{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MXSNW2IE42AEC3ZJ4YL2ZODXEM","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":"657a36ab0d72d1a2b09b40fbb8f811fb625df101e48fdc8029d68a65426c6e25","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T05:57:06Z","title_canon_sha256":"75c40a8f3c5fa8917443826aecbbf7731c13f1d2a90cd25e07b5c6ffa4cae38a"},"schema_version":"1.0","source":{"id":"2009.07480","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07480","created_at":"2026-07-05T01:35:53Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07480v1","created_at":"2026-07-05T01:35:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07480","created_at":"2026-07-05T01:35:53Z"},{"alias_kind":"pith_short_12","alias_value":"MXSNW2IE42AE","created_at":"2026-07-05T01:35:53Z"},{"alias_kind":"pith_short_16","alias_value":"MXSNW2IE42AEC3ZJ","created_at":"2026-07-05T01:35:53Z"},{"alias_kind":"pith_short_8","alias_value":"MXSNW2IE","created_at":"2026-07-05T01:35:53Z"}],"graph_snapshots":[{"event_id":"sha256:90ba42826039243cb6820dcac8b2c23d1b31bce2c14fd6f362d058cb0dfda4ce","target":"graph","created_at":"2026-07-05T01:35:53Z","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/2009.07480/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, deep learning-based video manipulation methods have become widely accessible to masses. With little to no effort, people can easily learn how to generate deepfake videos with only a few victims or target images. This creates a significant social problem for everyone whose photos are publicly available on the Internet, especially on social media websites. Several deep learning-based detection methods have been developed to identify these deepfakes. However, these methods lack generalizability, because they perform well only for a specific type of deepfake method. Therefore, tho","authors_text":"Sangyup Lee, Shahroz Tariq, Simon S. Woo","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T05:57:06Z","title":"A Convolutional LSTM based Residual Network for Deepfake Video Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07480","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":"sha256:846aaaa1e4bb715a24dbd0224922f6e0b10d609579e7606ad651b487af7f3861","target":"record","created_at":"2026-07-05T01:35:53Z","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":"657a36ab0d72d1a2b09b40fbb8f811fb625df101e48fdc8029d68a65426c6e25","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T05:57:06Z","title_canon_sha256":"75c40a8f3c5fa8917443826aecbbf7731c13f1d2a90cd25e07b5c6ffa4cae38a"},"schema_version":"1.0","source":{"id":"2009.07480","kind":"arxiv","version":1}},"canonical_sha256":"65e4db6904e680416f29e617acb8772316f82db2d6277b9d95290a7130fc31e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"65e4db6904e680416f29e617acb8772316f82db2d6277b9d95290a7130fc31e8","first_computed_at":"2026-07-05T01:35:53.038548Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:35:53.038548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZHXCPqOQoJxGDTRNEGx2632p+Ql/d2mMpreUqkSmTQfoquEmsAUFS9Pxo+K0L53LH1hoFKYV+TNaPiQqQzUiCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:35:53.038917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.07480","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:846aaaa1e4bb715a24dbd0224922f6e0b10d609579e7606ad651b487af7f3861","sha256:90ba42826039243cb6820dcac8b2c23d1b31bce2c14fd6f362d058cb0dfda4ce"],"state_sha256":"81bae2aa998bba44523088fcef7d461a98ec8b966d287af7c8028d44df5404f8"}