{"as_of":"2026-08-13T16:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd5210c05ca03fd9e555021331cd4ae3ed664fbdeb4c6fadee09eeb489cd8f10","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:38:08.775035Z","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":"2026-05-23T07:17:42.115686Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-12T18:38:08.775035Z","title":"Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery anal- ysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.11396","last_updated":"2025-03-28T06:14:46Z","snapshot_observed_at":"2026-08-12T20:58:45.227204Z","submitted_at":"2024-11-18T09:18:36Z","title":"Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T18:38:08.775035Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2411.11396"},"observation_digest":"sha256:1a41fda29e30512d154e6dab2f0c86936675c90716a4d4c1c6b65d602e26f815","observation_id":"3ac99659-582f-498c-83b4-1cb6a1159dc5","resolution":{"observed_at":"2026-08-12T18:38:08.775035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-12T11:45:09.621058Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17911","last_updated":"2025-04-05T18:48:12Z","snapshot_observed_at":"2026-08-13T07:25:18.304831Z","submitted_at":"2024-11-26T22:04:49Z","title":"Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:45:09.621058Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2411.17911"},"observation_digest":"sha256:1b80d3b24a00d9b16b2d0bbdd4cfc2a9619e33a82a9df3507f53c4d6095aee02","observation_id":"f08ce358-37cb-4b9d-a4ac-1536d2ec558d","resolution":{"observed_at":"2026-08-12T11:45:09.621058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-12T10:08:49.640696Z","title":"DiffusionFace: Towards a Com- prehensive Dataset for Diffusion-Based Face Forgery Analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19537","last_updated":"2026-07-31T16:21:46Z","snapshot_observed_at":"2026-08-12T11:06:17.198242Z","submitted_at":"2024-11-29T08:29:25Z","title":"Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook","version":4},"reference_index":295,"source":"pdf_text","source_observed_at":"2026-08-12T10:08:49.640696Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2411.19537"},"observation_digest":"sha256:af1b77e3ebf3dcb0c2a84242ba7ed5dd98c2b3fd19b92462485d242f0ddcf55b","observation_id":"9208baaf-8ce6-4662-88e0-62dbc2bd1bec","resolution":{"observed_at":"2026-08-12T10:08:49.640696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2412.19685","last_updated":"2026-04-20T14:24:19Z","snapshot_observed_at":"2026-07-06T20:13:45.123960Z","submitted_at":"2024-12-27T15:23:39Z","title":"Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T06:33:15.752811Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2412.19685"},"observation_digest":"sha256:993af705bfbf7935df21a258a4208410667b654b44f7870fda5bd8f3fd78f275","observation_id":"6a4bff06-55d1-4c2b-ac71-5426857830c5","resolution":{"observed_at":"2026-05-23T06:35:28.342030Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2412.20704","last_updated":"2026-04-13T03:24:39Z","snapshot_observed_at":"2026-08-13T09:03:30.579995Z","submitted_at":"2024-12-30T04:34:42Z","title":"HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T07:17:06.269807Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2412.20704"},"observation_digest":"sha256:8cad9d85024087d28408878a0751eb0a08087a17131f698283b99ec5b8ab36b6","observation_id":"276806c8-9750-41cc-9368-7ef8817343f4","resolution":{"observed_at":"2026-05-23T07:17:42.119697Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-07T12:06:35.006100Z","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":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:35.006100Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2506.00562"},"observation_digest":"sha256:987663e7189d11b94a55bd6e48cf3de5133df27aace90e4ae9303e5c2eb7c5ba","observation_id":"2ad416cb-5f98-47b0-9860-3b47d6dcd350","resolution":{"observed_at":"2026-08-07T12:06:35.006100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-06T20:32:59.618501Z","title":"Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02664","last_updated":"2025-07-07T08:00:38Z","snapshot_observed_at":"2026-08-09T23:50:06.162470Z","submitted_at":"2025-07-03T14:26:31Z","title":"AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:32:59.618501Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2507.02664"},"observation_digest":"sha256:d460a6064cd26b86e8047fb9c7bffc58cfcd8482c2cb4f1ebba12d835b37bdca","observation_id":"d2f9eae6-8744-4b8d-9f39-89203f394c51","resolution":{"observed_at":"2026-08-06T20:32:59.618501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-06T13:16:19.076767Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20913","last_updated":"2025-07-28T15:09:52Z","snapshot_observed_at":"2026-08-09T11:56:40.145342Z","submitted_at":"2025-07-28T15:09:52Z","title":"HAMLET-FFD: Hierarchical Adaptive Multi-modal Learning Embeddings Transformation for Face Forgery Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:19.076767Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2507.20913"},"observation_digest":"sha256:9942658f6e7ea49006211916038c54000bb656afff0ad138bfb78e68470cb567","observation_id":"3fa6c23b-89b8-418b-8d03-1bab983bb49a","resolution":{"observed_at":"2026-08-06T13:16:19.076767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-06T11:22:53.968386Z","title":"DiffusionFace : Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22824","last_updated":"2025-07-30T16:38:29Z","snapshot_observed_at":"2026-08-09T21:44:44.731559Z","submitted_at":"2025-07-30T16:38:29Z","title":"Bi-Level Optimization for Self-Supervised AI-Generated Face Detection","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T11:22:53.968386Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2507.22824"},"observation_digest":"sha256:01217c4270a0d10f548d16159bdcff3d001ab8d0cfcc17c1bb94d07185a28355","observation_id":"f1bee4e2-5420-4b49-9daa-54d498c24dd8","resolution":{"observed_at":"2026-08-06T11:22:53.968386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-03T20:50:54.932032Z","title":"Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis.arXiv preprint arXiv:2403.18471, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.18436","last_updated":"2026-07-18T16:26:48Z","snapshot_observed_at":"2026-08-11T18:23:11.996354Z","submitted_at":"2025-11-23T13:09:02Z","title":"When Generative Replay Meets Evolving Deepfakes: Dual Confusion-Aware Regularization for Incremental Face Forgery Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T20:50:54.932032Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2511.18436"},"observation_digest":"sha256:50c45da120a728c263a7349c96b9abbc7ff1c9588b7ddf46ea387b9e1da424a6","observation_id":"688137ec-cf8d-4750-bdaa-58de47a7c873","resolution":{"observed_at":"2026-08-03T20:50:54.932032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2603.01993","last_updated":"2026-05-17T10:26:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-03-02T15:45:33Z","title":"Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-21T11:16:30.368440Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2603.01993"},"observation_digest":"sha256:297b5a51bdb814c9b1c7361b2eba7b0bebd5f44e13acc2a0b8c24a015825ea00","observation_id":"1c47ee8f-b48d-4858-ad60-7df5437ff9d0","resolution":{"observed_at":"2026-05-21T11:20:02.475880Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"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":51,"source":"pdf_text","source_observed_at":"2026-05-13T17:22:28.944874Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2604.04086"},"observation_digest":"sha256:ee4dbd8c5f121610a9466b37a370a43511d04fc2e840e3cd6bb1cf2dfbc18286","observation_id":"03cf416a-756c-47c8-81b8-4f348e1b98fd","resolution":{"observed_at":"2026-05-13T17:23:02.232172Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2604.10522","last_updated":"2026-04-12T08:27:17Z","snapshot_observed_at":"2026-08-11T06:53:37.627467Z","submitted_at":"2026-04-12T08:27:17Z","title":"SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T16:11:57.041467Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2604.10522"},"observation_digest":"sha256:b32e56b5f2f05f8fc315041f784c551b94da6d5564b6fafa5eebf6f4ec5ec5d5","observation_id":"257705d1-8a9b-47ea-a08a-9873e5f73907","resolution":{"observed_at":"2026-05-11T09:11:00.523990Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"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":5,"source":"pdf_text","source_observed_at":"2026-05-10T11:22:31.988852Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2604.14570"},"observation_digest":"sha256:b951a81c48dfe79981975e666d8592ab6bd801b4a7c45405bc5b1023bcb854b6","observation_id":"fc6efd98-3854-435d-8dde-ef1b28beeb08","resolution":{"observed_at":"2026-05-10T11:25:19.617923Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2604.16207","last_updated":"2026-04-25T13:46:00Z","snapshot_observed_at":"2026-07-06T23:03:34.795570Z","submitted_at":"2026-04-17T16:17:12Z","title":"AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T08:53:13.455361Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2604.16207"},"observation_digest":"sha256:c71d2e1c5e476325540af45aecf65414505137a8e06450a0cf4e9328745cfe6e","observation_id":"64ea54c0-28e8-48e7-b50c-ff39da59baf1","resolution":{"observed_at":"2026-05-10T08:58:12.968166Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":"2403.18471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dif- fusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis","venue":null,"work_id":"46559123-a58a-4de7-9d4a-f7e555aee32d","year":2024},"citing_paper":{"arxiv_id":"2605.12075","last_updated":"2026-05-12T13:02:13Z","snapshot_observed_at":"2026-07-06T23:23:48.960874Z","submitted_at":"2026-05-12T13:02:13Z","title":"The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T05:03:32.082954Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2605.12075"},"observation_digest":"sha256:8850b5dfe0abf5d736de3d6c57515d7377aafdbb08486ab159f14807fd5dd681","observation_id":"954ff692-09c6-42ba-ac8e-775fcaa67092","resolution":{"observed_at":"2026-05-13T05:07:17.544342Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18471","snapshot_observed_at":"2026-08-01T19:47:44.327940Z","title":"arXiv preprint arXiv:2403.18471 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16873","last_updated":"2026-07-18T16:25:27Z","snapshot_observed_at":"2026-08-13T08:45:08.654422Z","submitted_at":"2026-07-18T16:25:27Z","title":"InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection","version":1},"reference_index":183,"source":"arxiv_source","source_observed_at":"2026-08-01T19:47:44.327940Z"},"links":{"cited_paper":"/paper/2403.18471","citing_paper":"/paper/2607.16873"},"observation_digest":"sha256:d07450e5c6fc35ebfb8e5a476c71593981ab09bc6fac5a333b4a2dd83bb18859","observation_id":"bb2a78ff-9a40-4a6c-8d48-e9dd30a60ba0","resolution":{"observed_at":"2026-08-01T19:47:44.327940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.18471/citation-record","integrity":"/paper/2403.18471/integrity","json":"/paper/2403.18471/citation-record.json","paper":"/paper/2403.18471"},"outbound":[],"paper":{"arxiv_id":"2403.18471","last_updated":"2024-03-27T11:32:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T00:43:56.621278Z","submitted_at":"2024-03-27T11:32:44Z","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis"},"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 17 inbound Pith citation observations for arXiv:2403.18471."}