{"as_of":"2026-08-10T08:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37882eb126c391fbe0bc0680f9c976c6bc71f9c99323d2e41355098c0651217e","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:36:50.778501Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"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":"arxiv_reference","source_observed_at":"2026-06-28T23:22:46.812869Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"cited_work":{"arxiv_id":"2507.02398","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.02398","snapshot_observed_at":"2026-06-28T23:22:46.812869Z","title":null,"venue":null,"work_id":"e1c9d229-a040-4b57-892a-a0fcdeddf6a8","year":2025},"citing_paper":{"arxiv_id":"2605.31192","last_updated":"2026-05-29T12:01:17Z","snapshot_observed_at":"2026-08-03T03:46:10.037632Z","submitted_at":"2026-05-29T12:01:17Z","title":"The Regularizing Power of Language-Training Deepfake Detectors","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T23:19:55.111556Z"},"links":{"cited_paper":"/paper/2507.02398","citing_paper":"/paper/2605.31192"},"observation_digest":"sha256:bad0125aeb1cbbed96b784705d53751a4d13acb9fda6f0ebcfd30a97015bde12","observation_id":"c8474e11-d844-4e2c-836e-c01685bfb5be","resolution":{"observed_at":"2026-06-28T23:22:46.814294Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.02398","snapshot_observed_at":"2026-07-14T09:16:37.881212Z","title":"arXiv preprint arXiv:2507.02398 , 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":79,"source":"arxiv_source","source_observed_at":"2026-07-14T09:16:37.881212Z"},"links":{"cited_paper":"/paper/2507.02398","citing_paper":"/paper/2607.10787"},"observation_digest":"sha256:0a352a7975f7343a9945915dd5821db32585d6470a0fec48b1910623e7a68a07","observation_id":"0977fc1a-a29c-4a61-a505-b9570a8dd9bc","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/2507.02398/citation-record","integrity":"/paper/2507.02398/integrity","json":"/paper/2507.02398/citation-record.json","paper":"/paper/2507.02398"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:37:00.223587Z","title":"Mesonet: a compact facial video forgery detection network","venue":null,"work_id":"838e0ea7-d38e-4c22-b27f-2daa351f2416","year":2018},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.043662Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:5cbb542287b89ba9a7a5eddbb9c4e7615efab5758ffbddacbf9900d3052bf2fd","observation_id":"e5edf92c-d423-4a8b-b126-e20ffec25648","resolution":{"observed_at":"2026-08-06T20:37:00.319718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.994577Z","title":"Simple online and realtime tracking","venue":null,"work_id":"08bd5aa3-6421-423c-82ea-262b383d9425","year":2016},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.096019Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:17f5ba72a715ca0380c29ef2182f256951bcda9cbe19cd9513a734a0dbfa469e","observation_id":"9e34c0b0-6854-4cec-a8bb-1ad1e773a82f","resolution":{"observed_at":"2026-08-06T20:37:00.097210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.849824Z","title":"Quo vadis, action recogni- tion? a new model and the kinetics dataset","venue":null,"work_id":"2d122143-a8ef-49c8-b459-a8e7d7ca35e7","year":2017},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.157948Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:8919824b6690e998e6279a9ff79bebd7b526899f0aa9cb27c7efa8676040fcad","observation_id":"60a82099-1582-4b47-ae31-08203b575873","resolution":{"observed_at":"2026-08-06T20:36:59.931678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.653515Z","title":"What makes fake images detectable? understanding properties that generalize","venue":null,"work_id":"41cdd0b0-f5f5-4528-9219-4013cf4f3741","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.219683Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:5f2b13fe7a7da2c9de6c44af10f2b2689b60c7c238c4b3336fe9052d0e64248c","observation_id":"d535a3ed-ef34-46d5-8c0b-41adca1c3d86","resolution":{"observed_at":"2026-08-06T20:36:59.742528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.499929Z","title":"Self-supervised learning of adversarial example: T owards good generalizations for deepfake detection","venue":null,"work_id":"c2d5de7a-0dff-4acd-a899-46378949ac2d","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.273990Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:c46a0e29e8c377fe359a06027d726636d8cd2aeee9b6cf9eeaae3e7a617c4488","observation_id":"82a5a858-b7a0-41b2-91fe-471c84ffede3","resolution":{"observed_at":"2026-08-06T20:36:59.577440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.327911Z","title":"Local relation learning for face forgery de- tection","venue":null,"work_id":"a5a22c14-d046-4a89-bfac-b920887cd62c","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.377277Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:ae3de4bf9ff00e4ef513783051412ba01e88439b38215ec2765d9ec4bcab7619","observation_id":"93d84ac6-00c5-432f-ba4b-98e73dc4591c","resolution":{"observed_at":"2026-08-06T20:36:59.436991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:59.153095Z","title":"Exploiting style latent flows for general- izing deepfake video detection","venue":null,"work_id":"a57e2d00-b653-469e-a974-49032549db55","year":2024},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.477543Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:a14a9c3d309f8c2a21665cf54b4fb802dee30fc8f766cdd7b6ad97e321c20e76","observation_id":"6cefdeb0-e6e5-44a0-83f4-9a4f71e06a2b","resolution":{"observed_at":"2026-08-06T20:36:59.251809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:58.981746Z","title":"Xception: Deep learning with depthwise sep- arable convolutions","venue":null,"work_id":"4a494150-7065-4f5c-96cb-9d36ed4c70d8","year":2017},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.588967Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:a3afcb8d0fa19a11dddabd0571e5e00e772fb9c414346d828ac519ed7b1468ea","observation_id":"ac998966-60ce-4b47-83fd-3e3aea44f5b1","resolution":{"observed_at":"2026-08-06T20:36:59.075667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3555","last_updated":"2014-12-11T06:46:53Z","snapshot_observed_at":"2026-08-10T04:10:43.257455Z","submitted_at":"2014-12-11T06:46:53Z","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3555","snapshot_observed_at":"2026-08-06T20:36:46.637012Z","title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.637012Z"},"links":{"cited_paper":"/paper/1412.3555","citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:0e895fd8cd1b00952ea7b33423a68703d79df3f008bd1775c6703296cc12cee9","observation_id":"b9848507-bc37-4eb1-9f56-8b55d513c663","resolution":{"observed_at":"2026-08-06T20:36:46.637012Z","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":"2026-08-06T20:36:58.803480Z","title":"Lip reading in the wild","venue":null,"work_id":"adce23d3-27fe-4f75-99ab-787d1e0e99f2","year":2016},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.717397Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:ff96684e6508d715f54458d1580ef25818a3604144b14407e4148d2fe125eca9","observation_id":"d18ade17-a553-4334-857f-437c005d15dd","resolution":{"observed_at":"2026-08-06T20:36:58.873392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:58.661471Z","title":"Retinaface: Single-shot multi-level face local- isation in the wild","venue":null,"work_id":"42363fce-d2cb-4d91-9960-4966b93f3694","year":null},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.778504Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:7641df9f405773815669fcff46c487a9f2c2a00c8fdf4dc28f32fde810fc1e2a","observation_id":"69200f5f-8379-48de-9894-d41f23aad7aa","resolution":{"observed_at":"2026-08-06T20:36:58.741627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:46.859613Z","title":"The deepfake detection challenge (dfdc) dataset","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.859613Z"},"links":{"cited_paper":"/paper/2006.07397","citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:703f09c7f7d524409dafda3753a05bdac8fecb5c8477629f5323200127de8af0","observation_id":"9e164c59-604a-41a6-89f7-f4f7c51ba036","resolution":{"observed_at":"2026-08-06T20:36:46.859613Z","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":"2026-08-06T20:36:58.500100Z","title":"Implicit identity leakage: The stumbling block 5 to improving deepfake detection generalization","venue":null,"work_id":"687fb17a-0073-48d9-b50c-64ecd4192aba","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:46.954233Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:823271c72a99f46d37b62b341ab0fde575d28564555498799ee6038c58d9a9db","observation_id":"7697d73b-4c68-4910-ad58-e13eaa4757f8","resolution":{"observed_at":"2026-08-06T20:36:58.579712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:58.267700Z","title":"Contributing Data to Deep- fake Detection Research — ai.googleblog.com.https://ai","venue":null,"work_id":"d99fece6-4a93-4468-ac61-0d2e51256edf","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.062906Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:208325ce8050b086bc48a0c4954f9bbf901ee5cc6d8cacca1266060bff80dca6","observation_id":"21be61ab-6cfd-43ea-a87e-819f78d460ae","resolution":{"observed_at":"2026-08-06T20:36:58.373209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:58.106221Z","title":"Slowfast networks for video recognition","venue":null,"work_id":"c176c196-8486-4f7b-825b-382b7e9464ab","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.163499Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:05b038cbf703564c7c77c05a2e6dfaaeff3361631637a2203e541cc7a796663b","observation_id":"8ad6ff13-c365-48c3-adcf-cdde798dd44d","resolution":{"observed_at":"2026-08-06T20:36:58.173235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:57.950634Z","title":"Look closer to see better: Recurrent attention convolutional neural network for fine- grained image recognition","venue":null,"work_id":"5075bf75-8bcd-45bb-868e-9d3601e11d0a","year":null},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.286073Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:94553114b0eeb30bb840882081aa12016a111bbcc06b3cd9cf673402b9c052e5","observation_id":"7d5057c3-4769-4db1-b8e2-a7f796f81e60","resolution":{"observed_at":"2026-08-06T20:36:58.029636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:57.761602Z","title":"Exploiting fine-grained face forgery clues via pro- gressive enhancement learning","venue":null,"work_id":"2b4c319a-d198-4c6f-a6e5-66a034ebb052","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.343864Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e1b3e7e97440d3bab08fd9fc9fd4dda70619cbba32a49581b7e959208ce1a87a","observation_id":"56f43d08-139f-4510-9155-38a1332efbc3","resolution":{"observed_at":"2026-08-06T20:36:57.842626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:57.494080Z","title":"Lips don’t lie: A generalisable and robust ap- proach to face forgery detection","venue":null,"work_id":"ddf907ed-1c35-4ad7-b727-fc4f8506f393","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.463248Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:837f8daba4d81d7042bbc2635c80e16d5b10822aecfe3ed75399f3ad6d719721","observation_id":"d2601358-96ac-448d-8a8f-f49361126ac8","resolution":{"observed_at":"2026-08-06T20:36:57.636268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:57.246164Z","title":"Leveraging real talking faces via self-supervision for robust forgery detection","venue":null,"work_id":"41c7b582-5233-4907-b505-1cacd7dbd182","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.579814Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:0b0686b86f395da3ef2ca707bd8d59588aa0803948274b2c5451cda145f61c41","observation_id":"4bfe5398-cbaa-4bb2-8e9b-b2056eb53110","resolution":{"observed_at":"2026-08-06T20:36:57.358902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:56.991032Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"32b0cdb2-4df1-47ff-adba-10822730e065","year":2016},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.700639Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:433e6e5eba068423fb809f93f78e6a6d58753775b41c02531ab6ad3c1e919d6a","observation_id":"6dbfab29-9a66-494d-999c-59c2fff20cc4","resolution":{"observed_at":"2026-08-06T20:36:57.124320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:56.785901Z","title":"Learning to detect fake face images in the wild","venue":null,"work_id":"d207a454-48c1-404e-81b3-adb102eb7fe4","year":2018},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.796388Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:ddf316a329ec2b09430d522667cbcfb2e7551b035fb012bfc140e9df4dc7d43c","observation_id":"b7a85272-1c93-4392-b83c-4c688f86704e","resolution":{"observed_at":"2026-08-06T20:36:56.905254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:56.509316Z","title":"Bihpf: Bilateral high- pass filters for robust deepfake detection","venue":null,"work_id":"3c60b4f5-4b3d-45de-a919-76b13f58f1b8","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:47.921036Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:ed2267dd37b008a9b25db5efd249b18d70743f85488278eb99a23df2bac22df8","observation_id":"6ae9d1a6-fa30-47be-a10e-2e8d493a2c96","resolution":{"observed_at":"2026-08-06T20:36:56.680234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:56.314917Z","title":"Frepgan: robust deepfake detection using frequency-level perturbations","venue":null,"work_id":"5f5eadc3-0054-4da6-b36e-ebfaed93c8a4","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.024499Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:25d94d84b1857b197f0a38bb6fba295f84518eb3c2ca6be3236d41c8d0d12177","observation_id":"3b168a92-45ca-4d5b-93c6-806976573967","resolution":{"observed_at":"2026-08-06T20:36:56.406867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:56.029518Z","title":"DeeperForensics-1.0: A large-scale dataset for real-world face forgery detection","venue":null,"work_id":"e0e209e3-2685-4069-86be-3df1fd03edca","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.166669Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:cbcd930d2c89379f3aaf7f15193a439fbb3d35c08f3a1a6983db87270e5fe240","observation_id":"601e6924-110a-4afa-b938-270ef759b24b","resolution":{"observed_at":"2026-08-06T20:36:56.138727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04948","last_updated":"2019-03-29T11:08:46Z","snapshot_observed_at":"2026-08-07T15:57:18.072541Z","submitted_at":"2018-12-12T13:59:43Z","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04948","snapshot_observed_at":"2026-08-06T20:36:48.248939Z","title":"A style-based gen- erator architecture for generative adversarial networks.CoRR, abs/1812.04948, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.248939Z"},"links":{"cited_paper":"/paper/1812.04948","citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:6340c86715894da95c738f61869e2ce42b41c51062eac798b5de99b35ee7e384","observation_id":"25aef073-4dac-44da-bc3c-4c56e2a717ef","resolution":{"observed_at":"2026-08-06T20:36:48.248939Z","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":"2026-08-06T20:36:55.761525Z","title":"Image feature detectors for deepfake video detection","venue":null,"work_id":"fbdb27cc-7379-4a4d-9184-b4a69e32d10a","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.329828Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:0cc33b85640b7bee5959eec7bd277d382a759a757ed6058d9fc45a118d7d6843","observation_id":"456935ef-4729-466d-9dfa-26fba496c5fa","resolution":{"observed_at":"2026-08-06T20:36:55.888655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:55.469595Z","title":"Kodf: A large-scale korean deepfake de- tection dataset","venue":null,"work_id":"c2291fdf-2626-4b19-8fd2-53f7f6f25e23","year":null},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.410152Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:00f4672e0be7f08c4db463c0716c90bd8ec8b34b7b5fefad4fda0a406847abc8","observation_id":"75b63e91-190e-43c9-9741-1bb8f1f1bbd4","resolution":{"observed_at":"2026-08-06T20:36:55.612840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.13457","last_updated":"2020-09-15T07:43:58Z","snapshot_observed_at":"2026-08-08T08:09:14.122603Z","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":"2026-08-06T20:36:48.514435Z","title":"Faceshifter: T owards high fidelity and occlusion aware face swapping","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.514435Z"},"links":{"cited_paper":"/paper/1912.13457","citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:5624c475702c5dde1f00ddee9ae3fe5f32a2d91654da9beb843acbddd28ce429","observation_id":"ed034ddd-60cc-400b-ace5-4c242ba24a7c","resolution":{"observed_at":"2026-08-06T20:36:48.514435Z","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":"2026-08-06T20:36:55.264596Z","title":"Face x-ray for more general face forgery detection","venue":null,"work_id":"6e8b6f66-64d0-45db-9725-19c440772cee","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.587012Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e66bede6b8e2a6862715a5fa3edfa760519ad28d3c4188fb05d8904be714b1e5","observation_id":"846bfdc8-60e8-4fb0-a536-b7c0d8ff405b","resolution":{"observed_at":"2026-08-06T20:36:55.306612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:55.133418Z","title":"In ictu oculi: Exposing ai created fake videos by detecting eye blinking","venue":null,"work_id":"298a836a-038e-4746-b344-d5c4e4e70fbf","year":2018},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.696772Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:fb7a0f4bab6dff12f6c8791ef21bfef4fd3400142d95b0b2b4f1ea67913f4e69","observation_id":"5068fed2-f7e6-41c3-bcf8-934eeaf6fdb7","resolution":{"observed_at":"2026-08-06T20:36:55.174797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:55.004068Z","title":"Celeb-df: A large-scale challenging dataset for deepfake forensics","venue":null,"work_id":"0e44e892-4b3b-4e4d-a6cf-e6a0c59ad664","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.819548Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:9e44a5e1a2973ee7d56ad00ac37935897c675b4b02e16010b2f80b6b36095ee8","observation_id":"5eca80a5-5efd-4feb-9289-f2e854b836d3","resolution":{"observed_at":"2026-08-06T20:36:55.072676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.893599Z","title":"Gener- alizing face forgery detection with high-frequency features","venue":null,"work_id":"937a71e1-4fa1-4f3c-a1d8-850d529b8204","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:48.937432Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:c95f7f223202bd0792db6869e95d1a8c062ff7b05967fa3eef955d310824637a","observation_id":"d6ec5d44-54cd-4e57-8626-cdfb660b992a","resolution":{"observed_at":"2026-08-06T20:36:54.945353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.776313Z","title":"T wo-branch recurrent network for isolating deepfakes in videos","venue":null,"work_id":"8188133f-2344-4412-8946-f763a66df8c7","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.031231Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e18146ad81f0bbb114f528835b60ad39accca855927307a554fbc7a68fa6198f","observation_id":"2768ac5e-d042-495b-a706-8a751ef860eb","resolution":{"observed_at":"2026-08-06T20:36:54.847700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.639626Z","title":"Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward","venue":null,"work_id":"244528ff-6baa-4de1-ae29-4a9553714ac3","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.102980Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:d9e84f5e32756c81ed3917fc950007f52ab33ff53fdd97006d92eb5be9a98b38","observation_id":"c5e2de37-0c75-4f34-a9e3-5db96b32a999","resolution":{"observed_at":"2026-08-06T20:36:54.714425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.501926Z","title":"F 2 trans: High-frequency fine-grained transformer for face forgery detection","venue":null,"work_id":"7e6a4aed-cc79-48ee-be30-366c48534cb7","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.183573Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:7501300ee99aff592a7173f46d38deb0935011e372ca718abafc012de879e6cc","observation_id":"51075555-7baa-4079-b02a-4c77c92ec9b5","resolution":{"observed_at":"2026-08-06T20:36:54.592836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.388375Z","title":"Generaliz- able deepfake detection with phase-based motion analysis.IEEE Transactions on Image Processing, 2024","venue":null,"work_id":"4361419a-b2b4-4fdd-b2f4-be241a985be6","year":2024},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.281085Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:d43fa5e44bd350b700c7cd8fb59015df0c404647b4cb6d70407de81f1d7e3708","observation_id":"8afd0004-d9e0-4ec7-a2dc-891df4ad210c","resolution":{"observed_at":"2026-08-06T20:36:54.441960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.235940Z","title":"Thinking in frequency: Face forgery detection by mining frequency-aware clues","venue":null,"work_id":"85d71666-ae12-4199-9b2b-0629981d776c","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.414720Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:2902740651f90b72e8674515843add88ebe3a41264fd4d871f14e1496cc1e016","observation_id":"82094bab-5d0a-481e-8bbd-526f457ddf3e","resolution":{"observed_at":"2026-08-06T20:36:54.288431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:54.112107Z","title":"Thinking in frequency: Face forgery detection by mining frequency-aware clues","venue":null,"work_id":"48ad58de-60f0-4171-b4bb-25c00851acca","year":2020},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.482399Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e4cd7e91e0e203f717c8cbb7a50ab2d0c5d79ec3096941d245342acfefad95d5","observation_id":"b2151879-b462-494d-8ba1-ecc6f004cc3a","resolution":{"observed_at":"2026-08-06T20:36:54.172438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.991681Z","title":"Encoding in style: a stylegan encoder for image-to-image translation","venue":null,"work_id":"fc3d750c-c9b2-456f-bfd1-2f6d3cc7cafe","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.566736Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:515ae6f9490087b75363ffdb356b3374c32017d670244d3cfdaa87877a69cb16","observation_id":"cbdb8335-e143-4b31-b76b-edba5673ba01","resolution":{"observed_at":"2026-08-06T20:36:54.035068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.09179","last_updated":"2018-03-24T23:12:44Z","snapshot_observed_at":"2026-07-06T06:30:02.787977Z","submitted_at":"2018-03-24T23:12:44Z","title":"FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.09179","snapshot_observed_at":"2026-08-06T20:36:49.654583Z","title":"Faceforensics: A large-scale video dataset for forgery detection in human faces","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.654583Z"},"links":{"cited_paper":"/paper/1803.09179","citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:09be076a7aa2f01890ce461bfb9c772e7e9f8ab5f997290388513ca9783f1f9d","observation_id":"206ae763-1eb9-4e12-b71c-8f3b7564a4bb","resolution":{"observed_at":"2026-08-06T20:36:49.654583Z","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":"2026-08-06T20:36:53.864383Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"4e50e432-1b84-4493-9e6e-102581cd612c","year":2015},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.716368Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e6805a95bc880f81277db1ee033d0f10cecd0b9296c42116811b0d147e4daf96","observation_id":"ebb69cd7-a03d-4549-87fe-89d14eadb0ec","resolution":{"observed_at":"2026-08-06T20:36:53.924356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.757505Z","title":"Recurrent convolutional strate- gies for face manipulation detection in videos.Interfaces (GUI), 3(1):80–87, 2019","venue":null,"work_id":"78a40600-802d-4077-bd65-dbd5c0c6674b","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.805255Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:8fc48a8406eaca1165ff51f9747845eb1b1e2dda6fe85ab1aab624bd266a2025","observation_id":"bfc72331-223f-48c2-b867-f490044aaee0","resolution":{"observed_at":"2026-08-06T20:36:53.821347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.606266Z","title":"Detecting deepfakes with self-blended images","venue":null,"work_id":"a39cd3b4-8a18-4c71-bf41-306fe25f7df5","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.856959Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:c294426299e42105f5fb3ecf5ca630023fd0f07637f3c629aa8f4c913306c4cf","observation_id":"e39dd79e-1266-425b-b8af-1308a9090046","resolution":{"observed_at":"2026-08-06T20:36:53.700525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.437467Z","title":"Face forgery detection via symmet- ric transformer","venue":null,"work_id":"3140cac4-359f-4ce8-97f8-9575910899c7","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:49.919503Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:5d4b35dbe62872d316c34ef8a23cfa946655f26a41348f52d452ed7f24baa980","observation_id":"78ba085b-2ddb-469d-9d9c-06235cb70f29","resolution":{"observed_at":"2026-08-06T20:36:53.511475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.304179Z","title":"Improving the efficiency and robustness of deepfakes detec- tion through precise geometric features","venue":null,"work_id":"e3575a90-7916-40fa-a901-09d30ecb620f","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.010043Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:806fe7982ae3f6d9a65379eefee07d5694d2b8bcc3ff5a49f2ef173875e3ca2a","observation_id":"f828deb7-1186-481d-b6e0-1a6171ecb5f5","resolution":{"observed_at":"2026-08-06T20:36:53.376970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:53.130527Z","title":"Cnn-generated images are surprisingly easy to spot","venue":null,"work_id":"e306347c-67e4-4b1e-b7ad-c4aae048f433","year":null},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.057062Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:44f183047060aaaa6da164c6e17e24c18b88d27732b2945f219362d4835f68d7","observation_id":"884ac86b-ab3d-437d-a05b-d2819a5e2370","resolution":{"observed_at":"2026-08-06T20:36:53.210024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:52.930814Z","title":"Spatial-temporal frequency forgery clue for video forgery detection in vis and nir scenario.IEEE Transactions on Circuits and Systems for V ideo T echnology, 2023","venue":null,"work_id":"e0813bb9-9a62-4fe7-b9ac-65ff3146aa16","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.131040Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:8af905307f3491760db7f5ddbf3ea6b4bc0374ee233968a3288091d919745472","observation_id":"0f829fff-cfa2-4539-adea-7a110a098075","resolution":{"observed_at":"2026-08-06T20:36:53.040716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:52.727078Z","title":"Dynamic graph learning with content-guided spatial-frequency relation reasoning for deepfake detection","venue":null,"work_id":"7cedb118-b2a9-4fb7-881e-838071e55942","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.215603Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:de5eef491e2da6e0a4712076283cd6c396f550d2cb1913a18d00ec1f04160aff","observation_id":"009388da-b31c-47f6-8202-ecc44712a262","resolution":{"observed_at":"2026-08-06T20:36:52.816997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:52.507017Z","title":"Altfreezing for more general video face forgery detection","venue":null,"work_id":"390e4ee0-7c7d-45e1-bfec-88e604b387b2","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.306026Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:a359637779a4130aaeeb07a2462dc72d26e1c01f2c83c2785387c0d421911539","observation_id":"c8f08ef3-ffd5-4308-b120-5a114f713e0f","resolution":{"observed_at":"2026-08-06T20:36:52.603848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:52.347902Z","title":"Multimodal graph learning for deepfake detection, 2023","venue":null,"work_id":"208a954c-7c85-46ed-b72d-a5f5cba32bdb","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.362873Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:01ae41b7896191b3cabbc209fc7203a3c5e8809f9d72f3833a71d00dd058dbd7","observation_id":"4c38bb82-7939-4861-9874-10fd4b13578c","resolution":{"observed_at":"2026-08-06T20:36:52.417155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:52.125348Z","title":"Exposing deep fakes using inconsistent head poses","venue":null,"work_id":"59eba4da-6be3-42d7-b5d2-7b97dca824e5","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.424372Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:feb453ec34bf383dffd2be947f70b6f80a5536efd0e86d9f4c362ea16971c629","observation_id":"616c115a-dcb5-41ba-88ad-c10069df0d07","resolution":{"observed_at":"2026-08-06T20:36:52.264868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:51.888939Z","title":"Attributing fake images to gans: Learning and analyzing gan fingerprints","venue":null,"work_id":"05dbce66-c669-4f1d-9a33-3f6a052139ac","year":2019},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.472085Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:38f60ba807a22564c6936f646679f59361c24507e78c5bbb78da908c815bdd3a","observation_id":"6867bb7c-fc35-43c2-9931-0f6fa1c03b86","resolution":{"observed_at":"2026-08-06T20:36:52.019766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:51.644700Z","title":"Istvt: Interpretable spatial-temporal video transformer for deepfake detection.IEEE Transactions on Information F orensics and Security, 18:1335–1348, 2023","venue":null,"work_id":"29f85a45-9f9a-4819-9cd5-98b0c0251d34","year":2023},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.550681Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:30dc19b2019b748a8395a2bf585c7a5936139bb4ea23fac50eea1b50347f50b8","observation_id":"78dd69f9-b00c-493a-9582-85c38c89c9fb","resolution":{"observed_at":"2026-08-06T20:36:51.753464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:51.313079Z","title":"Multi-attentional deepfake de- tection","venue":null,"work_id":"f7b31454-6839-41d1-8b5a-f00e98b703a6","year":2021},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.624690Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:561d5928c66a54abd3a832319ba215d8340df5cdc245c2d2311225efbaf3b99a","observation_id":"10a7656c-323c-4711-8204-ab782482fb3b","resolution":{"observed_at":"2026-08-06T20:36:51.460094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:51.062967Z","title":"Exploring temporal coherence for more general video face forgery detection","venue":null,"work_id":"ec5f7479-0469-4469-ad03-4eb1a5022956","year":null},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.699766Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:e0bb15c78d63ed75dfef9a2a033338fb5df4c47997695a098f28f6dcdaa4bd69","observation_id":"ee4a29f5-bf21-46be-95b8-2446e0bb92fb","resolution":{"observed_at":"2026-08-06T20:36:51.186162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:36:50.897181Z","title":"Multiple recurrent attention convolutional neural network for fine-grained image recognition","venue":null,"work_id":"208f19ad-38fa-455a-9440-cf6a20face69","year":2022},"citing_paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:50.778501Z"},"links":{"citing_paper":"/paper/2507.02398"},"observation_digest":"sha256:cb8bf8cda9bf1ab6012d1cfd5e323e164dfaebe63bbe32a448918e74106f83c9","observation_id":"52fffff9-e2fd-46b6-bffa-8e20c88b2e72","resolution":{"observed_at":"2026-08-06T20:36:50.943930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02398","last_updated":"2025-07-10T06:52:35Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T15:38:01.068137Z","submitted_at":"2025-07-03T07:49:55Z","title":"Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":51},"total_outbound_references":56},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2507.02398."}