{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:2WBQ2Y2W3YF4QMUXO7U4FF7P4L","short_pith_number":"pith:2WBQ2Y2W","schema_version":"1.0","canonical_sha256":"d5830d6356de0bc8329777e9c297efe2e2fbbb2d6a0766aad9d6f935fa87e0b1","source":{"kind":"arxiv","id":"2401.14322","version":1},"attestation_state":"computed","paper":{"title":"Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CV","authors_text":"Alex Beutel, Aradhana Sinha, Candice Schumann, David Madras, Gbolahan Oluwafemi Olanubi, Hansa Srinivasan, Jilin Chen, Susanna Ricco","submitted_at":"2024-01-25T17:19:22Z","abstract_excerpt":"Capturing the diversity of people in images is challenging: recent literature tends to focus on diversifying one or two attributes, requiring expensive attribute labels or building classifiers. We introduce a diverse people image ranking method which more flexibly aligns with human notions of people diversity in a less prescriptive, label-free manner. The Perception-Aligned Text-derived Human representation Space (PATHS) aims to capture all or many relevant features of people-related diversity, and, when used as the representation space in the standard Maximal Marginal Relevance (MMR) ranking "},"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":"2401.14322","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-25T17:19:22Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"1c8fdbbf5289dee5daddc42ca4e68e650ec1bada3c3c4b71d737a57c1531ac38","abstract_canon_sha256":"db96938b4c8664e7a40758bc5198782b055965f1ad606e2a81fae7963869b83c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:37:34.429733Z","signature_b64":"Cl+9ctR6ljJJGfTUtcH+sFgpmOaSdHAh5NA2AuCRo7PpSTwuQIUbFy2jzQTcjarn49nOuS5eBX9xWPZdXhrACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5830d6356de0bc8329777e9c297efe2e2fbbb2d6a0766aad9d6f935fa87e0b1","last_reissued_at":"2026-07-05T07:37:34.429368Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:37:34.429368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CV","authors_text":"Alex Beutel, Aradhana Sinha, Candice Schumann, David Madras, Gbolahan Oluwafemi Olanubi, Hansa Srinivasan, Jilin Chen, Susanna Ricco","submitted_at":"2024-01-25T17:19:22Z","abstract_excerpt":"Capturing the diversity of people in images is challenging: recent literature tends to focus on diversifying one or two attributes, requiring expensive attribute labels or building classifiers. We introduce a diverse people image ranking method which more flexibly aligns with human notions of people diversity in a less prescriptive, label-free manner. The Perception-Aligned Text-derived Human representation Space (PATHS) aims to capture all or many relevant features of people-related diversity, and, when used as the representation space in the standard Maximal Marginal Relevance (MMR) ranking "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.14322","kind":"arxiv","version":1},"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/2401.14322/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":"2401.14322","created_at":"2026-07-05T07:37:34.429423+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.14322v1","created_at":"2026-07-05T07:37:34.429423+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.14322","created_at":"2026-07-05T07:37:34.429423+00:00"},{"alias_kind":"pith_short_12","alias_value":"2WBQ2Y2W3YF4","created_at":"2026-07-05T07:37:34.429423+00:00"},{"alias_kind":"pith_short_16","alias_value":"2WBQ2Y2W3YF4QMUX","created_at":"2026-07-05T07:37:34.429423+00:00"},{"alias_kind":"pith_short_8","alias_value":"2WBQ2Y2W","created_at":"2026-07-05T07:37:34.429423+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/2WBQ2Y2W3YF4QMUXO7U4FF7P4L","json":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L.json","graph_json":"https://pith.science/api/pith-number/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/graph.json","events_json":"https://pith.science/api/pith-number/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/events.json","paper":"https://pith.science/paper/2WBQ2Y2W"},"agent_actions":{"view_html":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L","download_json":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L.json","view_paper":"https://pith.science/paper/2WBQ2Y2W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.14322&json=true","fetch_graph":"https://pith.science/api/pith-number/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/graph.json","fetch_events":"https://pith.science/api/pith-number/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/action/storage_attestation","attest_author":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/action/author_attestation","sign_citation":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/action/citation_signature","submit_replication":"https://pith.science/pith/2WBQ2Y2W3YF4QMUXO7U4FF7P4L/action/replication_record"}},"created_at":"2026-07-05T07:37:34.429423+00:00","updated_at":"2026-07-05T07:37:34.429423+00:00"}