{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:BRHABJKALVUVMYV4MPYY6QELOS","short_pith_number":"pith:BRHABJKA","schema_version":"1.0","canonical_sha256":"0c4e00a5405d695662bc63f18f408b74b787087fc4f852fe652b069cfab08f8d","source":{"kind":"arxiv","id":"2512.04331","version":2},"attestation_state":"computed","paper":{"title":"Open Set Face Forgery Detection via Dual-Level Evidence Collection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bryce Gernon, Matthew Wright, Wentao Bao, Yifan Li, Yu Kong, Zhongyi Cai","submitted_at":"2025-12-03T23:40:12Z","abstract_excerpt":"The surge in face forgeries has increasingly undermined confidence in the authenticity of online content. As generation algorithms rapidly evolve, new fake categories will constantly emerge, severely challenging existing face forgery detection methods. Although face forgery detection has recently improved, current techniques remain largely confined to binary Real-vs-Fake classification or the recognition of known fake categories. Moreover, they fail to identify the emergence of entirely new forgery methods. In this work, we study the Open Set Face Forgery Detection (OSFFD) problem, which requi"},"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":"2512.04331","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-12-03T23:40:12Z","cross_cats_sorted":[],"title_canon_sha256":"92ae9fa9d67d8692c7e68b151aaffa5895c7a1a508febef16b57101d0521cfcc","abstract_canon_sha256":"ac22a48c2f38a48b687e3c2e0806b09a52cd7707704345600e7cc7dd926dd6af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:59.811927Z","signature_b64":"bRODbChE8SQBbaShiP8aHOdX5U5PXGIJkCoiseJTlRxBz5uMnvdU6YTkjmKpPHOFu1Q6w1qU8zyxGWYZEXcKBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c4e00a5405d695662bc63f18f408b74b787087fc4f852fe652b069cfab08f8d","last_reissued_at":"2026-05-20T00:02:59.811021Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:59.811021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Open Set Face Forgery Detection via Dual-Level Evidence Collection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bryce Gernon, Matthew Wright, Wentao Bao, Yifan Li, Yu Kong, Zhongyi Cai","submitted_at":"2025-12-03T23:40:12Z","abstract_excerpt":"The surge in face forgeries has increasingly undermined confidence in the authenticity of online content. As generation algorithms rapidly evolve, new fake categories will constantly emerge, severely challenging existing face forgery detection methods. Although face forgery detection has recently improved, current techniques remain largely confined to binary Real-vs-Fake classification or the recognition of known fake categories. Moreover, they fail to identify the emergence of entirely new forgery methods. In this work, we study the Open Set Face Forgery Detection (OSFFD) problem, which requi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.04331","kind":"arxiv","version":2},"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/2512.04331/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":"2512.04331","created_at":"2026-05-20T00:02:59.811220+00:00"},{"alias_kind":"arxiv_version","alias_value":"2512.04331v2","created_at":"2026-05-20T00:02:59.811220+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.04331","created_at":"2026-05-20T00:02:59.811220+00:00"},{"alias_kind":"pith_short_12","alias_value":"BRHABJKALVUV","created_at":"2026-05-20T00:02:59.811220+00:00"},{"alias_kind":"pith_short_16","alias_value":"BRHABJKALVUVMYV4","created_at":"2026-05-20T00:02:59.811220+00:00"},{"alias_kind":"pith_short_8","alias_value":"BRHABJKA","created_at":"2026-05-20T00:02:59.811220+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/BRHABJKALVUVMYV4MPYY6QELOS","json":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS.json","graph_json":"https://pith.science/api/pith-number/BRHABJKALVUVMYV4MPYY6QELOS/graph.json","events_json":"https://pith.science/api/pith-number/BRHABJKALVUVMYV4MPYY6QELOS/events.json","paper":"https://pith.science/paper/BRHABJKA"},"agent_actions":{"view_html":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS","download_json":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS.json","view_paper":"https://pith.science/paper/BRHABJKA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2512.04331&json=true","fetch_graph":"https://pith.science/api/pith-number/BRHABJKALVUVMYV4MPYY6QELOS/graph.json","fetch_events":"https://pith.science/api/pith-number/BRHABJKALVUVMYV4MPYY6QELOS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS/action/storage_attestation","attest_author":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS/action/author_attestation","sign_citation":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS/action/citation_signature","submit_replication":"https://pith.science/pith/BRHABJKALVUVMYV4MPYY6QELOS/action/replication_record"}},"created_at":"2026-05-20T00:02:59.811220+00:00","updated_at":"2026-05-20T00:02:59.811220+00:00"}