{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OKJG6JWTSHC4GAISCGGPJ3CHJ3","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":"ac80ceefa50caa3296838332bb2120278b1dfb5a1e8e4e136ff3d52fc7482743","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-12-09T11:49:24Z","title_canon_sha256":"cfafb3d3634d036d85ccc469145879d7f5449986780a57d56f2b5b02978fd675"},"schema_version":"1.0","source":{"id":"2512.08508","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.08508","created_at":"2026-05-26T02:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2512.08508v2","created_at":"2026-05-26T02:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.08508","created_at":"2026-05-26T02:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"OKJG6JWTSHC4","created_at":"2026-05-26T02:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"OKJG6JWTSHC4GAIS","created_at":"2026-05-26T02:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"OKJG6JWT","created_at":"2026-05-26T02:05:04Z"}],"graph_snapshots":[{"event_id":"sha256:89b877d60437406dd7ebd8123a1ce7aeeb02edb0b03c29737d50d9161066bbea","target":"graph","created_at":"2026-05-26T02:05:04Z","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/2512.08508/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying enzymes that catalyze target biochemical reactions is a key step in computational enzyme discovery and biocatalyst design. Recent representation-learning methods formulate this problem as enzyme--reaction matching, where paired enzymes and reactions are embedded into a shared space. However, most existing approaches primarily rely on pairwise enzyme--reaction supervision and make limited use of the relationships within reaction sets or enzyme families. This work introduces a multi-alignment contrastive learning framework for biochemical retrieval. The framework jointly models cross","authors_text":"Feng Yu, Gengmo Zhou, Guolin Ke, Wenda Wang, Zhen Wang, Zhewei Wei, Zhifeng Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-12-09T11:49:24Z","title":"Multi-Alignment Contrastive Learning for Enzyme--Reaction Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.08508","kind":"arxiv","version":2},"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":"sha256:825f8b7b29915b5646f5fc680f0dd2230a135cc2efd245fec7c2c67aef98d8e0","target":"record","created_at":"2026-05-26T02:05:04Z","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":"ac80ceefa50caa3296838332bb2120278b1dfb5a1e8e4e136ff3d52fc7482743","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-12-09T11:49:24Z","title_canon_sha256":"cfafb3d3634d036d85ccc469145879d7f5449986780a57d56f2b5b02978fd675"},"schema_version":"1.0","source":{"id":"2512.08508","kind":"arxiv","version":2}},"canonical_sha256":"72926f26d391c5c30112118cf4ec474efccaedd0d66badc6fc1e2a2e08d0da52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72926f26d391c5c30112118cf4ec474efccaedd0d66badc6fc1e2a2e08d0da52","first_computed_at":"2026-05-26T02:05:04.471329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:04.471329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EFj9mcBAzybXBn17/LAGUmXJL1Qfd9hXz13Vx8ieVXm8xRbI7Pz+tG3YOPRE/zEohj6wOjdeaTH8ixj+Y5j9AQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:04.472249Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.08508","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:825f8b7b29915b5646f5fc680f0dd2230a135cc2efd245fec7c2c67aef98d8e0","sha256:89b877d60437406dd7ebd8123a1ce7aeeb02edb0b03c29737d50d9161066bbea"],"state_sha256":"223a546e234dbb98d3da57f1efda7cbefc378a22763d15b414704d4b2cf721f5"}