{"as_of":"2026-08-16T17:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:687bf3c7af6b3c29201aa2cc04e2d8a74e5543a9586f0956a938c232795554a5","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":"2026-08-16T06:30:59.297886+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":"2026-08-16T11:32:25.204077Z","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":"2026-05-17T23:25:47.722197Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":"2403.06803","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-independent operator: A training-free artifact representation extractor for generalizable deepfake detection","venue":null,"work_id":"3c005e69-b9db-4604-a867-b47bfd987f67","year":2024},"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":81,"source":"arxiv_source","source_observed_at":"2026-05-17T23:25:47.549655Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2411.15633"},"observation_digest":"sha256:5841f2a3b5283452b35064ce45237978c87a6fe5e7c290dca156ff5e6c60c2c6","observation_id":"5215bccb-a547-4cf5-af73-0e8934cfe3c7","resolution":{"observed_at":"2026-05-17T23:25:47.725327Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-08-16T11:32:25.204077Z","title":"Data-independent operator: A training-free artifact representation extractor for generalizable deepfake detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15470","last_updated":"2025-04-21T22:39:24Z","snapshot_observed_at":"2026-08-16T11:23:45.342962Z","submitted_at":"2025-04-21T22:39:24Z","title":"Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-16T11:32:25.204077Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2504.15470"},"observation_digest":"sha256:372f28a6a4aa312de3fb4c3dbe06d23009280fdaaae05bf6d1a3620240961c7c","observation_id":"42a63f48-7a2a-4807-8458-dc8436e9e865","resolution":{"observed_at":"2026-08-16T11:32:25.204077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-08-07T12:06:39.511273Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00562","last_updated":"2025-05-31T13:39:45Z","snapshot_observed_at":"2026-08-13T05:47:06.564754Z","submitted_at":"2025-05-31T13:39:45Z","title":"SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:39.511273Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2506.00562"},"observation_digest":"sha256:4f0109a3f9dd53b620deff5d4272ef3da561e7aecede7ef3db55d0c3320b81b4","observation_id":"fd25b0cd-105e-46b3-b7f6-5470fc0a7dff","resolution":{"observed_at":"2026-08-07T12:06:39.511273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-08-06T14:34:10.778078Z","title":"Data-independent operator: A training-free artifact representation extractor for generalizable deepfake detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21157","last_updated":"2025-07-24T22:05:52Z","snapshot_observed_at":"2026-08-14T02:53:48.252152Z","submitted_at":"2025-07-24T22:05:52Z","title":"Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T14:34:10.778078Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2507.21157"},"observation_digest":"sha256:0b07452b9f24b4822f46a598ccfe37bd711ea48e82bf9504ed175bf449703f5e","observation_id":"c31dd7fe-a1fe-4a01-ac0b-16df9d6cfcc8","resolution":{"observed_at":"2026-08-06T14:34:10.778078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-08-06T05:38:53.307668Z","title":"Data-independent operator: A training-free artifact representation extractor for generalizable deepfake detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01402","last_updated":"2025-08-02T15:21:26Z","snapshot_observed_at":"2026-08-06T05:38:44.810426Z","submitted_at":"2025-08-02T15:21:26Z","title":"ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T05:38:53.307668Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2508.01402"},"observation_digest":"sha256:7a1615b06981baf1d3aa5ced0f59270aa32f4bc4f9212a6a796891db4b6d2a3e","observation_id":"d3c57934-a847-4ffd-a275-56f95a2059e1","resolution":{"observed_at":"2026-08-06T05:38:53.307668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","version":1},"cited_work":{"arxiv_id":"2403.06803","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06803","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-independent operator: A training-free artifact representation extractor for generalizable deepfake detection","venue":null,"work_id":"3c005e69-b9db-4604-a867-b47bfd987f67","year":2024},"citing_paper":{"arxiv_id":"2604.08847","last_updated":"2026-04-10T01:09:24Z","snapshot_observed_at":"2026-08-11T13:42:53.139558Z","submitted_at":"2026-04-10T01:09:24Z","title":"DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T16:40:23.170752Z"},"links":{"cited_paper":"/paper/2403.06803","citing_paper":"/paper/2604.08847"},"observation_digest":"sha256:a53ec702830add93340b0a78abb641152dd36c6091fd97edcd76f4c8f64e2f03","observation_id":"8bf36799-9247-4476-871c-a24c8bb44c5e","resolution":{"observed_at":"2026-05-11T08:25:58.569352Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.06803/citation-record","integrity":"/paper/2403.06803/integrity","json":"/paper/2403.06803/citation-record.json","paper":"/paper/2403.06803"},"outbound":[],"paper":{"arxiv_id":"2403.06803","last_updated":"2024-03-11T15:22:28Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:10:57.000424Z","submitted_at":"2024-03-11T15:22:28Z","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.06803."}