{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EDVXECMJDEBJ74G3XT2CEEFMCO","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":"871ebeb4fab3b04f4382caafd5ae705d8be672b2a28ec8ba0cc9909e60700a86","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T22:03:19Z","title_canon_sha256":"fe1aef8ee2bf148d76fe653d919d2bddc794e1713a3aa1425424e2b166a2e275"},"schema_version":"1.0","source":{"id":"2403.08092","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08092","created_at":"2026-07-05T08:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08092v2","created_at":"2026-07-05T08:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08092","created_at":"2026-07-05T08:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"EDVXECMJDEBJ","created_at":"2026-07-05T08:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"EDVXECMJDEBJ74G3","created_at":"2026-07-05T08:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"EDVXECMJ","created_at":"2026-07-05T08:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:257923380d8713acb41cf2c31dac1ace2ecdfe3f02f5a8f59c227305e0be6b8c","target":"graph","created_at":"2026-07-05T08:06:12Z","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/2403.08092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Through a large-scale study over diverse face images, we show that facial attribute editing using modern generative AI models can severely degrade automated face recognition systems. This degradation persists even with identity-preserving generative models. To mitigate this issue, we propose two novel techniques for local and global attribute editing. We empirically ablate twenty-six facial semantic, demographic and expression-based attributes that have been edited using state-of-the-art generative models, and evaluate them using ArcFace and AdaFace matchers on CelebA, CelebAMaskHQ and LFW dat","authors_text":"Chinmay Hegde, Nasir Memon, Sai Pranaswi Mullangi, Shruti Wagle, Sudipta Banerjee","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T22:03:19Z","title":"Mitigating the Impact of Attribute Editing on Face Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08092","kind":"arxiv","version":2},"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:c7d25c4870d9c038362ba7c88addbfc85ce713d2c166d25307a9251d35d19f16","target":"record","created_at":"2026-07-05T08:06:12Z","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":"871ebeb4fab3b04f4382caafd5ae705d8be672b2a28ec8ba0cc9909e60700a86","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T22:03:19Z","title_canon_sha256":"fe1aef8ee2bf148d76fe653d919d2bddc794e1713a3aa1425424e2b166a2e275"},"schema_version":"1.0","source":{"id":"2403.08092","kind":"arxiv","version":2}},"canonical_sha256":"20eb72098919029ff0dbbcf42210ac13ac1805ef18531c43befc076637deea27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20eb72098919029ff0dbbcf42210ac13ac1805ef18531c43befc076637deea27","first_computed_at":"2026-07-05T08:06:12.668597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:12.668597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RZMQAZ1Aaz2MLtn7ShenPFleYW5Vw62Y6SUxh3mcNKT6QMC40D2L7/Ld/nX+K0aV+6lQ0lqeCsnLYxjdJiC1Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:12.669062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08092","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7d25c4870d9c038362ba7c88addbfc85ce713d2c166d25307a9251d35d19f16","sha256:257923380d8713acb41cf2c31dac1ace2ecdfe3f02f5a8f59c227305e0be6b8c"],"state_sha256":"83b3fc1be6e59a4285ee18b949b1c1d75c62f4568cd9c07f996881fa2c02e225"}