{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:XQHFAOYFXEBG27CDBGUUVIRN2E","short_pith_number":"pith:XQHFAOYF","schema_version":"1.0","canonical_sha256":"bc0e503b05b9026d7c4309a94aa22dd10b369c89128481a1613764e2b732df79","source":{"kind":"arxiv","id":"2412.04737","version":2},"attestation_state":"computed","paper":{"title":"Generative Humanization for Therapeutic Antibodies","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"cs.LG","authors_text":"Aniruddh Raghu, Cade Gordon, Hunter Elliott, Peyton Greenside","submitted_at":"2024-12-06T02:54:45Z","abstract_excerpt":"Antibody therapies have been employed to address some of today's most challenging diseases, but must meet many criteria during drug development before reaching a patient. Humanization is a sequence optimization strategy that addresses one critical risk called immunogenicity - a patient's immune response to the drug - by making an antibody more \"human-like\" in the absence of a predictive lab-based test for immunogenicity. However, existing humanization strategies generally yield very few humanized candidates, which may have degraded biophysical properties or decreased drug efficacy. Here, we re"},"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":"2412.04737","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-06T02:54:45Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"d34661d587c96856f2e581a3c9776e6fabd09904cb253c9252d12f54d0106ef8","abstract_canon_sha256":"7741d4e593caa1d4195a3f928387dd9b8a1ce9a0b8acef81730a497c7260bfc3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:00.526992Z","signature_b64":"5cDXnbyZei7eG6YZ7qghfiFkqeERaniLnrlf5NbyABkstusTZutx6IBbiAqWFrezmYd5QZpBzXBzQgYJITiBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc0e503b05b9026d7c4309a94aa22dd10b369c89128481a1613764e2b732df79","last_reissued_at":"2026-07-05T09:46:00.526556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:00.526556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generative Humanization for Therapeutic Antibodies","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"cs.LG","authors_text":"Aniruddh Raghu, Cade Gordon, Hunter Elliott, Peyton Greenside","submitted_at":"2024-12-06T02:54:45Z","abstract_excerpt":"Antibody therapies have been employed to address some of today's most challenging diseases, but must meet many criteria during drug development before reaching a patient. Humanization is a sequence optimization strategy that addresses one critical risk called immunogenicity - a patient's immune response to the drug - by making an antibody more \"human-like\" in the absence of a predictive lab-based test for immunogenicity. However, existing humanization strategies generally yield very few humanized candidates, which may have degraded biophysical properties or decreased drug efficacy. Here, we re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04737","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/2412.04737/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":"2412.04737","created_at":"2026-07-05T09:46:00.526613+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.04737v2","created_at":"2026-07-05T09:46:00.526613+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04737","created_at":"2026-07-05T09:46:00.526613+00:00"},{"alias_kind":"pith_short_12","alias_value":"XQHFAOYFXEBG","created_at":"2026-07-05T09:46:00.526613+00:00"},{"alias_kind":"pith_short_16","alias_value":"XQHFAOYFXEBG27CD","created_at":"2026-07-05T09:46:00.526613+00:00"},{"alias_kind":"pith_short_8","alias_value":"XQHFAOYF","created_at":"2026-07-05T09:46:00.526613+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/XQHFAOYFXEBG27CDBGUUVIRN2E","json":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E.json","graph_json":"https://pith.science/api/pith-number/XQHFAOYFXEBG27CDBGUUVIRN2E/graph.json","events_json":"https://pith.science/api/pith-number/XQHFAOYFXEBG27CDBGUUVIRN2E/events.json","paper":"https://pith.science/paper/XQHFAOYF"},"agent_actions":{"view_html":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E","download_json":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E.json","view_paper":"https://pith.science/paper/XQHFAOYF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.04737&json=true","fetch_graph":"https://pith.science/api/pith-number/XQHFAOYFXEBG27CDBGUUVIRN2E/graph.json","fetch_events":"https://pith.science/api/pith-number/XQHFAOYFXEBG27CDBGUUVIRN2E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E/action/storage_attestation","attest_author":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E/action/author_attestation","sign_citation":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E/action/citation_signature","submit_replication":"https://pith.science/pith/XQHFAOYFXEBG27CDBGUUVIRN2E/action/replication_record"}},"created_at":"2026-07-05T09:46:00.526613+00:00","updated_at":"2026-07-05T09:46:00.526613+00:00"}