{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OKRC7RHVZSLEWUDM2PXVOQOR6X","short_pith_number":"pith:OKRC7RHV","canonical_record":{"source":{"id":"2407.10550","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T09:00:02Z","cross_cats_sorted":[],"title_canon_sha256":"9eb076bcdcbc80cfb4c02e54b1db6ccf337b3173391fd625fe75ab49b1d6341c","abstract_canon_sha256":"e00fd514d0d253d0bdd00b34588e1c9096826799bec671be0f64312000bff131"},"schema_version":"1.0"},"canonical_sha256":"72a22fc4f5cc964b506cd3ef5741d1f5e15a86a8d9b673f7a0182e2fe4ac9c01","source":{"kind":"arxiv","id":"2407.10550","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10550","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10550v1","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10550","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"OKRC7RHVZSLE","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"OKRC7RHVZSLEWUDM","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"OKRC7RHV","created_at":"2026-07-05T08:44:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OKRC7RHVZSLEWUDM2PXVOQOR6X","target":"record","payload":{"canonical_record":{"source":{"id":"2407.10550","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T09:00:02Z","cross_cats_sorted":[],"title_canon_sha256":"9eb076bcdcbc80cfb4c02e54b1db6ccf337b3173391fd625fe75ab49b1d6341c","abstract_canon_sha256":"e00fd514d0d253d0bdd00b34588e1c9096826799bec671be0f64312000bff131"},"schema_version":"1.0"},"canonical_sha256":"72a22fc4f5cc964b506cd3ef5741d1f5e15a86a8d9b673f7a0182e2fe4ac9c01","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:00.977737Z","signature_b64":"8Awhdij/C3wGPaVLdMZfxk0tb/EEXqCVp9GMkjivppvUy/3lrcrnExaAD7ED9ideHkrb2yRYetab0BcEJQo1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72a22fc4f5cc964b506cd3ef5741d1f5e15a86a8d9b673f7a0182e2fe4ac9c01","last_reissued_at":"2026-07-05T08:44:00.977305Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:00.977305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.10550","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:44:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RhlIr69zQ8twY2cdkNx5wTW+9X6Wf3kWBapl9UBkC/C8ytaYr6z66W4BAwkKmFlmZWk5U8Sub5xhXK3Cs3z2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:44:51.228444Z"},"content_sha256":"fd15bffaf287314fe53ad944994dfb1a7526067e2ba923ebf1048c470edafbad","schema_version":"1.0","event_id":"sha256:fd15bffaf287314fe53ad944994dfb1a7526067e2ba923ebf1048c470edafbad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OKRC7RHVZSLEWUDM2PXVOQOR6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Natural Consistency Representation for Face Forgery Video Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daichi Zhang, Fanzhao Lin, Jianmin Li, Shikun Li, Shiming Ge, Zihao Xiao","submitted_at":"2024-07-15T09:00:02Z","abstract_excerpt":"Face Forgery videos have elicited critical social public concerns and various detectors have been proposed. However, fully-supervised detectors may lead to easily overfitting to specific forgery methods or videos, and existing self-supervised detectors are strict on auxiliary tasks, such as requiring audio or multi-modalities, leading to limited generalization and robustness. In this paper, we examine whether we can address this issue by leveraging visual-only real face videos. To this end, we propose to learn the Natural Consistency representation (NACO) of real face videos in a self-supervis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10550","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/2407.10550/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:44:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sd82Ke6vL2qNEwuy9E51wgdm3zkMNJ3G55t441KKk6gHYOmyGLsisb9keai4UIvJxvy4ohoD+CEwXD7Y3v0DCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:44:51.229406Z"},"content_sha256":"f90af8d68c07c49599fcb005bb68663c0e32bd3aa4aeb5f4af053e87b4eaa1ef","schema_version":"1.0","event_id":"sha256:f90af8d68c07c49599fcb005bb68663c0e32bd3aa4aeb5f4af053e87b4eaa1ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/bundle.json","state_url":"https://pith.science/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T13:44:51Z","links":{"resolver":"https://pith.science/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X","bundle":"https://pith.science/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/bundle.json","state":"https://pith.science/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OKRC7RHVZSLEWUDM2PXVOQOR6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OKRC7RHVZSLEWUDM2PXVOQOR6X","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":"e00fd514d0d253d0bdd00b34588e1c9096826799bec671be0f64312000bff131","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T09:00:02Z","title_canon_sha256":"9eb076bcdcbc80cfb4c02e54b1db6ccf337b3173391fd625fe75ab49b1d6341c"},"schema_version":"1.0","source":{"id":"2407.10550","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10550","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10550v1","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10550","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"OKRC7RHVZSLE","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"OKRC7RHVZSLEWUDM","created_at":"2026-07-05T08:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"OKRC7RHV","created_at":"2026-07-05T08:44:00Z"}],"graph_snapshots":[{"event_id":"sha256:f90af8d68c07c49599fcb005bb68663c0e32bd3aa4aeb5f4af053e87b4eaa1ef","target":"graph","created_at":"2026-07-05T08:44:00Z","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/2407.10550/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Face Forgery videos have elicited critical social public concerns and various detectors have been proposed. However, fully-supervised detectors may lead to easily overfitting to specific forgery methods or videos, and existing self-supervised detectors are strict on auxiliary tasks, such as requiring audio or multi-modalities, leading to limited generalization and robustness. In this paper, we examine whether we can address this issue by leveraging visual-only real face videos. To this end, we propose to learn the Natural Consistency representation (NACO) of real face videos in a self-supervis","authors_text":"Daichi Zhang, Fanzhao Lin, Jianmin Li, Shikun Li, Shiming Ge, Zihao Xiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T09:00:02Z","title":"Learning Natural Consistency Representation for Face Forgery Video Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10550","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:fd15bffaf287314fe53ad944994dfb1a7526067e2ba923ebf1048c470edafbad","target":"record","created_at":"2026-07-05T08:44:00Z","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":"e00fd514d0d253d0bdd00b34588e1c9096826799bec671be0f64312000bff131","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T09:00:02Z","title_canon_sha256":"9eb076bcdcbc80cfb4c02e54b1db6ccf337b3173391fd625fe75ab49b1d6341c"},"schema_version":"1.0","source":{"id":"2407.10550","kind":"arxiv","version":1}},"canonical_sha256":"72a22fc4f5cc964b506cd3ef5741d1f5e15a86a8d9b673f7a0182e2fe4ac9c01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72a22fc4f5cc964b506cd3ef5741d1f5e15a86a8d9b673f7a0182e2fe4ac9c01","first_computed_at":"2026-07-05T08:44:00.977305Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:00.977305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8Awhdij/C3wGPaVLdMZfxk0tb/EEXqCVp9GMkjivppvUy/3lrcrnExaAD7ED9ideHkrb2yRYetab0BcEJQo1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:00.977737Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.10550","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd15bffaf287314fe53ad944994dfb1a7526067e2ba923ebf1048c470edafbad","sha256:f90af8d68c07c49599fcb005bb68663c0e32bd3aa4aeb5f4af053e87b4eaa1ef"],"state_sha256":"f58b4faec65301bbee79089c972ab3b831c1c368a2c851190c5d44e72436664c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ciYAphPemi0bmy5dw98wqf6OQMiu3NfggF5Dx1Nqqj0GCm1JMPEDuXf0wdH7MG88CSnmM2FVbBxJj6q2RSdfDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T13:44:51.235813Z","bundle_sha256":"c06208891cab6c6d1fc7f18a0154bb4f4cf026696b2e10a6e101df5454f707a5"}}