":{"arxiv_id":"2604.14570","last_updated":"2026-04-16T03:02:04Z","snapshot_observed_at":"2026-07-06T23:02:18.425249Z","submitted_at":"2026-04-16T03:02:04Z","title":"Deepfake Detection Generalization with Diffusion Noise","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T11:22:31.988852Z"},"links":{"cited_paper":"/paper/2401.13856","citing_paper":"/paper/2604.14570"},"observation_digest":"sha256:fd94ee1ee9545847fa50e842c289b9458ed6f57a9ac1ab8f1ecc41022697b4ca","observation_id":"d84c1da7-f0c0-443f-936c-73c406e38bcd","resolution":{"observed_at":"2026-05-10T11:25:19.586423Z","resolver_source":"arxiv_id","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/2401.13856/citation-record","integrity":"/paper/2401.13856/integrity","json":"/paper/2401.13856/citation-record.json","paper":"/paper/2401.13856"},"outbound":[],"paper":{"arxiv_id":"2401.13856","last_updated":"2024-05-24T14:12:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:20:11.913242Z","submitted_at":"2024-01-24T23:42:08Z","title":"LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake 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":"2026-08-08T06:32:00.761636+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 2 inbound Pith citation observations for arXiv:2401.13856."}