{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NPVX7QPHYLRVSAZTWRWORNOEMT","short_pith_number":"pith:NPVX7QPH","schema_version":"1.0","canonical_sha256":"6beb7fc1e7c2e3590333b46ce8b5c464d45a351f57862e3c0670035a92551a19","source":{"kind":"arxiv","id":"2608.03096","version":1},"attestation_state":"computed","paper":{"title":"FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CR","authors_text":"Delong Ran, Pei Li, Sihan Chen, Tianshuo Cong","submitted_at":"2026-08-04T04:13:31Z","abstract_excerpt":"Recent advances in video generation models have significantly intensified the deepfake threat, yet the current deepfake video detection benchmarks remain underdeveloped. In particular, the effectiveness of image-level detectors in the video domain has not been systematically assessed. To fill this gap, we present FakeI2V-Bench, a benchmark for evaluating state-of-the-art video-level deepfake detectors in challenging scenarios, with a particular focus on systematically assessing the performance of image-level deepfake detectors in the video domain. FakeI2V-Bench comprises 97,548 videos, contain"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.03096","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-04T04:13:31Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"aea0f7b6041b5b4793dbddd531ed0a71e942ed01d80f01f8d4c303a8181d45ed","abstract_canon_sha256":"3dcb817881525d541c9c643097dac1e1af0cbe088626d446d77f3a2a7bd533ca"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T00:45:34.755838Z","signature_b64":"w7Klrs0t1aZw5AVUUYB1XdmAzcSuRgN8SYl6uwzAVzcLb2/mxKQMqTIqkkANYmvQ4orK3KDJTd8GPASNK85hDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6beb7fc1e7c2e3590333b46ce8b5c464d45a351f57862e3c0670035a92551a19","last_reissued_at":"2026-08-05T00:45:34.753227Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T00:45:34.753227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CR","authors_text":"Delong Ran, Pei Li, Sihan Chen, Tianshuo Cong","submitted_at":"2026-08-04T04:13:31Z","abstract_excerpt":"Recent advances in video generation models have significantly intensified the deepfake threat, yet the current deepfake video detection benchmarks remain underdeveloped. In particular, the effectiveness of image-level detectors in the video domain has not been systematically assessed. To fill this gap, we present FakeI2V-Bench, a benchmark for evaluating state-of-the-art video-level deepfake detectors in challenging scenarios, with a particular focus on systematically assessing the performance of image-level deepfake detectors in the video domain. FakeI2V-Bench comprises 97,548 videos, contain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03096","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.03096/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.03096","created_at":"2026-08-05T00:45:34.754228+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.03096v1","created_at":"2026-08-05T00:45:34.754228+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03096","created_at":"2026-08-05T00:45:34.754228+00:00"},{"alias_kind":"pith_short_12","alias_value":"NPVX7QPHYLRV","created_at":"2026-08-05T00:45:34.754228+00:00"},{"alias_kind":"pith_short_16","alias_value":"NPVX7QPHYLRVSAZT","created_at":"2026-08-05T00:45:34.754228+00:00"},{"alias_kind":"pith_short_8","alias_value":"NPVX7QPH","created_at":"2026-08-05T00:45:34.754228+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT","json":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT.json","graph_json":"https://pith.science/api/pith-number/NPVX7QPHYLRVSAZTWRWORNOEMT/graph.json","events_json":"https://pith.science/api/pith-number/NPVX7QPHYLRVSAZTWRWORNOEMT/events.json","paper":"https://pith.science/paper/NPVX7QPH"},"agent_actions":{"view_html":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT","download_json":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT.json","view_paper":"https://pith.science/paper/NPVX7QPH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.03096&json=true","fetch_graph":"https://pith.science/api/pith-number/NPVX7QPHYLRVSAZTWRWORNOEMT/graph.json","fetch_events":"https://pith.science/api/pith-number/NPVX7QPHYLRVSAZTWRWORNOEMT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT/action/storage_attestation","attest_author":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT/action/author_attestation","sign_citation":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT/action/citation_signature","submit_replication":"https://pith.science/pith/NPVX7QPHYLRVSAZTWRWORNOEMT/action/replication_record"}},"created_at":"2026-08-05T00:45:34.754228+00:00","updated_at":"2026-08-05T00:45:34.754228+00:00"}