{"as_of":"2026-08-08T04:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8fdd3dd577734d032e0d1031e6d37a3490d1e0db210a42ff694086584b7cf32e","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:03:38.172124Z","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":"2026-05-17T23:25:47.802924Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":"1909.06122","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.06122 , year=","venue":null,"work_id":"d2269dc7-c5f7-4bf2-9805-1086c3f0c0b5","year":1909},"citing_paper":{"arxiv_id":"2411.15633","last_updated":"2025-05-20T12:06:56Z","snapshot_observed_at":"2026-08-06T14:53:33.853203Z","submitted_at":"2024-11-23T19:10:32Z","title":"Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection","version":4},"reference_index":287,"source":"arxiv_source","source_observed_at":"2026-05-17T23:25:47.549655Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2411.15633"},"observation_digest":"sha256:940ee96b4939ab2381912b8604c41f1608a8759ae3122ad8c3b883e81398fda7","observation_id":"24a4100a-fe18-4979-8d02-901147b92e16","resolution":{"observed_at":"2026-05-17T23:25:47.805660Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-08-07T12:03:38.172124Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.00868","last_updated":"2025-06-16T12:09:09Z","snapshot_observed_at":"2026-08-07T20:37:23.293010Z","submitted_at":"2025-06-01T07:17:16Z","title":"Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:03:38.172124Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2506.00868"},"observation_digest":"sha256:66b76df32da0dfff828560e8434a203f28676a92f659179cff526c03c54962e3","observation_id":"134fd557-1add-4a32-9fbd-9f9e336e793f","resolution":{"observed_at":"2026-08-07T12:03:38.172124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-08-07T11:20:51.424982Z","title":"Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2506.02857","last_updated":"2025-06-03T13:24:33Z","snapshot_observed_at":"2026-08-08T00:30:19.834242Z","submitted_at":"2025-06-03T13:24:33Z","title":"Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:20:51.424982Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2506.02857"},"observation_digest":"sha256:8483f02093f66805fdfc8a0977c54c7f48c52060067998f5eab7083a1b630fb3","observation_id":"5a6e1542-8ae5-4784-abb0-03f581c5cedb","resolution":{"observed_at":"2026-08-07T11:20:51.424982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-08-07T11:16:48.254679Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.03007","last_updated":"2025-06-03T15:45:41Z","snapshot_observed_at":"2026-08-07T20:35:00.476895Z","submitted_at":"2025-06-03T15:45:41Z","title":"DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:48.254679Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2506.03007"},"observation_digest":"sha256:e900a235260da4961ef8b8a0e7f5a472e58bb4d8af5b86a47a859a558e5a4238","observation_id":"e5f1fe6f-0725-4b21-a069-f5223c731576","resolution":{"observed_at":"2026-08-07T11:16:48.254679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":"1909.06122","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.06122 , year=","venue":null,"work_id":"d2269dc7-c5f7-4bf2-9805-1086c3f0c0b5","year":1909},"citing_paper":{"arxiv_id":"2604.04086","last_updated":"2026-04-05T12:08:48Z","snapshot_observed_at":"2026-07-06T22:53:06.517678Z","submitted_at":"2026-04-05T12:08:48Z","title":"LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T17:22:28.944874Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2604.04086"},"observation_digest":"sha256:430a6c43877bb16c7369e7331d8a1e575bb7a1b9b68cc25e5df7adff4641b009","observation_id":"36837b87-2541-4277-a2d8-1bfd2dda8126","resolution":{"observed_at":"2026-05-13T17:23:02.190008Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces","version":3},"cited_work":{"arxiv_id":"1909.06122","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.06122","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.06122 , year=","venue":null,"work_id":"d2269dc7-c5f7-4bf2-9805-1086c3f0c0b5","year":1909},"citing_paper":{"arxiv_id":"2604.27590","last_updated":"2026-04-30T08:41:41Z","snapshot_observed_at":"2026-07-06T23:13:02.921765Z","submitted_at":"2026-04-30T08:41:41Z","title":"Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-07T09:12:32.877743Z"},"links":{"cited_paper":"/paper/1909.06122","citing_paper":"/paper/2604.27590"},"observation_digest":"sha256:0c136df771937b3999af4a3bf5b98923b4709f3191dd8f9ae5b57e7c7ca419c2","observation_id":"b1ccee3b-ff58-482e-bc62-32af737c5e92","resolution":{"observed_at":"2026-05-12T09:46:27.799679Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.06122/citation-record","integrity":"/paper/1909.06122/integrity","json":"/paper/1909.06122/citation-record.json","paper":"/paper/1909.06122"},"outbound":[],"paper":{"arxiv_id":"1909.06122","last_updated":"2020-07-16T06:44:53Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-08T00:30:05.455892Z","submitted_at":"2019-09-13T10:08:44Z","title":"FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.06122."}