{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:77OVGIP46WF6XU3HRJYOOF3PQD","short_pith_number":"pith:77OVGIP4","canonical_record":{"source":{"id":"2606.00101","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T03:18:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"47867fefb263332ff055000353cda6d3bcc9a45018879de25243fd81ab477dab","abstract_canon_sha256":"b9b965c727fe7a456ba3c75e4dbd1a15ab2c4f2083dcab7f287df39ec08ea828"},"schema_version":"1.0"},"canonical_sha256":"ffdd5321fcf58bebd3678a70e7176f80c4be5308adeb7711099eb809e80a9d03","source":{"kind":"arxiv","id":"2606.00101","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00101","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00101v1","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00101","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_12","alias_value":"77OVGIP46WF6","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_16","alias_value":"77OVGIP46WF6XU3H","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_8","alias_value":"77OVGIP4","created_at":"2026-06-02T00:03:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:77OVGIP46WF6XU3HRJYOOF3PQD","target":"record","payload":{"canonical_record":{"source":{"id":"2606.00101","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T03:18:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"47867fefb263332ff055000353cda6d3bcc9a45018879de25243fd81ab477dab","abstract_canon_sha256":"b9b965c727fe7a456ba3c75e4dbd1a15ab2c4f2083dcab7f287df39ec08ea828"},"schema_version":"1.0"},"canonical_sha256":"ffdd5321fcf58bebd3678a70e7176f80c4be5308adeb7711099eb809e80a9d03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T00:03:15.037566Z","signature_b64":"mrlDEflZ1hEv/i36Oq1hdMtWeu524ckvGWpDxDiAw1RBtY/B4p3iW/O5Vyz2AibHu+h0NhKwXUrI8VityNQlDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffdd5321fcf58bebd3678a70e7176f80c4be5308adeb7711099eb809e80a9d03","last_reissued_at":"2026-06-02T00:03:15.037068Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T00:03:15.037068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.00101","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":"2026-06-02T00:03:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JivVrri04Dnms8wSKksD8PrT1pVHA67pWvUG8R5NdWTcWvq4Egh6qvwMxkS1Z8SAPxgdK+mpKLBzwR2FDuMfDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T20:10:56.159298Z"},"content_sha256":"1f54a05ab558a2fbc59dec6b8b76f3ad1a5401361306bead1134fe9fb3fa0419","schema_version":"1.0","event_id":"sha256:1f54a05ab558a2fbc59dec6b8b76f3ad1a5401361306bead1134fe9fb3fa0419"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:77OVGIP46WF6XU3HRJYOOF3PQD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Huidong Feng, Jie Chen, Ming Zeng, Ruolong Ma, Wentao Chen, Xinqi Cai, Yinglin Zheng, Yuxin Lin","submitted_at":"2026-05-26T03:18:44Z","abstract_excerpt":"With the rapid advancement of artificial intelligence generated content (AIGC) technologies, video forgery has become increasingly prevalent, posing new challenges to public discourse and societal security. Despite remarkable progress in existing deepfake detection methods, AIGC forgery detection remains challenging, as existing datasets mainly rely on open-source video generation models with quality far below that of commercial AIGC systems. Even datasets containing a few commercial samples often retain visible watermarks, compromising authenticity and hindering model generalization to high-f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00101","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/2606.00101/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":"2026-06-02T00:03:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e4UvYoXy7qGXbyWp6ez5lFN3JY76PzXIhxpDVivpoWBE0Pn3XpjRoc+6yRixMNoYEoy5pxOFpjC0nVBBmtqOAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T20:10:56.159695Z"},"content_sha256":"2a8cf5a56e13936ff78ca5c4701793242ff655c1582c3895d073041fa41378b3","schema_version":"1.0","event_id":"sha256:2a8cf5a56e13936ff78ca5c4701793242ff655c1582c3895d073041fa41378b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/77OVGIP46WF6XU3HRJYOOF3PQD/bundle.json","state_url":"https://pith.science/pith/77OVGIP46WF6XU3HRJYOOF3PQD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/77OVGIP46WF6XU3HRJYOOF3PQD/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":"2026-06-04T20:10:56Z","links":{"resolver":"https://pith.science/pith/77OVGIP46WF6XU3HRJYOOF3PQD","bundle":"https://pith.science/pith/77OVGIP46WF6XU3HRJYOOF3PQD/bundle.json","state":"https://pith.science/pith/77OVGIP46WF6XU3HRJYOOF3PQD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/77OVGIP46WF6XU3HRJYOOF3PQD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:77OVGIP46WF6XU3HRJYOOF3PQD","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":"b9b965c727fe7a456ba3c75e4dbd1a15ab2c4f2083dcab7f287df39ec08ea828","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T03:18:44Z","title_canon_sha256":"47867fefb263332ff055000353cda6d3bcc9a45018879de25243fd81ab477dab"},"schema_version":"1.0","source":{"id":"2606.00101","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00101","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00101v1","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00101","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_12","alias_value":"77OVGIP46WF6","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_16","alias_value":"77OVGIP46WF6XU3H","created_at":"2026-06-02T00:03:15Z"},{"alias_kind":"pith_short_8","alias_value":"77OVGIP4","created_at":"2026-06-02T00:03:15Z"}],"graph_snapshots":[{"event_id":"sha256:2a8cf5a56e13936ff78ca5c4701793242ff655c1582c3895d073041fa41378b3","target":"graph","created_at":"2026-06-02T00:03:15Z","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/2606.00101/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid advancement of artificial intelligence generated content (AIGC) technologies, video forgery has become increasingly prevalent, posing new challenges to public discourse and societal security. Despite remarkable progress in existing deepfake detection methods, AIGC forgery detection remains challenging, as existing datasets mainly rely on open-source video generation models with quality far below that of commercial AIGC systems. Even datasets containing a few commercial samples often retain visible watermarks, compromising authenticity and hindering model generalization to high-f","authors_text":"Huidong Feng, Jie Chen, Ming Zeng, Ruolong Ma, Wentao Chen, Xinqi Cai, Yinglin Zheng, Yuxin Lin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T03:18:44Z","title":"CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00101","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":"sha256:1f54a05ab558a2fbc59dec6b8b76f3ad1a5401361306bead1134fe9fb3fa0419","target":"record","created_at":"2026-06-02T00:03:15Z","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":"b9b965c727fe7a456ba3c75e4dbd1a15ab2c4f2083dcab7f287df39ec08ea828","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T03:18:44Z","title_canon_sha256":"47867fefb263332ff055000353cda6d3bcc9a45018879de25243fd81ab477dab"},"schema_version":"1.0","source":{"id":"2606.00101","kind":"arxiv","version":1}},"canonical_sha256":"ffdd5321fcf58bebd3678a70e7176f80c4be5308adeb7711099eb809e80a9d03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffdd5321fcf58bebd3678a70e7176f80c4be5308adeb7711099eb809e80a9d03","first_computed_at":"2026-06-02T00:03:15.037068Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T00:03:15.037068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mrlDEflZ1hEv/i36Oq1hdMtWeu524ckvGWpDxDiAw1RBtY/B4p3iW/O5Vyz2AibHu+h0NhKwXUrI8VityNQlDQ==","signature_status":"signed_v1","signed_at":"2026-06-02T00:03:15.037566Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00101","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f54a05ab558a2fbc59dec6b8b76f3ad1a5401361306bead1134fe9fb3fa0419","sha256:2a8cf5a56e13936ff78ca5c4701793242ff655c1582c3895d073041fa41378b3"],"state_sha256":"f2c136b1afe8591fc3a711adfee4aff4d310e89dc78c13dd178f1102a695b12a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ACEY+nIeOdh9vIO2QK3SJaU+Z+OIJza2EDxND7uxXaHyFvIa4se9ds/mABvIp2+BQ5/NqPQjp1Rr9iAYL3+kBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T20:10:56.161851Z","bundle_sha256":"e5a9ef41b3e10db115ea46d81e3bae0af4f90630e5e3b6d40984d47198b1783c"}}