{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3LTLIYSVA6NT7ZXRFU32KW4Q3P","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":"ff52e408c0c42d803150bb7e7cfa7c1fd7a83b1310827c17fa10141162ed7461","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T18:44:10Z","title_canon_sha256":"c28e393da7def0d38ed98e3eb400a140d97a42a4e6eed5a27469fd0d2c443464"},"schema_version":"1.0","source":{"id":"2411.11826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11826","created_at":"2026-07-05T09:37:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11826v1","created_at":"2026-07-05T09:37:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11826","created_at":"2026-07-05T09:37:02Z"},{"alias_kind":"pith_short_12","alias_value":"3LTLIYSVA6NT","created_at":"2026-07-05T09:37:02Z"},{"alias_kind":"pith_short_16","alias_value":"3LTLIYSVA6NT7ZXR","created_at":"2026-07-05T09:37:02Z"},{"alias_kind":"pith_short_8","alias_value":"3LTLIYSV","created_at":"2026-07-05T09:37:02Z"}],"graph_snapshots":[{"event_id":"sha256:7e0ec015c59e016444bc87a4bcb4391e0b358b174b1e1568a58eda99cb2292de","target":"graph","created_at":"2026-07-05T09:37:02Z","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/2411.11826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate and fast recognition of forgeries is an issue of great importance in the fields of artificial intelligence, image processing and object detection. Recognition of forgeries of facial imagery is the process of classifying and defining the faces in it by analyzing real-world facial images. This process is usually accomplished by extracting features from an image, using classifier algorithms, and correctly interpreting the results. Recognizing forgeries of facial imagery correctly can encounter many different challenges. For example, factors such as changing lighting conditions, viewing f","authors_text":"G\\\"unel Jabbarl{\\i}, Murat Kurt","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T18:44:10Z","title":"LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11826","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":"sha256:4edbef26d21c6b2c1d820452e34266a1e1160a2f55b7e27bf0cdb07f593b810d","target":"record","created_at":"2026-07-05T09:37:02Z","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":"ff52e408c0c42d803150bb7e7cfa7c1fd7a83b1310827c17fa10141162ed7461","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T18:44:10Z","title_canon_sha256":"c28e393da7def0d38ed98e3eb400a140d97a42a4e6eed5a27469fd0d2c443464"},"schema_version":"1.0","source":{"id":"2411.11826","kind":"arxiv","version":1}},"canonical_sha256":"dae6b46255079b3fe6f12d37a55b90dbcb4f80c9c8e2548867c822bf2059245a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dae6b46255079b3fe6f12d37a55b90dbcb4f80c9c8e2548867c822bf2059245a","first_computed_at":"2026-07-05T09:37:02.448531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:37:02.448531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D173QTxCdLN2a5lkWrUWW8AWBHi56LuLQCe6OXIAZl9bzMfd8BzCGX7WvtiRhEejMhTl2bY7JQWmYp4S0xkMAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:37:02.450205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4edbef26d21c6b2c1d820452e34266a1e1160a2f55b7e27bf0cdb07f593b810d","sha256:7e0ec015c59e016444bc87a4bcb4391e0b358b174b1e1568a58eda99cb2292de"],"state_sha256":"0bcaf8fa64d65c97cf2ad8e0f290c542e2119f837bac5181976d974e32e30970"}