{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XA42DCAWV4PZO4CF2QTMRXKI6W","short_pith_number":"pith:XA42DCAW","canonical_record":{"source":{"id":"2406.09181","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T14:42:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce8852268febc4ae5411be3cf239f6bfd9489e648db21b53d783bfea08beda3a","abstract_canon_sha256":"10e7a558b4ca04838c5b62232905ceecaaf152a3eecebde4413353b853ef75fe"},"schema_version":"1.0"},"canonical_sha256":"b839a18816af1f977045d426c8dd48f5b067e7628a1b7de146a9a74231a03e0d","source":{"kind":"arxiv","id":"2406.09181","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09181","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09181v2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09181","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_12","alias_value":"XA42DCAWV4PZ","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XA42DCAWV4PZO4CF","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XA42DCAW","created_at":"2026-07-05T08:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XA42DCAWV4PZO4CF2QTMRXKI6W","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09181","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T14:42:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce8852268febc4ae5411be3cf239f6bfd9489e648db21b53d783bfea08beda3a","abstract_canon_sha256":"10e7a558b4ca04838c5b62232905ceecaaf152a3eecebde4413353b853ef75fe"},"schema_version":"1.0"},"canonical_sha256":"b839a18816af1f977045d426c8dd48f5b067e7628a1b7de146a9a74231a03e0d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:31:53.510284Z","signature_b64":"VrY1i1zUBXcukSF635c2xb3DHpu/5tT7ZwrHI9QeCbaPljkJYyqfXkLNkK/BXsW4C1Q7bVjHXQBvv7V/wG/tDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b839a18816af1f977045d426c8dd48f5b067e7628a1b7de146a9a74231a03e0d","last_reissued_at":"2026-07-05T08:31:53.509784Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:31:53.509784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09181","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:31:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UBFL9IwrKBxxWTUg+q4pTY6Uc37kVSdJ0X4oJmpxoeOK2xIkoMU1eWfH506hT8MRXYwHzSV50mc5LU6g+Cc0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T13:03:31.253866Z"},"content_sha256":"ccec0f0aad9289337224857f4b08262daed37d0de75bc62eda03b9f1b83d6efb","schema_version":"1.0","event_id":"sha256:ccec0f0aad9289337224857f4b08262daed37d0de75bc62eda03b9f1b83d6efb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XA42DCAWV4PZO4CF2QTMRXKI6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Large-scale Universal Evaluation Benchmark For Face Forgery Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Erteng Liu, Hengrui Lou, Jie Song, Jinsong Geng, Lechao Cheng, Mingli Song, Yijun Bei, Zunlei Feng","submitted_at":"2024-06-13T14:42:59Z","abstract_excerpt":"With the rapid development of AI-generated content (AIGC) technology, the production of realistic fake facial images and videos that deceive human visual perception has become possible. Consequently, various face forgery detection techniques have been proposed to identify such fake facial content. However, evaluating the effectiveness and generalizability of these detection techniques remains a significant challenge. To address this, we have constructed a large-scale evaluation benchmark called DeepFaceGen, aimed at quantitatively assessing the effectiveness of face forgery detection and facil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09181","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/2406.09181/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":"2026-07-05T08:31:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bWf5pGSpya0cJWAtIsTUI6Zmx04WLp1qCeDdmOgV1X38S998kSGhGSqxKoKcf7bY1vT+BUNsplptapOYzUdLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T13:03:31.254375Z"},"content_sha256":"b0ad48afbfe8641a11eed83def128277ba35ee89d0e0b626f5cd4ceaa1e4dc72","schema_version":"1.0","event_id":"sha256:b0ad48afbfe8641a11eed83def128277ba35ee89d0e0b626f5cd4ceaa1e4dc72"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/bundle.json","state_url":"https://pith.science/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/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":"2026-08-19T13:03:31Z","links":{"resolver":"https://pith.science/pith/XA42DCAWV4PZO4CF2QTMRXKI6W","bundle":"https://pith.science/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/bundle.json","state":"https://pith.science/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XA42DCAWV4PZO4CF2QTMRXKI6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XA42DCAWV4PZO4CF2QTMRXKI6W","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":"10e7a558b4ca04838c5b62232905ceecaaf152a3eecebde4413353b853ef75fe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T14:42:59Z","title_canon_sha256":"ce8852268febc4ae5411be3cf239f6bfd9489e648db21b53d783bfea08beda3a"},"schema_version":"1.0","source":{"id":"2406.09181","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09181","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09181v2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09181","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_12","alias_value":"XA42DCAWV4PZ","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XA42DCAWV4PZO4CF","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XA42DCAW","created_at":"2026-07-05T08:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:b0ad48afbfe8641a11eed83def128277ba35ee89d0e0b626f5cd4ceaa1e4dc72","target":"graph","created_at":"2026-07-05T08:31:53Z","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/2406.09181/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid development of AI-generated content (AIGC) technology, the production of realistic fake facial images and videos that deceive human visual perception has become possible. Consequently, various face forgery detection techniques have been proposed to identify such fake facial content. However, evaluating the effectiveness and generalizability of these detection techniques remains a significant challenge. To address this, we have constructed a large-scale evaluation benchmark called DeepFaceGen, aimed at quantitatively assessing the effectiveness of face forgery detection and facil","authors_text":"Erteng Liu, Hengrui Lou, Jie Song, Jinsong Geng, Lechao Cheng, Mingli Song, Yijun Bei, Zunlei Feng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T14:42:59Z","title":"A Large-scale Universal Evaluation Benchmark For Face Forgery Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09181","kind":"arxiv","version":2},"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:ccec0f0aad9289337224857f4b08262daed37d0de75bc62eda03b9f1b83d6efb","target":"record","created_at":"2026-07-05T08:31:53Z","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":"10e7a558b4ca04838c5b62232905ceecaaf152a3eecebde4413353b853ef75fe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T14:42:59Z","title_canon_sha256":"ce8852268febc4ae5411be3cf239f6bfd9489e648db21b53d783bfea08beda3a"},"schema_version":"1.0","source":{"id":"2406.09181","kind":"arxiv","version":2}},"canonical_sha256":"b839a18816af1f977045d426c8dd48f5b067e7628a1b7de146a9a74231a03e0d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b839a18816af1f977045d426c8dd48f5b067e7628a1b7de146a9a74231a03e0d","first_computed_at":"2026-07-05T08:31:53.509784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:31:53.509784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VrY1i1zUBXcukSF635c2xb3DHpu/5tT7ZwrHI9QeCbaPljkJYyqfXkLNkK/BXsW4C1Q7bVjHXQBvv7V/wG/tDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:31:53.510284Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09181","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccec0f0aad9289337224857f4b08262daed37d0de75bc62eda03b9f1b83d6efb","sha256:b0ad48afbfe8641a11eed83def128277ba35ee89d0e0b626f5cd4ceaa1e4dc72"],"state_sha256":"9dea5428a0af140a9537df9dd45dead8f3e842c1ee441a364cbc0babb3755a60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qb1vjqlqJVzBM0czyKh2Boy+d+5p2wSELxB7/POEbXuqvjltlMmCkrFBgIHWVp2ylH9Mv+EK66St/UeurqeJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T13:03:31.258077Z","bundle_sha256":"67d980aa7fa52b634bc57b3b415cf26289adb3b12f880553553be37d4a69d3aa"}}