{"as_of":"2026-08-07T22:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18461743f480ce49884534098406ccb0cba8548d3edb0d7bfca666815c6740bf","coverage":[{"denominator":84,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":84,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:18:30.573376Z","state":"measured"},{"denominator":85,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":85,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T09:16:37.881212Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.03334","snapshot_observed_at":"2026-07-14T09:16:37.881212Z","title":"arXiv preprint arXiv:2507.03334 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10787","last_updated":"2026-07-12T14:25:04Z","snapshot_observed_at":"2026-08-06T13:12:11.216373Z","submitted_at":"2026-07-12T14:25:04Z","title":"Detecting AI-Generated Video: A Vision-Language Dual-View Survey","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-14T09:16:37.881212Z"},"links":{"cited_paper":"/paper/2507.03334","citing_paper":"/paper/2607.10787"},"observation_digest":"sha256:e51c0338816a1be661900e3725cf205cab4d457d80e73e3b27a1deec0bf65e17","observation_id":"33117486-8254-44d9-8456-c8726036573a","resolution":{"observed_at":"2026-07-14T09:16:37.881212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.03334/citation-record","integrity":"/paper/2507.03334/integrity","json":"/paper/2507.03334/citation-record.json","paper":"/paper/2507.03334"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:21.304508Z","title":"https://research.google/blog/contributing-data-to-deepfake-detection-research/, accessed: 2023-09-30","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:21.304508Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:e9e29ffa19bc71dbf9fa2013dde920b40014135aecfc0504f042123e96c13dd1","observation_id":"2d0d16f6-5e36-47ed-bf23-b208662e25a8","resolution":{"observed_at":"2026-08-06T20:18:21.304508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:21.448310Z","title":"https://github.com/deepfakes/faceswap?tab=readme-ov-file, accessed: 2022-01-04","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:21.448310Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:b7a511915ea9310a4cb6f72a5754132441c4bf500f9753cb991e6ec18bf63020","observation_id":"5186e19b-151b-4e00-9cd1-7d1b86b892ee","resolution":{"observed_at":"2026-08-06T20:18:21.448310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:21.564359Z","title":"https://github.com/haofanwang/inswapper, accessed: 2022- 01-04","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:21.564359Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:643ec0e3af1eaa9991dd6345c840d7715160ff94507218c6d44f8d6f0f8e4672","observation_id":"943a5064-244d-4f8a-ae63-ce3bf174f588","resolution":{"observed_at":"2026-08-06T20:18:21.564359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:21.708237Z","title":"https://github.com/s0md3v/roop, accessed: 2022-01-04","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:21.708237Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:8f84826f0ff07157edb3cd0a04ff87383d01de247ca13e01c7b917f1b29bf02d","observation_id":"9006eaef-f23a-482f-a6fd-be1019f1eca5","resolution":{"observed_at":"2026-08-06T20:18:21.708237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:47.733195Z","title":"https://github.com/C0untFloyd/roop-unleashed?tab= readme-ov-file#usage, accessed: 2022-01-04","venue":null,"work_id":"68660ab7-09ef-4210-9b6c-ddac87aa0245","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:21.781792Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:db44c95d1a95c9f37d83a106ae8fe9a2637b6bfe1e2ba012410fdf8729debb45","observation_id":"e59d02a3-2524-433d-8f0b-d2d734a47df0","resolution":{"observed_at":"2026-08-06T20:18:47.889002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:47.382569Z","title":"In: 2018 IEEE international workshop on information forensics and security (WIFS)","venue":null,"work_id":"d5e235e2-80c8-40f1-8582-97ceebe11f15","year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.003862Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:981ac5c64a2c43e095e28a0f4b779c6e5397be476a9f0f5d88af16b87ae108f1","observation_id":"29fef592-1818-43be-95c0-8d91b9a09a06","resolution":{"observed_at":"2026-08-06T20:18:47.570643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2409.07269","last_updated":"2024-09-11T13:43:53Z","snapshot_observed_at":"2026-07-06T19:13:46.489307Z","submitted_at":"2024-09-11T13:43:53Z","title":"Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07269","snapshot_observed_at":"2026-08-06T20:18:22.087638Z","title":"arXiv preprint arXiv:2409.07269 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.087638Z"},"links":{"cited_paper":"/paper/2409.07269","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:b168706c486cf1de19e08fd2f92e957feb68ff78700efb368b2b32f4ee8848d4","observation_id":"efe723d6-4649-4415-bdab-2e43c0335777","resolution":{"observed_at":"2026-08-06T20:18:22.087638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:47.156268Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"9dc02201-dca2-4502-b641-ca96d1757abd","year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.157829Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:1b5b693f7290eca0c8d199488b93c7f944ff02c702ddb125dd62db2ac4b2b0e2","observation_id":"1603daa6-9c84-4d1e-b703-dedd5a1b1181","resolution":{"observed_at":"2026-08-06T20:18:47.259980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:46.820424Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"640915f6-5d2d-46c0-b8f0-4585cb33250b","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.214184Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:bb432affb147336a6bc95def3cc37b68b84512ad464784d3af4518f9685aa587","observation_id":"bb0f8e11-7ea9-4e53-a162-a5a9bfb88e50","resolution":{"observed_at":"2026-08-06T20:18:47.013301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:46.536969Z","title":"In: Proceedings of the International Conference on Automatic Face and Gesture Recognition (FG)","venue":null,"work_id":"3e2cb34a-e748-44c6-ad68-7d27ff8b1ae0","year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.275839Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:e5a575def16349bd0e06da64f65b8692222f4a9a22b1ceae33e8cde7ed08d68d","observation_id":"0cd8b349-15ff-4f7f-9e06-9483778183e9","resolution":{"observed_at":"2026-08-06T20:18:46.678165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1707.03718","last_updated":"2017-06-14T20:37:17Z","snapshot_observed_at":"2026-07-06T05:50:48.465057Z","submitted_at":"2017-06-14T20:37:17Z","title":"LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"1707.03718","doi":null,"metadata_source":"pith","pith_arxiv_id":"1707.03718","snapshot_observed_at":"2026-08-06T20:18:32.130465Z","title":"LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation","venue":"cs.CV","work_id":"d1d5cacd-4b93-4f16-b54c-75adb73d2c39","year":2017},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.356115Z"},"links":{"cited_paper":"/paper/1707.03718","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:ad67df552bf7321cf3be68ce6c080e468429d38641a8d04fe112dcbb01b87429","observation_id":"e5d807c3-e168-442a-b108-3cb159c31327","resolution":{"observed_at":"2026-08-06T20:18:32.194014Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:46.310974Z","title":"In: 2021 IEEE International conference on Multimedia and Expo (ICME)","venue":null,"work_id":"c202660d-1771-4e62-bfcb-55f187e9475e","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.453310Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:1b2320039fcfc920dedee2316fb6bcfd4b835c7846ae7073f8d2ad5c4405c0aa","observation_id":"acfda776-edd6-46f0-9673-94756abb43d3","resolution":{"observed_at":"2026-08-06T20:18:46.418246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:46.062405Z","title":"In: Proceedings of the 28th ACM international conference on multimedia","venue":null,"work_id":"9447066f-43c6-49e1-bd0f-cf20b7c4aa27","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.575900Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:628a50d917f288150f4187e5b4fe80b744ab88c753f26bba5f86752d625519c8","observation_id":"28182a72-73fa-41ab-b118-73db5c81ab39","resolution":{"observed_at":"2026-08-06T20:18:46.158121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:45.819077Z","title":"In: MM ’20: The 28th ACM International Conference on Multimedia (2020)","venue":null,"work_id":"01ce5e6a-86bd-47d4-bde6-e30b8343f863","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.637137Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3846bebefa09b4974aa6a9dac2eb8f67e6bdb3790583db8d965d7deb8d5ad3a4","observation_id":"8fdbaaab-16eb-4746-b78a-d415b732972d","resolution":{"observed_at":"2026-08-06T20:18:45.937949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:45.583124Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"23b46d31-452f-4573-a557-0f3ca4d34105","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.797787Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:90b9dfa389c292c6c54725bb76bd7b280ecd9dc8c8cfa09f634f4f0543c7cd9f","observation_id":"ec3cf987-bdee-45be-bc45-3ae5569af773","resolution":{"observed_at":"2026-08-06T20:18:45.696626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:45.282200Z","title":"Proceedings of CVPR (2022)","venue":null,"work_id":"0d27e947-cc31-4108-9c4b-4ea4cbd12074","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:22.900579Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:c83e8fe0892c5b982ec048a39832a819d9cd4cc0b52ffaf275f396d7e0b8310f","observation_id":"4a09fa73-17e7-473d-8b11-9b8910d611c0","resolution":{"observed_at":"2026-08-06T20:18:45.414018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:45.060057Z","title":"IEEE Conference on Computer Vision and Pattern Recogni- tion (CVPR) (2018)","venue":null,"work_id":"a47b3ad4-8308-4809-a228-d07da3d64258","year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.090693Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:5d034e0d28bfa11a8edbb0e5d7a6017a73d4af92ab9eafc41f6ecd6c3dcd09e8","observation_id":"1852b235-b147-434d-803c-779d92a5bcaa","resolution":{"observed_at":"2026-08-06T20:18:45.157453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:44.903770Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"d70a94f7-0e44-41ed-ac9c-d383f137578c","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.223836Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:0e7915f8a6747cc8f3210a80eaa9bbec656a895b5bb422a9721cca42d5f1e90d","observation_id":"b6f21196-2a2b-4f0d-b3bf-057001c78173","resolution":{"observed_at":"2026-08-06T20:18:44.972711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1806.05622","last_updated":"2018-06-27T01:49:17Z","snapshot_observed_at":"2026-08-04T08:09:48.365818Z","submitted_at":"2018-06-14T15:59:12Z","title":"VoxCeleb2: Deep Speaker Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.05622","snapshot_observed_at":"2026-08-06T20:18:23.320534Z","title":"arXiv preprint arXiv:1806.05622 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.320534Z"},"links":{"cited_paper":"/paper/1806.05622","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:d79ac8da6f8fe96df200e672760a7c3ca4cb4de3d7527406d4effd8c6310ed27","observation_id":"fff4c801-0338-47e2-986e-a950e3695ff9","resolution":{"observed_at":"2026-08-06T20:18:23.320534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:23.627260Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.627260Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:f3f26cb45b261e10f19f81bbc693fa4bd993491c17a88631f5b97079227b1f2b","observation_id":"2bddd872-b5b1-4879-99c1-7e5018b5892a","resolution":{"observed_at":"2026-08-06T20:18:23.627260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:44.684862Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"ef555250-8b3e-4e79-ad96-e3cdf71aa194","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.681576Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:247eb0eca3cf6c78918822a2130459086439efea92a38195b499b5635d3abf71","observation_id":"7f751379-859d-4e06-8ada-e4f0255004c6","resolution":{"observed_at":"2026-08-06T20:18:44.766619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:44.405445Z","title":"https://github.com/iperov/ DeepFaceLab (2020)","venue":null,"work_id":"af0a9e37-ef29-45a7-a499-717ee96bbcce","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.797218Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:b44cd675194a605c482378e62ab07a9b9d13b92ce38d6090a77b55bee4d012c1","observation_id":"f367d33d-93ed-41f0-9560-eecb04378025","resolution":{"observed_at":"2026-08-06T20:18:44.500498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:44.211672Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"c8f054c9-9d71-40ce-8d1d-33b0f6067d3e","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.907239Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:11e99c0838d090e956187a5f251e6c6774aa06271c0ba96db118531ee59f6d4f","observation_id":"a30ca4ff-8376-480a-9202-23c6a1c0066b","resolution":{"observed_at":"2026-08-06T20:18:44.304097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2006.07397","last_updated":"2020-10-28T03:48:28Z","snapshot_observed_at":"2026-07-06T09:28:36.954658Z","submitted_at":"2020-06-12T18:15:55Z","title":"The DeepFake Detection Challenge (DFDC) Dataset","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07397","snapshot_observed_at":"2026-08-06T20:18:23.989884Z","title":"arXiv preprint arXiv:2006.07397 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:23.989884Z"},"links":{"cited_paper":"/paper/2006.07397","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:e78b098f516f589ba0c3f06b637ddb5b4db31ebfa3113b5e9307b32f7ec89da5","observation_id":"0292c698-5eb4-40f4-8897-468757f2b89b","resolution":{"observed_at":"2026-08-06T20:18:23.989884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.14457","last_updated":"2023-03-10T02:45:34Z","snapshot_observed_at":"2026-08-02T03:13:08.719912Z","submitted_at":"2022-10-26T04:02:29Z","title":"Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.14457","snapshot_observed_at":"2026-08-06T20:18:24.043355Z","title":"arXiv preprint arXiv:2210.14457 10 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.043355Z"},"links":{"cited_paper":"/paper/2210.14457","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:7dba4624f7458d9bfa5687de2be2c14d4e48644d612b84f22cd9a0a63e7cc8c7","observation_id":"0d732720-f10a-4b93-b4ac-5e49c6437ede","resolution":{"observed_at":"2026-08-06T20:18:24.043355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:44.040674Z","title":"International Conference on Learning Representations (ICLR) (2021)","venue":null,"work_id":"ca72a894-50f3-4c57-b073-76b89f31e3f8","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.160379Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:0ffe6dfaf95be77a376b695336441d0d60c543cb95ec25f613018f183e0bd670","observation_id":"a5c02fb0-4247-48b3-b1c1-e4392854dfe7","resolution":{"observed_at":"2026-08-06T20:18:44.124389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:43.885547Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"f33cccb5-5325-43e7-b6fa-d8459c885b1d","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.237110Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:6ac595c15995d82b74024f2d50b38e8011095081234c0a194962d164866705ca","observation_id":"70c80b0f-b12b-479b-8b79-f8a438e9b303","resolution":{"observed_at":"2026-08-06T20:18:43.943460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1508.06576","last_updated":"2015-09-02T08:24:59Z","snapshot_observed_at":"2026-07-06T04:27:45.692332Z","submitted_at":"2015-08-26T17:14:42Z","title":"A Neural Algorithm of Artistic Style","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.06576","snapshot_observed_at":"2026-08-06T20:18:24.328598Z","title":"arXiv preprint arXiv:1508.06576 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.328598Z"},"links":{"cited_paper":"/paper/1508.06576","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:950f340d1f5742ae295e16da41698eee43353fa904dfe4edf1525751a4ef0ced","observation_id":"b7d1f91d-e561-437a-9830-9f8c35a1a2a1","resolution":{"observed_at":"2026-08-06T20:18:24.328598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.31966","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:31.799440Z","title":"IEEE Access 10, 83452–83462 (2022)","venue":null,"work_id":"34bca028-bfbf-4ab8-a3b0-3f2117b90830","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.400662Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:c57ea39499c6798128d134572b470540fe07869e29470244e3a210b549a1d3cf","observation_id":"ac58056b-3be5-426f-9bfe-d5238451c947","resolution":{"observed_at":"2026-08-06T20:18:31.958562Z","resolver_source":"raw_fallback","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:43.689631Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"b2048b33-1038-48c1-8a4e-5ad10bf203e9","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.496619Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:a1d1524c6774e4104d99e0fef364671b948b32cc8e7bf55df7aad7fb716f09b9","observation_id":"e565d447-4388-4d79-af4d-e9f53aff19c9","resolution":{"observed_at":"2026-08-06T20:18:43.806400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:43.252554Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"f3f661f8-bbe4-4ef8-959c-3d144bec75f8","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.617611Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:f00b6e0f0a6a683b98f6f40a1924d8c0fb82cf2d1c04ba6003316f676b20d5dc","observation_id":"5cd49b02-c3ee-417c-9cf3-6611e97ea80a","resolution":{"observed_at":"2026-08-06T20:18:43.467935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:24.731614Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.731614Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:f0aec9fa66f6dd78ee2d9d6e362eedc8d218f6add373b40ae3f9ee953a51ce6b","observation_id":"f48dd5f9-4b84-45a3-ae5c-bf5fe3b54d6a","resolution":{"observed_at":"2026-08-06T20:18:24.731614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:42.861484Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelli- gence (2022)","venue":null,"work_id":"13154f2d-a25d-414d-936f-570fb5923e92","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.894637Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:9e882966514c93607e8c18d4cd6dbc2e951ef19b3ee463b4430c39dc190ac956","observation_id":"0ca26d89-5fee-4c51-aef6-4cd7bd22a509","resolution":{"observed_at":"2026-08-06T20:18:43.084490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:42.465916Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"2588ab11-f672-4f2b-888c-b9edb33c3157","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:24.971510Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:b8c35ef6e0eb498fcf71cc2215dcdbcc889cb737131778c0020c0e6d381d100b","observation_id":"3db558dc-2264-4fd7-83b7-c9339612fa30","resolution":{"observed_at":"2026-08-06T20:18:42.666267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:42.080046Z","title":"In: Proceedings of the IEEE international conference on computer vision","venue":null,"work_id":"639573fc-a722-4b83-bdeb-9fce6025e48f","year":2017},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.079614Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:7060cedcdc87d992f6a55843dc9ffaa62797ebd73c564ec5b04493f8eba2c191","observation_id":"ff2e7438-1d9a-46bf-994d-d8137b4e150c","resolution":{"observed_at":"2026-08-06T20:18:42.300714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:41.728435Z","title":"IEEE Transactions on Information Forensics and Security (2020)","venue":null,"work_id":"b23c0cff-c76b-4533-bf8b-28770ff63bc5","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.270394Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:e0ee17e01f98ac00bc92c0c8c9e2e2907df67dc060c59d6021acf823a0df9589","observation_id":"a81a0e97-180d-419c-b400-e29986088f7b","resolution":{"observed_at":"2026-08-06T20:18:41.862448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:25.432274Z","title":"In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.432274Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:c7322069628e442e779e64cb762d9696c59eaf5f15a46921b9c872c0ed3a8341","observation_id":"7ddc090b-a252-40b1-83d7-8cb666ff5759","resolution":{"observed_at":"2026-08-06T20:18:25.432274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:25.544432Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.544432Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:f8090993b3e27d51f8dc34c79d8c15061abb073bfdb5b1db11ab9f5ab7e2d1fd","observation_id":"3eab7e31-4c97-4e10-904a-a4ba37ff0a38","resolution":{"observed_at":"2026-08-06T20:18:25.544432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:41.344261Z","title":"Pattern Recognition Letters (2019)","venue":null,"work_id":"38faf09e-0655-4336-aefc-78ef4dc8789c","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.593387Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:0ef6746a42ec23e0ac6e7743d17c4a39f07b28ea62e0bd07b545b96920fff975","observation_id":"1144ea2d-cf83-4685-b65a-5d8ca459b2e6","resolution":{"observed_at":"2026-08-06T20:18:41.547943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:40.985421Z","title":"Proceedings of ACM MM (2020)","venue":null,"work_id":"0571cb98-e7ba-4ebc-bf26-c49d6868435a","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.697760Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:03f7b8f36b62096957d50486ddaa1821569db377d3993cb7cacf59fbfed5b4a5","observation_id":"a14c1f5f-f872-4766-8084-9cb15f1b3e49","resolution":{"observed_at":"2026-08-06T20:18:41.179987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1812.08685","last_updated":"2018-12-20T16:36:39Z","snapshot_observed_at":"2026-08-03T08:33:32.535153Z","submitted_at":"2018-12-20T16:36:39Z","title":"DeepFakes: a New Threat to Face Recognition? Assessment and Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.08685","snapshot_observed_at":"2026-08-06T20:18:25.795267Z","title":"arXiv preprint arXiv:1812.08685 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.795267Z"},"links":{"cited_paper":"/paper/1812.08685","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:6e170b97218605d877cc8c6e26ac20e4b2ca5e3e7278f15b0125f5d01bc379a6","observation_id":"1699118c-2117-4754-9fa9-962628197a4c","resolution":{"observed_at":"2026-08-06T20:18:25.795267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.13457","last_updated":"2020-09-15T07:43:58Z","snapshot_observed_at":"2026-07-06T08:47:53.346676Z","submitted_at":"2019-12-31T17:57:46Z","title":"FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.13457","snapshot_observed_at":"2026-08-06T20:18:25.877229Z","title":"arXiv preprint arXiv:1912.13457 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:25.877229Z"},"links":{"cited_paper":"/paper/1912.13457","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:28be79b1a96d29e60d09d4d533a3f83e3075aba3a01390f96c435bd04a0c9e9d","observation_id":"b18d1afe-3208-457a-9a16-8cad8c2d221b","resolution":{"observed_at":"2026-08-06T20:18:25.877229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:40.613793Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"69415d7d-4a31-478d-93e9-6d907a714d07","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.104814Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:8db878038da08593e3958ccb87bbcf098a5ae74123bac7b182c75f213bf4e6d8","observation_id":"70f7f787-d386-4bc7-b208-c817baed5525","resolution":{"observed_at":"2026-08-06T20:18:40.819671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:40.320371Z","title":"Proceedings of AAAI Conference on Artificial Intelligence (2022)","venue":null,"work_id":"f1879f67-fe52-4f3c-8479-3f9b9d6948a3","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.249167Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:56715185b90e8a6c184c8d1cc2df21e76ed5243914724cd8a13e0eddb5f74e45","observation_id":"e466479e-ee8a-4a3b-8078-d5ee77e86e3c","resolution":{"observed_at":"2026-08-06T20:18:40.465617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:39.959823Z","title":"IEEE Transactions on Image Processing (2023)","venue":null,"work_id":"33b2e1d1-c486-4c7b-be41-02edb7e03847","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.383532Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:657863c8c281c0b65218c8b183c3a0402ad49e91a7a429ce8c152022904890ac","observation_id":"0cd989ff-271b-4604-8f17-cddb59a56ddb","resolution":{"observed_at":"2026-08-06T20:18:40.155377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:39.595717Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"8c2e75c4-bfe5-4220-90bb-e8a746e06378","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.544754Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:aca612871e02eb8e20883c0e2a14086787932ec65efe87f4182dc677e6c5b194","observation_id":"b43bdc42-9af4-4223-a814-86c5d162d88d","resolution":{"observed_at":"2026-08-06T20:18:39.745246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:39.263092Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"96763d89-f60c-4f65-9c3c-825f8caf3ccb","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.773106Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:ce06eaad836ae1cd1333bd394c650e92d74c16f589f7f16167920520e1ee91b7","observation_id":"1c42b523-1a79-4772-86e7-187896a8dcd2","resolution":{"observed_at":"2026-08-06T20:18:39.386827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:38.975771Z","title":"IEEE Transactions on Multimedia (2021)","venue":null,"work_id":"ef561eb7-92ab-4c0e-b5ab-283d755fae98","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.883697Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:93c39b2dfa77b7145c26c3053b6840d2c5c6a85924d99b8b2fc9031d4d8acf0b","observation_id":"e6d41396-d718-4ac7-bf7e-79fbadfe06d4","resolution":{"observed_at":"2026-08-06T20:18:39.097455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2211.14068","last_updated":"2023-03-23T08:05:52Z","snapshot_observed_at":"2026-07-06T14:23:00.425558Z","submitted_at":"2022-11-25T12:40:45Z","title":"Fine-Grained Face Swapping via Regional GAN Inversion","version":2},"cited_work":{"arxiv_id":"2211.14068","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.14068","snapshot_observed_at":"2026-08-06T20:18:31.474721Z","title":"Fine-Grained Face Swapping via Regional GAN Inversion","venue":"cs.CV","work_id":"3d632aea-09d5-40c0-b5e4-280a04269bf8","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.943026Z"},"links":{"cited_paper":"/paper/2211.14068","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:b269736bc6c2a90ec2f9a9cbd7625fd102a073dcb66ae62b8d4abdca8471fd82","observation_id":"97f11d19-6b9b-4184-a1f4-711efae5c493","resolution":{"observed_at":"2026-08-06T20:18:31.584279Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:38.782981Z","title":"In: Proceedings of the Asian Conference on Computer Vision","venue":null,"work_id":"97729af5-798c-43be-9442-7c41ed5b940e","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:26.996376Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:5c06bc05bbfcefa09f71af44a0ae6912042c80d3313b8c4af8bbdfdeefb0eefd","observation_id":"22a47ed6-0132-4fc7-b61a-2023d5df689c","resolution":{"observed_at":"2026-08-06T20:18:38.879161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:27.116051Z","title":"In: Proceedings of International Conference on Computer Vision (ICCV) (December 2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.116051Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3b1036a1e9590d93ae2fe706de66cec6a0f6f2566e971972398bcc23d253193b","observation_id":"9b75f07d-a683-417a-bf4c-1a4c48be77f3","resolution":{"observed_at":"2026-08-06T20:18:27.116051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:38.562913Z","title":"In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition","venue":null,"work_id":"edeae489-3cfb-4ef9-9226-f87a3fe4d91c","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.227582Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:a18e40d952bc6569114a9e0fc79deccb26f52b4de30650eef70c7c2354cdae54","observation_id":"d4a03e09-1a67-47cb-ba01-97b9beddb474","resolution":{"observed_at":"2026-08-06T20:18:38.667317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:38.400759Z","title":"Proceedings of CVPR Workshops (2020)","venue":null,"work_id":"52dafc69-75d1-433d-a9e8-188619d044ce","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.343083Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3b4d89144ead7040be8f2af2542eb0076219e9a9e4313a1827cf1da0169cf2c6","observation_id":"3134dbbd-f916-4fd3-992b-21e55eb66e00","resolution":{"observed_at":"2026-08-06T20:18:38.476124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:38.091252Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition","venue":null,"work_id":"cbcdcf3f-ce7c-4a78-8ae3-98a85d3c0bc4","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.418763Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3a74e145f0783fb84fb19d558347a64db3c9587f32d2ff73f0fd4ed04d83b310","observation_id":"7a97134f-021c-45b5-af35-9863324f13bd","resolution":{"observed_at":"2026-08-06T20:18:38.253104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1804.03447","last_updated":"2018-04-18T06:44:06Z","snapshot_observed_at":"2026-08-06T12:53:48.117607Z","submitted_at":"2018-04-10T10:54:34Z","title":"RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.03447","snapshot_observed_at":"2026-08-06T20:18:27.512760Z","title":"arXiv preprint arXiv:1804.03447 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.512760Z"},"links":{"cited_paper":"/paper/1804.03447","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:d51b9b4daefde9ec0f69b6798d8d5e5531ea51b77382d553f92e621e109b58a2","observation_id":"a785b85e-3912-4281-8cd1-acc9e9b72450","resolution":{"observed_at":"2026-08-06T20:18:27.512760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:37.745448Z","title":"In: Computer Vision– ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Aus- tralia, December 2–6, 2018, Revised Selected Papers, Part VI 14","venue":null,"work_id":"adb3d13a-fc6b-47ca-82a2-cb425598d5cc","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.639805Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:ecba098526451f1f21d133a66aed9254e44c3f2121edd393bd980c76373f6728","observation_id":"794b8334-3186-43dd-95ec-3ad83d1c7bd5","resolution":{"observed_at":"2026-08-06T20:18:37.905286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:37.466351Z","title":"In: ICASSP 2019- 2019 IEEE international conference on acoustics, speech and signal processing (ICASSP)","venue":null,"work_id":"271bc76d-e4cc-458d-87b3-4f514e003203","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.726918Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:bc4ae2ae1b061b917f9b41c8ba22cc2f0556e847b749f4407f2455b17d3dcbf5","observation_id":"970e49e1-c0d6-4687-a8dc-319d96f7be61","resolution":{"observed_at":"2026-08-06T20:18:37.579881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:37.158850Z","title":"In: Proceedings of the IEEE International Conference on Computer Vision","venue":null,"work_id":"8fd098b5-dd78-4662-8180-7cd654622f0a","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.840322Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:221b4f5302e1796831be2aa431da062976fcd0771d73d4d5f0076ebea81461b3","observation_id":"058915f2-8cd4-43e7-bfbf-590dce233d34","resolution":{"observed_at":"2026-08-06T20:18:37.341766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:36.883956Z","title":"In: European conference on computer vision","venue":null,"work_id":"d89ed552-b6f3-4986-a1a3-a0bd3ffed1c1","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:27.960825Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:248b22bd085ff07e42c7c8a522943f563eee53503bcb4dcaeabfbcd72cde1881","observation_id":"0b563f33-996f-445e-b894-8116b71f305a","resolution":{"observed_at":"2026-08-06T20:18:37.051863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:36.609089Z","title":"In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted In- tervention (MICCAI)","venue":null,"work_id":"1055a248-efe4-47fb-b040-62b77e20c6fc","year":2015},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.139006Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:6900dbd5d4e4826cc559adb937d24423282273408b69188b89cf13d298d2466e","observation_id":"e55233fd-c784-4f0a-9dff-6091db7dc0fe","resolution":{"observed_at":"2026-08-06T20:18:36.752602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:36.384243Z","title":"In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV)","venue":null,"work_id":"3429df70-1cca-4eb9-9425-c3126e0b341b","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.242152Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:91c11082b23dadbc4ff377285e56afbc1978330face0b9edd80bbc33e6e3d097","observation_id":"ebdfbc44-8860-4439-b402-04fb2cbe67f0","resolution":{"observed_at":"2026-08-06T20:18:36.477632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:36.037324Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"295b1712-3ea4-44ec-9678-eeda988b4153","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.287498Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:16db03cfa3ef0c8efa3ad91d78adb0f79ab4eb4bf81adc83b1946e86d2729405","observation_id":"5188f6a6-f8d3-4419-a47a-02630305ce26","resolution":{"observed_at":"2026-08-06T20:18:36.227063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:35.681290Z","title":"Advances in Neural Information Processing Systems (NeurIPS) (2017)","venue":null,"work_id":"c4d923da-d4b8-47aa-ac7a-ad1286e8a876","year":2017},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.370078Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:2f1f14f4d8e0eca5a0c9b36cefd3a9329cd6c921caa7ad70b438f7d264cc3a36","observation_id":"03e10676-c79c-4e5e-b760-2a471a40297c","resolution":{"observed_at":"2026-08-06T20:18:35.874619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:35.415593Z","title":"In: Proceedings of the IEEE confer- ence on computer vision and pattern recognition","venue":null,"work_id":"090e6243-d8f7-44ca-a400-e2a6d462570a","year":2015},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.449449Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:4129b143f3f6fe94967594e0b795ec74d727900abcd47632e71b54c7406b5799","observation_id":"3cb53560-65c4-4b88-941e-bb24dc02c2c4","resolution":{"observed_at":"2026-08-06T20:18:35.563976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:35.152693Z","title":"In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision (ICCV)","venue":null,"work_id":"8f0ccb51-5ccb-40b6-9392-1d5762b0ff34","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.537146Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:92138dd7a25fd64c24c646de8c63d35d02333a6e513efd756a57c1e31819e194","observation_id":"a43490ff-c31a-4ff4-b888-779e47e13e3f","resolution":{"observed_at":"2026-08-06T20:18:35.289053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:34.827740Z","title":"In: Proceedings of the International Conference on Machine Learning (ICML) (2014)","venue":null,"work_id":"24fe9173-666b-4e02-ac5c-0ed407110f96","year":2014},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.608287Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:8618786023f7ac4f8be25477da92517b0c283cddcf06d0aa5183f9c9fa15822e","observation_id":"403d2d9a-29a4-4c1d-82ed-e130fe4c6468","resolution":{"observed_at":"2026-08-06T20:18:34.973334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:28.664918Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.664918Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:ac2683b9a31e8599557a9bc414e8d5897554232a91e9c544e55c7c5f151b59f9","observation_id":"3ece2087-1810-48d0-8bad-99a9eed867b0","resolution":{"observed_at":"2026-08-06T20:18:28.664918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:34.703279Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"0ca4b35c-bf3d-4c92-b14f-a48aae66fd42","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.820877Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:221c225decd8452a65b5c2d29ba329a36e6cedfa4703d21eadb76ffd07ee7de4","observation_id":"e84337b7-b2bf-4db8-986d-b298a24b4296","resolution":{"observed_at":"2026-08-06T20:18:34.752311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2403.01108","last_updated":"2024-05-29T13:12:40Z","snapshot_observed_at":"2026-08-06T08:03:46.069426Z","submitted_at":"2024-03-02T07:02:17Z","title":"Face Swap via Diffusion Model","version":2},"cited_work":{"arxiv_id":"2403.01108","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.01108","snapshot_observed_at":"2026-08-06T20:18:31.191512Z","title":"Face Swap via Diffusion Model","venue":"cs.CV","work_id":"79cbd3a8-78bd-4874-8489-ef32c5afffc0","year":2024},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:28.897837Z"},"links":{"cited_paper":"/paper/2403.01108","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:1bee660ca8cd138bc946ca917ffbe9d0f16b2cc37183d592765de8569d35cf33","observation_id":"b3dd5622-a8c1-4d9b-8b69-370e2abc24c3","resolution":{"observed_at":"2026-08-06T20:18:31.363570Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:34.505173Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"1e1653bc-8a58-4447-8823-9c2171a7ec34","year":2018},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.021112Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3c7b0e87998316c4822ed6aa2b7377f3e5b0f77d505cab5232de8931cf7277b0","observation_id":"3e8dc625-b295-4ae8-b9b2-4757673e96f6","resolution":{"observed_at":"2026-08-06T20:18:34.620410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2301.06789","last_updated":"2023-01-17T10:30:34Z","snapshot_observed_at":"2026-07-06T14:41:56.129509Z","submitted_at":"2023-01-17T10:30:34Z","title":"Multicenter automatic detection of invasive carcinoma on breast whole slide images","version":1},"cited_work":{"arxiv_id":"2301.06789","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.06789","snapshot_observed_at":"2026-08-06T20:18:30.929466Z","title":"Multicenter automatic detection of invasive carcinoma on breast whole slide images","venue":"eess.IV","work_id":"6988d8e6-5a85-48f8-928a-d8b15a8b81d3","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.055135Z"},"links":{"cited_paper":"/paper/2301.06789","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:686facd9ec5460116647a6b59ab4ac6b1249ee5a62e921c26e646189dbfb7f9e","observation_id":"813b1802-994f-4126-98b9-38952be0eeb6","resolution":{"observed_at":"2026-08-06T20:18:31.029932Z","resolver_source":"local_arxiv","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":"2106.09965","last_updated":"2021-06-18T07:39:09Z","snapshot_observed_at":"2026-07-06T11:20:35.920607Z","submitted_at":"2021-06-18T07:39:09Z","title":"HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping","version":1},"cited_work":{"arxiv_id":"2106.09965","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.09965","snapshot_observed_at":"2026-08-06T20:18:30.721669Z","title":"HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping","venue":"cs.CV","work_id":"0894f56d-9912-4cde-b916-6fcce136c461","year":2021},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.105389Z"},"links":{"cited_paper":"/paper/2106.09965","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:1c4045f93273efa2120767ef92ba349a0fa3e5355100b4d37853847259d032ed","observation_id":"606c93bd-df40-4ec8-afcb-3d7df51ed1d5","resolution":{"observed_at":"2026-08-06T20:18:30.819725Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:34.320174Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"7ea70e16-1e1d-4d31-9bb5-1e7f6a31dc0b","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.220057Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:9f54aa4af7e135c448fb95dd7e3c9ac095975c276402f81a58264719c291925b","observation_id":"9e56e00a-f0b2-49c5-9476-4649f068fdb7","resolution":{"observed_at":"2026-08-06T20:18:34.439785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:34.131828Z","title":"In: European conference on computer vision","venue":null,"work_id":"99686271-110d-435d-ac3c-97d35f65bd8e","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.414782Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:65054187f4f6baad2ae03c697e486933628b422befe58031e283a9dd8a8249db","observation_id":"22542beb-f154-4179-8224-9f2f709d4051","resolution":{"observed_at":"2026-08-06T20:18:34.239881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:33.764698Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence (2022)","venue":null,"work_id":"a58871e0-ea85-4c0e-9a3b-f941f6e4f7ef","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.558779Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:eaacdbb8ef80da7c455a8ca4d7e25fcb1b4bcf397f6a8b9e8700412413fe4d30","observation_id":"16350f2a-ae70-4c73-88c8-a4856c9dc783","resolution":{"observed_at":"2026-08-06T20:18:33.972840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:33.433180Z","title":"In: Proceedings of the European Conference on Computer Vision (ECCV) (2022)","venue":null,"work_id":"3c939470-34d1-400e-bb59-056c4ae14dec","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.681656Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:e8f4f82dd4c7a9af528a660e1155d210ae9f3ee2555df232b7c24b70029c71cc","observation_id":"508c7c40-93c3-4ece-8817-b4d24d0ef02e","resolution":{"observed_at":"2026-08-06T20:18:33.631787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2406.13495","last_updated":"2024-10-31T09:11:37Z","snapshot_observed_at":"2026-08-06T09:12:28.910035Z","submitted_at":"2024-06-19T12:35:02Z","title":"DF40: Toward Next-Generation Deepfake Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13495","snapshot_observed_at":"2026-08-06T20:18:29.818934Z","title":"arXiv preprint arXiv:2406.13495 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.818934Z"},"links":{"cited_paper":"/paper/2406.13495","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:7c8fe021de99846885a828c13868f44a4641bf37bf726fd969c8ee4befe6596b","observation_id":"13eb9564-09d2-406f-b6c8-e03c96e30c4d","resolution":{"observed_at":"2026-08-06T20:18:29.818934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:33.253301Z","title":"In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","venue":null,"work_id":"f25601d4-d7e1-489f-a3be-84294b42d47e","year":2019},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:29.954023Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:3d9e9f7ad447061f263f4680f1e2180fdfe20b7358d4915fc77a3adb50bb3a60","observation_id":"641538e8-8320-4014-ad26-78ca76157b22","resolution":{"observed_at":"2026-08-06T20:18:33.324406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:33.106315Z","title":"Proceedings of NeurIPS (2022)","venue":null,"work_id":"cacd07ce-e5a1-44eb-8df2-f37cbd334882","year":2022},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.092809Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:be4ad4c9c3e6f99eab1533c6d25333d26d7bfeae6244e4836fc61ef690b2673d","observation_id":"1addde68-cafd-414c-a7e5-fa2218b4dd4e","resolution":{"observed_at":"2026-08-06T20:18:33.157608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:32.878930Z","title":"IEEE signal processing letters 23(10), 1499–1503 (2016)","venue":null,"work_id":"15170762-de68-4e5f-88ea-b113926a6dfe","year":2016},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.184998Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:6901cb73518057092da1f668d69058e89a4c1dc1484e080d44e52eb3cbcb9785","observation_id":"e948f1b3-a185-403d-9b6e-c973978dbd64","resolution":{"observed_at":"2026-08-06T20:18:32.965248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:32.683570Z","title":"Proceedings of ICCV (2023)","venue":null,"work_id":"090eaa7d-a925-4650-a8d5-3078c18b3f56","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.290146Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:c9a7147ce9ed381634ac515117116a2dc2d2ee2af71c196cd7bd10e7b2211601","observation_id":"5b443a55-2b5b-4c83-815f-a1da3ccb176a","resolution":{"observed_at":"2026-08-06T20:18:32.798679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:32.526573Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"3687a4d0-fceb-4695-ac8e-22be5ed9ba74","year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.372410Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:66a0a50d297638030f73cb28ab5333aab41a17e4e762413b6be49f7e47447ec0","observation_id":"a8ff38ab-5091-4495-91bf-99d606d4b96e","resolution":{"observed_at":"2026-08-06T20:18:32.598981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2304.02934","last_updated":"2023-04-06T08:48:01Z","snapshot_observed_at":"2026-07-06T15:12:53.370055Z","submitted_at":"2023-04-06T08:48:01Z","title":"Boundary-Denoising for Video Activity Localization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02934","snapshot_observed_at":"2026-08-06T20:18:30.498191Z","title":"arXiv preprint arXiv:2304.02934 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.498191Z"},"links":{"cited_paper":"/paper/2304.02934","citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:575264ed43ecb89d6ca496b6c099a81af3a1a8ccaf12d0ba89d1862fd2db995e","observation_id":"e1c46bcd-d242-4db4-81d2-01d8b5443114","resolution":{"observed_at":"2026-08-06T20:18:30.498191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:18:32.344906Z","title":"In: Proceedings of the 28th ACM international conference on multimedia","venue":null,"work_id":"9f1b46c3-5d65-4f9c-9ff9-106ba69b3bd5","year":2020},"citing_paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T20:18:30.573376Z"},"links":{"citing_paper":"/paper/2507.03334"},"observation_digest":"sha256:1608c3e420e5e4155bdd4b531fe4063667b0ee5f157f885084c270a00d380187","observation_id":"98525fd9-20dc-4a2b-9e82-e3089b8d0424","resolution":{"observed_at":"2026-08-06T20:18:32.428953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2507.03334","last_updated":"2025-07-14T05:02:35Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:10:34.107551Z","submitted_at":"2025-07-04T06:42:51Z","title":"De-Fake: Style based Anomaly Deepfake Detection"},"reference_resolution":{"displayed":84,"state_counts":{"malformed_identifier":0,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":58},"total_outbound_references":84},"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 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 1 inbound Pith citation observation for arXiv:2507.03334."}