{"as_of":"2026-08-20T04:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77f3308d94e5be0f004abc59c574def9ac58f8f4199438b32c35ba46855bdf36","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:57:46.827556Z","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":"2026-06-28T23:22:46.772634Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14376","snapshot_observed_at":"2026-08-12T14:57:46.827556Z","title":"Beyond the spectrum: Detecting deepfakes via re-synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14798","last_updated":"2024-11-22T08:49:08Z","snapshot_observed_at":"2026-08-18T02:18:15.420569Z","submitted_at":"2024-11-22T08:49:08Z","title":"Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T14:57:46.827556Z"},"links":{"cited_paper":"/paper/2105.14376","citing_paper":"/paper/2411.14798"},"observation_digest":"sha256:4d4bc6660d16919795b6134fde6031500fbb811a606bb7f5e703b25571f02486","observation_id":"6f722510-0b7c-490e-881a-c6645bae85b9","resolution":{"observed_at":"2026-08-12T14:57:46.827556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14376","snapshot_observed_at":"2026-08-10T22:49:15.839992Z","title":"Beyond the spectrum: Detecting deepfakes via re-synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00700","last_updated":"2025-01-14T09:04:35Z","snapshot_observed_at":"2026-08-12T13:50:38.406049Z","submitted_at":"2025-01-01T02:18:18Z","title":"Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:49:15.839992Z"},"links":{"cited_paper":"/paper/2105.14376","citing_paper":"/paper/2501.00700"},"observation_digest":"sha256:716d841ffa6b7bd48d30471ea3e9b5563126bddda26287e40a19b3ef31e95bae","observation_id":"a227ab89-2bbf-4371-a435-b3eb25c40f54","resolution":{"observed_at":"2026-08-10T22:49:15.839992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14376","snapshot_observed_at":"2026-08-07T10:31:25.658604Z","title":"Beyond the spectrum: Detecting deepfakes via re-synthesis.ArXiv, abs/2105.14376, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05119","last_updated":"2025-06-05T15:06:16Z","snapshot_observed_at":"2026-08-15T13:05:02.417600Z","submitted_at":"2025-06-05T15:06:16Z","title":"Practical Manipulation Model for Robust Deepfake Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:31:25.658604Z"},"links":{"cited_paper":"/paper/2105.14376","citing_paper":"/paper/2506.05119"},"observation_digest":"sha256:de38a01cbdeeb577f9f5f6de17e4f1e6cc51a3ffc77a426642909eab47f4838f","observation_id":"e7dccb3b-456a-40b6-9f7c-857b461a444a","resolution":{"observed_at":"2026-08-07T10:31:25.658604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","version":1},"cited_work":{"arxiv_id":"2105.14376","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.14376","snapshot_observed_at":"2026-06-28T23:22:46.772634Z","title":"arXiv preprint arXiv:2105.14376 (2021)","venue":null,"work_id":"94bbf146-f656-4537-a57d-199d425523c6","year":2021},"citing_paper":{"arxiv_id":"2604.04608","last_updated":"2026-04-06T11:50:29Z","snapshot_observed_at":"2026-08-16T13:44:25.200382Z","submitted_at":"2026-04-06T11:50:29Z","title":"Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:34.752473Z"},"links":{"cited_paper":"/paper/2105.14376","citing_paper":"/paper/2604.04608"},"observation_digest":"sha256:7eb9199e0c45efd9e743f6ae9cc5829284ff31d7092c1201c6eb5c36cb54864d","observation_id":"b57858f3-e943-420f-81ba-c95be44327fe","resolution":{"observed_at":"2026-05-10T23:45:53.285880Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","version":1},"cited_work":{"arxiv_id":"2105.14376","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.14376","snapshot_observed_at":"2026-06-28T23:22:46.772634Z","title":"arXiv preprint arXiv:2105.14376 (2021)","venue":null,"work_id":"94bbf146-f656-4537-a57d-199d425523c6","year":2021},"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":22,"source":"pdf_text","source_observed_at":"2026-06-28T23:19:55.111556Z"},"links":{"cited_paper":"/paper/2105.14376","citing_paper":"/paper/2605.31192"},"observation_digest":"sha256:66f5cec87b0bdf1a8a90f4bc46e632035833652d9a91b594383521de5648e8b9","observation_id":"5e9fa5d4-323b-45d9-93ab-1723ab3942a8","resolution":{"observed_at":"2026-06-28T23:22:46.774480Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2105.14376/citation-record","integrity":"/paper/2105.14376/integrity","json":"/paper/2105.14376/citation-record.json","paper":"/paper/2105.14376"},"outbound":[],"paper":{"arxiv_id":"2105.14376","last_updated":"2021-05-29T21:22:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T07:57:10.262724Z","submitted_at":"2021-05-29T21:22:24Z","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.14376."}