{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4MN6B5GKIJMP4HVGMSDRRGEWRG","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":"19d431100f5c8f6d27dad038aee946841446541595ac6bea3c1922ef5a7f898e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-05T20:23:14Z","title_canon_sha256":"fc462591e7eeae7dc3caa25d1912f84e8e8f75d77bfb30edc0e846c4d50e6b37"},"schema_version":"1.0","source":{"id":"2505.03012","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03012","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03012v1","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03012","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_12","alias_value":"4MN6B5GKIJMP","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_16","alias_value":"4MN6B5GKIJMP4HVG","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_8","alias_value":"4MN6B5GK","created_at":"2026-07-05T10:58:51Z"}],"graph_snapshots":[{"event_id":"sha256:b1b846df97d4c437cd89ee0a7d17b478116d312109f83edb206e4f85c65a24e1","target":"graph","created_at":"2026-07-05T10:58:51Z","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/2505.03012/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aiming to reduce the computational cost of Softmax in massive label space of Face Recognition (FR) benchmarks, recent studies estimate the output using a subset of identities. Although promising, the association between the computation cost and the number of identities in the dataset remains linear only with a reduced ratio. A shared characteristic among available FR methods is the employment of atomic scalar labels during training. Consequently, the input to label matching is through a dot product between the feature vector of the input and the Softmax centroids. Inspired by generative modeli","authors_text":"Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi, Saeed Ebrahimi, Sahar Rahimi, Srinjoy Das","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-05T20:23:14Z","title":"GIF: Generative Inspiration for Face Recognition at Scale"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03012","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:bcddc7e2f4a9f50df0c567655637776cb9a556d76c379e9aef95b3945924c921","target":"record","created_at":"2026-07-05T10:58:51Z","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":"19d431100f5c8f6d27dad038aee946841446541595ac6bea3c1922ef5a7f898e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-05T20:23:14Z","title_canon_sha256":"fc462591e7eeae7dc3caa25d1912f84e8e8f75d77bfb30edc0e846c4d50e6b37"},"schema_version":"1.0","source":{"id":"2505.03012","kind":"arxiv","version":1}},"canonical_sha256":"e31be0f4ca4258fe1ea6648718989689a028d87b93df32bfcd96cfff4103336c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e31be0f4ca4258fe1ea6648718989689a028d87b93df32bfcd96cfff4103336c","first_computed_at":"2026-07-05T10:58:51.117130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:51.117130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VxHJsCfp/I3eCn38Ds3lwqq5g9oSVwrXNHzJ/GPdmrCfTEY/gkbb+FwkqQTdzV0rkrKitUbQUb/vAngtcihmDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:51.117643Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03012","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bcddc7e2f4a9f50df0c567655637776cb9a556d76c379e9aef95b3945924c921","sha256:b1b846df97d4c437cd89ee0a7d17b478116d312109f83edb206e4f85c65a24e1"],"state_sha256":"1e30962d2d6c895a568f3d9a9cfabf52c70f69e1ba372aed533ae4ab07428382"}