{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GBAA7IUP3CAS2SRFDWJ32A67TN","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":"92033f4f8ad5ddd2254da388f5e26f9e724745fe853027dcc75ca9b596fc0533","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-24T22:05:52Z","title_canon_sha256":"1e1f2bb87a1f26ed5014bc55f5cfecd66b417e33022e9f2f8297939c18d63f87"},"schema_version":"1.0","source":{"id":"2507.21157","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21157","created_at":"2026-07-05T11:44:32Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21157v1","created_at":"2026-07-05T11:44:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21157","created_at":"2026-07-05T11:44:32Z"},{"alias_kind":"pith_short_12","alias_value":"GBAA7IUP3CAS","created_at":"2026-07-05T11:44:32Z"},{"alias_kind":"pith_short_16","alias_value":"GBAA7IUP3CAS2SRF","created_at":"2026-07-05T11:44:32Z"},{"alias_kind":"pith_short_8","alias_value":"GBAA7IUP","created_at":"2026-07-05T11:44:32Z"}],"graph_snapshots":[{"event_id":"sha256:225d4035e04591aa369e121ef2b6e6fbed8f54e5b260b7d79badb6f0a57683c7","target":"graph","created_at":"2026-07-05T11:44:32Z","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/2507.21157/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic material-posing challenges to digital security, misinformation mitigation, and identity preservation. This systematic review evaluates state-of-the-art deepfake detection methodologies, emphasizing reproducible implementations for transparency and validation. We delineate two core paradigms: (1) detection of fully synthetic media leveraging statistical anomalies and hierarchical feature extraction, and (2) localization of","authors_text":"Amine Bermak, Issa Khalil, Naseem Khan, Tuan Nguyen","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-24T22:05:52Z","title":"Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21157","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:e222f974ddd2a093af407fb909ea33dbe3e3c0f8da532c36856f93915aaa226d","target":"record","created_at":"2026-07-05T11:44:32Z","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":"92033f4f8ad5ddd2254da388f5e26f9e724745fe853027dcc75ca9b596fc0533","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-24T22:05:52Z","title_canon_sha256":"1e1f2bb87a1f26ed5014bc55f5cfecd66b417e33022e9f2f8297939c18d63f87"},"schema_version":"1.0","source":{"id":"2507.21157","kind":"arxiv","version":1}},"canonical_sha256":"30400fa28fd8812d4a251d93bd03df9b702665691f69d4d1153a146fd7c2f904","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30400fa28fd8812d4a251d93bd03df9b702665691f69d4d1153a146fd7c2f904","first_computed_at":"2026-07-05T11:44:32.370985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:32.370985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ykIqP/Y+MRa/Dny2LXTFpTLg0aUtOzuLSEp1YTFTWRcN0Wmjlis2f4lnJ3ith6UTALJnHAs1YwI8MuxA+cn7BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:32.371480Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.21157","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e222f974ddd2a093af407fb909ea33dbe3e3c0f8da532c36856f93915aaa226d","sha256:225d4035e04591aa369e121ef2b6e6fbed8f54e5b260b7d79badb6f0a57683c7"],"state_sha256":"4f7b0b32e806881a3feb241e27a979fa7b7f1b8d5e702b411c9bd75878bb8747"}