{"as_of":"2026-08-13T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3076f6bfb4f283d0c76fccd5c374c3431cab61bed50917702de5480189002e8","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T15:01:01.459673Z","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":"2026-08-06T15:16:25.388931Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.09739","last_updated":"2024-11-28T18:15:41Z","snapshot_observed_at":"2026-08-12T23:43:00.775361Z","submitted_at":"2024-06-14T06:00:14Z","title":"Decoupling Forgery Semantics for Generalizable Deepfake Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09739","snapshot_observed_at":"2026-08-12T15:01:01.459673Z","title":"Decoupling forgery semantics for generalizable deepfake detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.459673Z"},"links":{"cited_paper":"/paper/2406.09739","citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:7e29fc67d52c0ad9767eb57e33e9fc6dade48c92c2b7f5e0d2342247f85635e8","observation_id":"4ab7baf9-d227-44d9-ab1f-583e27048a54","resolution":{"observed_at":"2026-08-12T15:01:01.459673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09739","last_updated":"2024-11-28T18:15:41Z","snapshot_observed_at":"2026-08-12T23:43:00.775361Z","submitted_at":"2024-06-14T06:00:14Z","title":"Decoupling Forgery Semantics for Generalizable Deepfake Detection","version":3},"cited_work":{"arxiv_id":"2406.09739","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09739","snapshot_observed_at":"2026-08-06T15:16:25.388931Z","title":"Decoupling Forgery Semantics for Generalizable Deepfake Detection","venue":"cs.CV","work_id":"2f372b19-5794-41f4-bf7b-d592c7043c26","year":2024},"citing_paper":{"arxiv_id":"2507.16397","last_updated":"2025-07-22T09:48:23Z","snapshot_observed_at":"2026-08-11T21:29:57.144757Z","submitted_at":"2025-07-22T09:48:23Z","title":"ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:24.441902Z"},"links":{"cited_paper":"/paper/2406.09739","citing_paper":"/paper/2507.16397"},"observation_digest":"sha256:bd585cb5c17db2f0ea52b5310a89e489a0ad58a39990216724ad043f139aa002","observation_id":"02b2dc07-bc0f-4af0-9188-f554a83e369b","resolution":{"observed_at":"2026-08-06T15:16:25.395571Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.09739/citation-record","integrity":"/paper/2406.09739/integrity","json":"/paper/2406.09739/citation-record.json","paper":"/paper/2406.09739"},"outbound":[],"paper":{"arxiv_id":"2406.09739","last_updated":"2024-11-28T18:15:41Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:43:00.775361Z","submitted_at":"2024-06-14T06:00:14Z","title":"Decoupling Forgery Semantics for 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09739."}