{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ABM3DDWWJK32XRMJRXAGV754AQ","short_pith_number":"pith:ABM3DDWW","canonical_record":{"source":{"id":"2503.02857","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-04T18:33:22Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"b4632118b104eb49f2671607c85499d1cb76306731a960e0fe33c745e84954d6","abstract_canon_sha256":"c0f30a678b4a0ce6746e36f4a1323654e75a1dd1c852a274418af424cb8d4dfb"},"schema_version":"1.0"},"canonical_sha256":"0059b18ed64ab7abc5898dc06affbc040d3325f3ec473a99d975043d50ff0073","source":{"kind":"arxiv","id":"2503.02857","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.02857","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"arxiv_version","alias_value":"2503.02857v5","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.02857","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_12","alias_value":"ABM3DDWWJK32","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_16","alias_value":"ABM3DDWWJK32XRMJ","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_8","alias_value":"ABM3DDWW","created_at":"2026-05-28T01:04:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ABM3DDWWJK32XRMJRXAGV754AQ","target":"record","payload":{"canonical_record":{"source":{"id":"2503.02857","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-04T18:33:22Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"b4632118b104eb49f2671607c85499d1cb76306731a960e0fe33c745e84954d6","abstract_canon_sha256":"c0f30a678b4a0ce6746e36f4a1323654e75a1dd1c852a274418af424cb8d4dfb"},"schema_version":"1.0"},"canonical_sha256":"0059b18ed64ab7abc5898dc06affbc040d3325f3ec473a99d975043d50ff0073","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:27.132738Z","signature_b64":"9PVOLxXR46RhkffdiFxjtfan7QrLgACS67yQxODZsL/+kPe1YqxdRmtLkLV+JCRnb0PxXYnyhtW8ADp/HXDxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0059b18ed64ab7abc5898dc06affbc040d3325f3ec473a99d975043d50ff0073","last_reissued_at":"2026-05-28T01:04:27.132087Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:27.132087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.02857","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-28T01:04:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iRrrkpyD+UnnRJ0A8GFu/4PR271LzkKcb4NGwrm0+0mfTdcPrEKUDQCOdlxG1oEFR/uwtlB2mHHTVu+S+s5gDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:14:03.091766Z"},"content_sha256":"43de4809fa986a3a53536cafd7a8fd93a55aed2a35ad60c538df3bb09c3670c0","schema_version":"1.0","event_id":"sha256:43de4809fa986a3a53536cafd7a8fd93a55aed2a35ad60c538df3bb09c3670c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ABM3DDWWJK32XRMJRXAGV754AQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CV","authors_text":"Aerin Kim, Arnab Karmakar, Ben Caffee, Changyeon Lee, Emmanuel Tanumihardja, Hannah Lee, Jongwook Choi, Kevin Farhat, Lin Qiu, Nuria Alina Chandra, Oren Etzioni, Ryan Murtfeldt, Sejin Paik","submitted_at":"2025-03-04T18:33:22Z","abstract_excerpt":"In the age of increasingly realistic generative AI, robust deepfake detection is essential for mitigating fraud and disinformation. While many deepfake detectors report high accuracy on academic datasets, we show that these academic benchmarks are out of date and not representative of real-world deepfakes. We introduce Deepfake-Eval-2024, a new deepfake detection benchmark consisting of in-the-wild deepfakes collected from social media and deepfake detection platform users in 2024. Deepfake-Eval-2024 consists of 45 hours of videos, 56.5 hours of audio, and 1,975 images, encompassing the latest"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.02857","kind":"arxiv","version":5},"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/2503.02857/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":"2026-05-28T01:04:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GBLasW8ux92GdjSQCrAQPiX9NclXbz51n/Es2I2vet8rKJ9m7F4YZ2FqxUywURZjIXgv9D2CmM/kBFImEkVPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:14:03.092137Z"},"content_sha256":"131dd9f048f2970a6d3e647367075516061496ce9a621d46d5c639e217dfa288","schema_version":"1.0","event_id":"sha256:131dd9f048f2970a6d3e647367075516061496ce9a621d46d5c639e217dfa288"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ABM3DDWWJK32XRMJRXAGV754AQ/bundle.json","state_url":"https://pith.science/pith/ABM3DDWWJK32XRMJRXAGV754AQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ABM3DDWWJK32XRMJRXAGV754AQ/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":"2026-05-28T12:14:03Z","links":{"resolver":"https://pith.science/pith/ABM3DDWWJK32XRMJRXAGV754AQ","bundle":"https://pith.science/pith/ABM3DDWWJK32XRMJRXAGV754AQ/bundle.json","state":"https://pith.science/pith/ABM3DDWWJK32XRMJRXAGV754AQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ABM3DDWWJK32XRMJRXAGV754AQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ABM3DDWWJK32XRMJRXAGV754AQ","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":"c0f30a678b4a0ce6746e36f4a1323654e75a1dd1c852a274418af424cb8d4dfb","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-04T18:33:22Z","title_canon_sha256":"b4632118b104eb49f2671607c85499d1cb76306731a960e0fe33c745e84954d6"},"schema_version":"1.0","source":{"id":"2503.02857","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.02857","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"arxiv_version","alias_value":"2503.02857v5","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.02857","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_12","alias_value":"ABM3DDWWJK32","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_16","alias_value":"ABM3DDWWJK32XRMJ","created_at":"2026-05-28T01:04:27Z"},{"alias_kind":"pith_short_8","alias_value":"ABM3DDWW","created_at":"2026-05-28T01:04:27Z"}],"graph_snapshots":[{"event_id":"sha256:131dd9f048f2970a6d3e647367075516061496ce9a621d46d5c639e217dfa288","target":"graph","created_at":"2026-05-28T01:04:27Z","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/2503.02857/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the age of increasingly realistic generative AI, robust deepfake detection is essential for mitigating fraud and disinformation. While many deepfake detectors report high accuracy on academic datasets, we show that these academic benchmarks are out of date and not representative of real-world deepfakes. We introduce Deepfake-Eval-2024, a new deepfake detection benchmark consisting of in-the-wild deepfakes collected from social media and deepfake detection platform users in 2024. Deepfake-Eval-2024 consists of 45 hours of videos, 56.5 hours of audio, and 1,975 images, encompassing the latest","authors_text":"Aerin Kim, Arnab Karmakar, Ben Caffee, Changyeon Lee, Emmanuel Tanumihardja, Hannah Lee, Jongwook Choi, Kevin Farhat, Lin Qiu, Nuria Alina Chandra, Oren Etzioni, Ryan Murtfeldt, Sejin Paik","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-04T18:33:22Z","title":"Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.02857","kind":"arxiv","version":5},"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":"sha256:43de4809fa986a3a53536cafd7a8fd93a55aed2a35ad60c538df3bb09c3670c0","target":"record","created_at":"2026-05-28T01:04:27Z","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":"c0f30a678b4a0ce6746e36f4a1323654e75a1dd1c852a274418af424cb8d4dfb","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-04T18:33:22Z","title_canon_sha256":"b4632118b104eb49f2671607c85499d1cb76306731a960e0fe33c745e84954d6"},"schema_version":"1.0","source":{"id":"2503.02857","kind":"arxiv","version":5}},"canonical_sha256":"0059b18ed64ab7abc5898dc06affbc040d3325f3ec473a99d975043d50ff0073","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0059b18ed64ab7abc5898dc06affbc040d3325f3ec473a99d975043d50ff0073","first_computed_at":"2026-05-28T01:04:27.132087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:27.132087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9PVOLxXR46RhkffdiFxjtfan7QrLgACS67yQxODZsL/+kPe1YqxdRmtLkLV+JCRnb0PxXYnyhtW8ADp/HXDxBg==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:27.132738Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.02857","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43de4809fa986a3a53536cafd7a8fd93a55aed2a35ad60c538df3bb09c3670c0","sha256:131dd9f048f2970a6d3e647367075516061496ce9a621d46d5c639e217dfa288"],"state_sha256":"d87263e7091a45cf6293b004cab2b29f4b65678c927d4505df505823711c68fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sGGIuXBb3ZNHVfzLaZu519mnliXcPqUkafrne6iofm3SjTYGWt9v3rncH+eOW9BTKFWUuqwPEpKD6a/5xr1+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:14:03.094115Z","bundle_sha256":"895e8bfe14a219466760f529540af90af6e98c529c32bd5402d64bc503b3ac4a"}}