{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GYPWNJQA4UK3LO3CZGLCFILSAB","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":"d9b72179ab63d1788d39d2fa78620228871d5e7655be5a3c65ba8de75f1f2451","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2025-05-14T15:00:46Z","title_canon_sha256":"88999ba04538cc94f779f9c7584002083083df2561438eebea77f2e3dcc40dba"},"schema_version":"1.0","source":{"id":"2505.20301","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20301","created_at":"2026-07-05T11:10:11Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20301v1","created_at":"2026-07-05T11:10:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20301","created_at":"2026-07-05T11:10:11Z"},{"alias_kind":"pith_short_12","alias_value":"GYPWNJQA4UK3","created_at":"2026-07-05T11:10:11Z"},{"alias_kind":"pith_short_16","alias_value":"GYPWNJQA4UK3LO3C","created_at":"2026-07-05T11:10:11Z"},{"alias_kind":"pith_short_8","alias_value":"GYPWNJQA","created_at":"2026-07-05T11:10:11Z"}],"graph_snapshots":[{"event_id":"sha256:74ef8a290416eb484eabd38f60b0bad8daf3430f398f3936180dfc9bd072f0f7","target":"graph","created_at":"2026-07-05T11:10:11Z","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/2505.20301/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A pivotal area of research in antibody engineering is to find effective modifications that enhance antibody-antigen binding affinity. Traditional wet-lab experiments assess mutants in a costly and time-consuming manner. Emerging deep learning solutions offer an alternative by modeling antibody structures to predict binding affinity changes. However, they heavily depend on high-quality complex structures, which are frequently unavailable in practice. Therefore, we propose ProtAttBA, a deep learning model that predicts binding affinity changes based solely on the sequence information of antibody","authors_text":"Bingxin Zhou, Chen Liu, Guisheng Fan, Mingchen Li, Wenrui Gou, Yang Tan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2025-05-14T15:00:46Z","title":"Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20301","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:aabe700470cc76e00c2d28de5614a8762a3feaab9e62499e8ae00688ab604f1d","target":"record","created_at":"2026-07-05T11:10:11Z","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":"d9b72179ab63d1788d39d2fa78620228871d5e7655be5a3c65ba8de75f1f2451","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2025-05-14T15:00:46Z","title_canon_sha256":"88999ba04538cc94f779f9c7584002083083df2561438eebea77f2e3dcc40dba"},"schema_version":"1.0","source":{"id":"2505.20301","kind":"arxiv","version":1}},"canonical_sha256":"361f66a600e515b5bb62c99622a172004f7a67b858e17becdaa80c99351ec63b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"361f66a600e515b5bb62c99622a172004f7a67b858e17becdaa80c99351ec63b","first_computed_at":"2026-07-05T11:10:11.012149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:11.012149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XF47CRlq8E5dEVAVRjwto6ShdQxQFxorMZatLmePxCdN4INUA0IMHISdnt0CVeoWBxKN8b3y241/oElj0SLNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:11.012625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20301","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aabe700470cc76e00c2d28de5614a8762a3feaab9e62499e8ae00688ab604f1d","sha256:74ef8a290416eb484eabd38f60b0bad8daf3430f398f3936180dfc9bd072f0f7"],"state_sha256":"462f0628ff36abd845823171c76752fb262373952ed3351ead31c963ef145a1a"}