{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4X5VARO3Q2BPI3E57H7I4FAGAC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2dc1abcbc7ee31091eee5e4c53080ab7a90fd5fa8946a2f6319dd8e23c8a8a20","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-20T08:29:22Z","title_canon_sha256":"8f90a464a353746d90fb23f0d416c905ac0e1f7a9ceb69d7e472db8291979e7f"},"schema_version":"1.0","source":{"id":"2309.11132","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.11132","created_at":"2026-07-05T06:52:50Z"},{"alias_kind":"arxiv_version","alias_value":"2309.11132v1","created_at":"2026-07-05T06:52:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.11132","created_at":"2026-07-05T06:52:50Z"},{"alias_kind":"pith_short_12","alias_value":"4X5VARO3Q2BP","created_at":"2026-07-05T06:52:50Z"},{"alias_kind":"pith_short_16","alias_value":"4X5VARO3Q2BPI3E5","created_at":"2026-07-05T06:52:50Z"},{"alias_kind":"pith_short_8","alias_value":"4X5VARO3","created_at":"2026-07-05T06:52:50Z"}],"graph_snapshots":[{"event_id":"sha256:e9489e311e45a569895d4870757533f5c3abf5ce09d13a653410bfdb89bf409e","target":"graph","created_at":"2026-07-05T06:52:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2309.11132/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The challenge in sourcing attribution for forgery faces has gained widespread attention due to the rapid development of generative techniques. While many recent works have taken essential steps on GAN-generated faces, more threatening attacks related to identity swapping or expression transferring are still overlooked. And the forgery traces hidden in unknown attacks from the open-world unlabeled faces still remain under-explored. To push the related frontier research, we introduce a new benchmark called Open-World DeepFake Attribution (OW-DFA), which aims to evaluate attribution performance a","authors_text":"Bangjie Yin, Lizhuang Ma, Ran Yi, Shen Chen, Shouhong Ding, Taiping Yao, Zhimin Sun","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-20T08:29:22Z","title":"Contrastive Pseudo Learning for Open-World DeepFake Attribution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.11132","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3f02fe5a0cdf7ce3a1fc100b0d824ab8c5b1b2c9bfbf89f583f64bd5e9102a08","target":"record","created_at":"2026-07-05T06:52:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2dc1abcbc7ee31091eee5e4c53080ab7a90fd5fa8946a2f6319dd8e23c8a8a20","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-20T08:29:22Z","title_canon_sha256":"8f90a464a353746d90fb23f0d416c905ac0e1f7a9ceb69d7e472db8291979e7f"},"schema_version":"1.0","source":{"id":"2309.11132","kind":"arxiv","version":1}},"canonical_sha256":"e5fb5045db8682f46c9df9fe8e1406008c0f24e4e8d14243711d69dbf7cecce7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5fb5045db8682f46c9df9fe8e1406008c0f24e4e8d14243711d69dbf7cecce7","first_computed_at":"2026-07-05T06:52:50.674989Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:52:50.674989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8+TvZNCBJOfTDEosRgfxKR8TlyTb+2Fvwg1eIysn9DhfmYW5PtwJvSI37DXvNopbGI0RKGZi5bEu15HSUgfcCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:52:50.675539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.11132","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f02fe5a0cdf7ce3a1fc100b0d824ab8c5b1b2c9bfbf89f583f64bd5e9102a08","sha256:e9489e311e45a569895d4870757533f5c3abf5ce09d13a653410bfdb89bf409e"],"state_sha256":"a7fb68710c6937b75a45044fe88e96db8595541ff14f93c9568ad34987a80894"}