{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:UPAUUI6QKB5JFCHWDNCTRTKEIZ","short_pith_number":"pith:UPAUUI6Q","schema_version":"1.0","canonical_sha256":"a3c14a23d0507a9288f61b4538cd44467861de0312caff16c0a7eaa151a0e229","source":{"kind":"arxiv","id":"2302.11102","version":2},"attestation_state":"computed","paper":{"title":"Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aman Bhatta, Grace Bezold, Haiyu Wu, Kevin W. Bowyer","submitted_at":"2023-02-22T02:49:21Z","abstract_excerpt":"Face attribute research has so far used only simple binary attributes for facial hair; e.g., beard / no beard. We have created a new, more descriptive facial hair annotation scheme and applied it to create a new facial hair attribute dataset, FH37K. Face attribute research also so far has not dealt with logical consistency and completeness. For example, in prior research, an image might be classified as both having no beard and also having a goatee (a type of beard). We show that the test accuracy of previous classification methods on facial hair attribute classification drops significantly if"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2302.11102","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-22T02:49:21Z","cross_cats_sorted":[],"title_canon_sha256":"7da54859901febbc4ea0778daffabeacde13e698bf9e84b74f81843dc68e89a9","abstract_canon_sha256":"762ce4dda88961f2b1a4084ffe400d1439e763b13a4f911704f308f290d25083"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:01:17.415150Z","signature_b64":"6hAf/cIP4BLXBkabWH3CJylbdhhTbXJlj1goMgS6W5CwslX90eNEgEBSol6KoknZrtNaYZN4RH09XZPLdb13Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3c14a23d0507a9288f61b4538cd44467861de0312caff16c0a7eaa151a0e229","last_reissued_at":"2026-07-05T06:01:17.414603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:01:17.414603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aman Bhatta, Grace Bezold, Haiyu Wu, Kevin W. Bowyer","submitted_at":"2023-02-22T02:49:21Z","abstract_excerpt":"Face attribute research has so far used only simple binary attributes for facial hair; e.g., beard / no beard. We have created a new, more descriptive facial hair annotation scheme and applied it to create a new facial hair attribute dataset, FH37K. Face attribute research also so far has not dealt with logical consistency and completeness. For example, in prior research, an image might be classified as both having no beard and also having a goatee (a type of beard). We show that the test accuracy of previous classification methods on facial hair attribute classification drops significantly if"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.11102","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.11102/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2302.11102","created_at":"2026-07-05T06:01:17.414663+00:00"},{"alias_kind":"arxiv_version","alias_value":"2302.11102v2","created_at":"2026-07-05T06:01:17.414663+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.11102","created_at":"2026-07-05T06:01:17.414663+00:00"},{"alias_kind":"pith_short_12","alias_value":"UPAUUI6QKB5J","created_at":"2026-07-05T06:01:17.414663+00:00"},{"alias_kind":"pith_short_16","alias_value":"UPAUUI6QKB5JFCHW","created_at":"2026-07-05T06:01:17.414663+00:00"},{"alias_kind":"pith_short_8","alias_value":"UPAUUI6Q","created_at":"2026-07-05T06:01:17.414663+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ","json":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ.json","graph_json":"https://pith.science/api/pith-number/UPAUUI6QKB5JFCHWDNCTRTKEIZ/graph.json","events_json":"https://pith.science/api/pith-number/UPAUUI6QKB5JFCHWDNCTRTKEIZ/events.json","paper":"https://pith.science/paper/UPAUUI6Q"},"agent_actions":{"view_html":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ","download_json":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ.json","view_paper":"https://pith.science/paper/UPAUUI6Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2302.11102&json=true","fetch_graph":"https://pith.science/api/pith-number/UPAUUI6QKB5JFCHWDNCTRTKEIZ/graph.json","fetch_events":"https://pith.science/api/pith-number/UPAUUI6QKB5JFCHWDNCTRTKEIZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ/action/storage_attestation","attest_author":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ/action/author_attestation","sign_citation":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ/action/citation_signature","submit_replication":"https://pith.science/pith/UPAUUI6QKB5JFCHWDNCTRTKEIZ/action/replication_record"}},"created_at":"2026-07-05T06:01:17.414663+00:00","updated_at":"2026-07-05T06:01:17.414663+00:00"}