{"as_of":"2026-08-12T07:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f19145b369f344e682bb23d5eab4c869a74424c91297054efd5a13f8545fd418","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:19:33.894067Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-08-10T11:19:33.894067Z","title":"Faceforensics++: Learning to detect manipulated facial images,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.16704","last_updated":"2025-01-28T04:46:50Z","snapshot_observed_at":"2026-08-10T13:00:40.658094Z","submitted_at":"2025-01-28T04:46:50Z","title":"DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T11:19:33.894067Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2501.16704"},"observation_digest":"sha256:a8c18d28114f655e14c31c6cfdd24382d8cfcad6411adde32dacb0a1c9849137","observation_id":"94b3f932-0e0e-4d50-9564-eb1a4152e6ba","resolution":{"observed_at":"2026-08-10T11:19:33.894067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-08-07T13:08:17.957266Z","title":"Faceforensics++: Learning to detect manipulated facial images, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.22581","last_updated":"2025-05-28T16:54:36Z","snapshot_observed_at":"2026-08-08T07:07:56.863758Z","submitted_at":"2025-05-28T16:54:36Z","title":"Tell me Habibi, is it Real or Fake?","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T13:08:17.957266Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2505.22581"},"observation_digest":"sha256:7fbd258adca1e244257726ff2adcd4a5b89c096551602c02b591795a2a08e713","observation_id":"fd6fdbb7-6d28-4d3b-80e2-95b96fc30918","resolution":{"observed_at":"2026-08-07T13:08:17.957266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":"1901.08971","doi":"10.48550/arxiv.1901.08971","metadata_source":"arxiv_reference","pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"arXiv:1901.08971 [cs]","venue":null,"work_id":"68e70569-bf3c-4152-8975-c8b9118bb75d","year":1901},"citing_paper":{"arxiv_id":"2604.14570","last_updated":"2026-04-16T03:02:04Z","snapshot_observed_at":"2026-08-11T05:51:34.946547Z","submitted_at":"2026-04-16T03:02:04Z","title":"Deepfake Detection Generalization with Diffusion Noise","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T11:22:31.988852Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2604.14570"},"observation_digest":"sha256:6d1036083d473ecbbb972737f7933b52ac979068d4e72677090a5247a64cf395","observation_id":"a08b31e4-8f6f-4585-9a22-95af6b0afd37","resolution":{"observed_at":"2026-05-10T11:25:19.686305Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":"1901.08971","doi":"10.48550/arxiv.1901.08971","metadata_source":"arxiv_reference","pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"arXiv:1901.08971 [cs]","venue":null,"work_id":"68e70569-bf3c-4152-8975-c8b9118bb75d","year":1901},"citing_paper":{"arxiv_id":"2606.07916","last_updated":"2026-06-06T00:43:13Z","snapshot_observed_at":"2026-08-03T00:28:16.894830Z","submitted_at":"2026-06-06T00:43:13Z","title":"The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T20:12:40.026108Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2606.07916"},"observation_digest":"sha256:cf95b13b8be635d2d75f0d1760e1efdadc31e3ca9a9ea6d08fc1d16d46a54eab","observation_id":"fb5ad517-1da1-4abd-822d-d1f7b2dab146","resolution":{"observed_at":"2026-07-02T20:47:22.737613Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":"1901.08971","doi":"10.48550/arxiv.1901.08971","metadata_source":"arxiv_reference","pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"arXiv:1901.08971 [cs]","venue":null,"work_id":"68e70569-bf3c-4152-8975-c8b9118bb75d","year":1901},"citing_paper":{"arxiv_id":"2606.09881","last_updated":"2026-06-03T05:44:29Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-03T05:44:29Z","title":"Toward Calibrated, Fair, and accurate Deepfake Detection","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-06-28T07:05:18.026601Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2606.09881"},"observation_digest":"sha256:ec2054451ad92ca22da593aa5d3371a2eacd5fe394767f3d2abafd78de830ed6","observation_id":"420d5719-f263-4142-a6ae-f8e464dca7d2","resolution":{"observed_at":"2026-06-28T07:11:45.088361Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-07-12T01:35:43.979206Z","title":"Faceforensics++: Learning to detect manipulated facial images, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03562","last_updated":"2026-07-03T18:52:42Z","snapshot_observed_at":"2026-08-07T06:14:13.409347Z","submitted_at":"2026-07-03T18:52:42Z","title":"XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T01:35:43.979206Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2607.03562"},"observation_digest":"sha256:24e6086636df40c03cb75939ce69a7acdf8909def6a5e7db50605c682f63c2c3","observation_id":"93fc3e26-77b0-4418-8ef2-6991673a7a7a","resolution":{"observed_at":"2026-07-12T01:35:43.979206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.08971","snapshot_observed_at":"2026-08-02T05:51:34.618402Z","title":"FaceForensics++: Learning to detect manip- ulated facial images,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.13234","last_updated":"2026-07-14T19:53:09Z","snapshot_observed_at":"2026-08-06T23:05:14.824557Z","submitted_at":"2026-07-14T19:53:09Z","title":"Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T05:51:34.618402Z"},"links":{"cited_paper":"/paper/1901.08971","citing_paper":"/paper/2607.13234"},"observation_digest":"sha256:431c2cb149087afefd6be1e933b0c4b3e97de96d3d314029236e1b21ccc13730","observation_id":"7caa0111-5421-4c21-bebe-95d7fff04c00","resolution":{"observed_at":"2026-08-02T05:51:34.618402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1901.08971/citation-record","integrity":"/paper/1901.08971/integrity","json":"/paper/1901.08971/citation-record.json","paper":"/paper/1901.08971"},"outbound":[],"paper":{"arxiv_id":"1901.08971","last_updated":"2019-08-26T17:59:54Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T08:15:04.257402Z","submitted_at":"2019-01-25T16:38:21Z","title":"FaceForensics++: Learning to Detect Manipulated Facial Images"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1901.08971."}