{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:DBN2O5KOWUMJB32LG5DRANVYFU","short_pith_number":"pith:DBN2O5KO","schema_version":"1.0","canonical_sha256":"185ba7754eb51890ef4b37471036b82d20440c628b49eb2ee15b622d94753a3e","source":{"kind":"arxiv","id":"1911.07538","version":2},"attestation_state":"computed","paper":{"title":"Finding Missing Children: Aging Deep Face Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anil K. Jain, Debayan Deb, Divyansh Aggarwal","submitted_at":"2019-11-18T10:58:04Z","abstract_excerpt":"Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-progression module that can age-progress deep face features output by any commodity face matcher. For time lapses larger than 10 years (the missing child is found after 10 or more years), the proposed age-progression module improves the closed-set identification accuracy of FaceNet from 40% to 49.56% and CosFace from 56.88% to 61.25% on a child celebrity dataset, namely ITWCC. The proposed method also outperforms sta"},"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":"1911.07538","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-18T10:58:04Z","cross_cats_sorted":[],"title_canon_sha256":"08e758467f1b73349e44d25cf3da7d4ebb78c28382a4527118f7d2d9f0a57fc1","abstract_canon_sha256":"3cd5244a2cc01eb72eec6e39c7a584650feb1b8b7db897f65667464b4c11c538"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:20:21.886893Z","signature_b64":"4yxbBXti0hqlWi/iITINTtL73vZ0k4uX3GYL2rOZ2GFYtFEZ2K7em8bP36ZdRpIP5mQ++Lb9fXtB1biSjHMJBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"185ba7754eb51890ef4b37471036b82d20440c628b49eb2ee15b622d94753a3e","last_reissued_at":"2026-07-05T00:20:21.886508Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:20:21.886508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Finding Missing Children: Aging Deep Face Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anil K. Jain, Debayan Deb, Divyansh Aggarwal","submitted_at":"2019-11-18T10:58:04Z","abstract_excerpt":"Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-progression module that can age-progress deep face features output by any commodity face matcher. For time lapses larger than 10 years (the missing child is found after 10 or more years), the proposed age-progression module improves the closed-set identification accuracy of FaceNet from 40% to 49.56% and CosFace from 56.88% to 61.25% on a child celebrity dataset, namely ITWCC. The proposed method also outperforms sta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.07538","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/1911.07538/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":"1911.07538","created_at":"2026-07-05T00:20:21.886565+00:00"},{"alias_kind":"arxiv_version","alias_value":"1911.07538v2","created_at":"2026-07-05T00:20:21.886565+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.07538","created_at":"2026-07-05T00:20:21.886565+00:00"},{"alias_kind":"pith_short_12","alias_value":"DBN2O5KOWUMJ","created_at":"2026-07-05T00:20:21.886565+00:00"},{"alias_kind":"pith_short_16","alias_value":"DBN2O5KOWUMJB32L","created_at":"2026-07-05T00:20:21.886565+00:00"},{"alias_kind":"pith_short_8","alias_value":"DBN2O5KO","created_at":"2026-07-05T00:20:21.886565+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/DBN2O5KOWUMJB32LG5DRANVYFU","json":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU.json","graph_json":"https://pith.science/api/pith-number/DBN2O5KOWUMJB32LG5DRANVYFU/graph.json","events_json":"https://pith.science/api/pith-number/DBN2O5KOWUMJB32LG5DRANVYFU/events.json","paper":"https://pith.science/paper/DBN2O5KO"},"agent_actions":{"view_html":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU","download_json":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU.json","view_paper":"https://pith.science/paper/DBN2O5KO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1911.07538&json=true","fetch_graph":"https://pith.science/api/pith-number/DBN2O5KOWUMJB32LG5DRANVYFU/graph.json","fetch_events":"https://pith.science/api/pith-number/DBN2O5KOWUMJB32LG5DRANVYFU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU/action/storage_attestation","attest_author":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU/action/author_attestation","sign_citation":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU/action/citation_signature","submit_replication":"https://pith.science/pith/DBN2O5KOWUMJB32LG5DRANVYFU/action/replication_record"}},"created_at":"2026-07-05T00:20:21.886565+00:00","updated_at":"2026-07-05T00:20:21.886565+00:00"}