{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:ZYZQJ3V4LAVA6M6EVTJRTS3QTK","short_pith_number":"pith:ZYZQJ3V4","schema_version":"1.0","canonical_sha256":"ce3304eebc582a0f33c4acd319cb709aa80bca73dc3897710a2ff8d36ca10535","source":{"kind":"arxiv","id":"1405.4394","version":1},"attestation_state":"computed","paper":{"title":"Identification of functionally related enzymes by learning-to-rank methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","q-bio.QM","stat.ML"],"primary_cat":"cs.LG","authors_text":"Antti Airola, Bernard De Baets, Eyke H\\\"ullermeier, Gerhard Klebe, Michiel Stock, Serghei Glinca, Tapio Pahikkala, Thomas Fober, Willem Waegeman","submitted_at":"2014-05-17T13:51:42Z","abstract_excerpt":"Enzyme sequences and structures are routinely used in the biological sciences as queries to search for functionally related enzymes in online databases. To this end, one usually departs from some notion of similarity, comparing two enzymes by looking for correspondences in their sequences, structures or surfaces. For a given query, the search operation results in a ranking of the enzymes in the database, from very similar to dissimilar enzymes, while information about the biological function of annotated database enzymes is ignored.\n  In this work we show that rankings of that kind can be subs"},"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":"1405.4394","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-05-17T13:51:42Z","cross_cats_sorted":["cs.CE","q-bio.QM","stat.ML"],"title_canon_sha256":"c4608fbb12b512f35c20d35f0b34d5fec8a20ee168d6bb8135e964296248e7f9","abstract_canon_sha256":"4332a04c2eedc5995ab617fc835702dc69f6648bbe1074f7cf4200b5d71424a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:41.021587Z","signature_b64":"rguTfGWA+aEFo5IIz5bTlFAvlouJntDKRzR3bjIcCKHkJl+sB5pMLktPmvNdP4UexEbC6abpsyZcJ71W1WaNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce3304eebc582a0f33c4acd319cb709aa80bca73dc3897710a2ff8d36ca10535","last_reissued_at":"2026-05-18T02:51:41.021187Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:41.021187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identification of functionally related enzymes by learning-to-rank methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","q-bio.QM","stat.ML"],"primary_cat":"cs.LG","authors_text":"Antti Airola, Bernard De Baets, Eyke H\\\"ullermeier, Gerhard Klebe, Michiel Stock, Serghei Glinca, Tapio Pahikkala, Thomas Fober, Willem Waegeman","submitted_at":"2014-05-17T13:51:42Z","abstract_excerpt":"Enzyme sequences and structures are routinely used in the biological sciences as queries to search for functionally related enzymes in online databases. To this end, one usually departs from some notion of similarity, comparing two enzymes by looking for correspondences in their sequences, structures or surfaces. For a given query, the search operation results in a ranking of the enzymes in the database, from very similar to dissimilar enzymes, while information about the biological function of annotated database enzymes is ignored.\n  In this work we show that rankings of that kind can be subs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.4394","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":""},"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":"1405.4394","created_at":"2026-05-18T02:51:41.021247+00:00"},{"alias_kind":"arxiv_version","alias_value":"1405.4394v1","created_at":"2026-05-18T02:51:41.021247+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.4394","created_at":"2026-05-18T02:51:41.021247+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZYZQJ3V4LAVA","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZYZQJ3V4LAVA6M6E","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZYZQJ3V4","created_at":"2026-05-18T12:28:59.999130+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/ZYZQJ3V4LAVA6M6EVTJRTS3QTK","json":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK.json","graph_json":"https://pith.science/api/pith-number/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/graph.json","events_json":"https://pith.science/api/pith-number/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/events.json","paper":"https://pith.science/paper/ZYZQJ3V4"},"agent_actions":{"view_html":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK","download_json":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK.json","view_paper":"https://pith.science/paper/ZYZQJ3V4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1405.4394&json=true","fetch_graph":"https://pith.science/api/pith-number/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/graph.json","fetch_events":"https://pith.science/api/pith-number/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/action/storage_attestation","attest_author":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/action/author_attestation","sign_citation":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/action/citation_signature","submit_replication":"https://pith.science/pith/ZYZQJ3V4LAVA6M6EVTJRTS3QTK/action/replication_record"}},"created_at":"2026-05-18T02:51:41.021247+00:00","updated_at":"2026-05-18T02:51:41.021247+00:00"}