{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:O5VIF6N45ZBYLSCHNHECBQZPW5","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":"448724f9bcbf90d527a3775405af75650c5eb5258b67ee522f3a95c23318d813","cross_cats_sorted":["cs.AI","cs.IR","cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-04T22:58:29Z","title_canon_sha256":"aec421512d0c8f5e5aaffa80bee1062759dcc53e12c279eb065107930459c549"},"schema_version":"1.0","source":{"id":"1512.01587","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.01587","created_at":"2026-05-18T01:25:10Z"},{"alias_kind":"arxiv_version","alias_value":"1512.01587v1","created_at":"2026-05-18T01:25:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.01587","created_at":"2026-05-18T01:25:10Z"},{"alias_kind":"pith_short_12","alias_value":"O5VIF6N45ZBY","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"O5VIF6N45ZBYLSCH","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"O5VIF6N4","created_at":"2026-05-18T12:29:34Z"}],"graph_snapshots":[{"event_id":"sha256:605365875948a547417ad4d5021aa82344b2d7435b379c1feb35d32db749ed43","target":"graph","created_at":"2026-05-18T01:25:10Z","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"},"paper":{"abstract_excerpt":"We advance the state of the art in biomolecular interaction extraction with three contributions: (i) We show that deep, Abstract Meaning Representations (AMR) significantly improve the accuracy of a biomolecular interaction extraction system when compared to a baseline that relies solely on surface- and syntax-based features; (ii) In contrast with previous approaches that infer relations on a sentence-by-sentence basis, we expand our framework to enable consistent predictions over sets of sentences (documents); (iii) We further modify and expand a graph kernel learning framework to enable conc","authors_text":"Aram Galstyan, Daniel Marcu, Sahil Garg, Ulf Hermjakob","cross_cats":["cs.AI","cs.IR","cs.IT","cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-04T22:58:29Z","title":"Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.01587","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":"sha256:5cf97adff4a6792b1b02f206cf34e6677becf59735d8b74f71a9b060fd024503","target":"record","created_at":"2026-05-18T01:25:10Z","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":"448724f9bcbf90d527a3775405af75650c5eb5258b67ee522f3a95c23318d813","cross_cats_sorted":["cs.AI","cs.IR","cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-04T22:58:29Z","title_canon_sha256":"aec421512d0c8f5e5aaffa80bee1062759dcc53e12c279eb065107930459c549"},"schema_version":"1.0","source":{"id":"1512.01587","kind":"arxiv","version":1}},"canonical_sha256":"776a82f9bcee4385c84769c820c32fb759d47afcb857e81c7af315ca3fbc4fc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"776a82f9bcee4385c84769c820c32fb759d47afcb857e81c7af315ca3fbc4fc3","first_computed_at":"2026-05-18T01:25:10.854370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:25:10.854370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QaQuN+D6b8shqQnEt+pqc+rq0VQuC8BVjM7Py/onk8V412FlHHnylpM8Ymb9gDWzrD5Vp+mIiwXsa+TotZ/wCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:25:10.854825Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.01587","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5cf97adff4a6792b1b02f206cf34e6677becf59735d8b74f71a9b060fd024503","sha256:605365875948a547417ad4d5021aa82344b2d7435b379c1feb35d32db749ed43"],"state_sha256":"c08da890a6d303e8eb1439ef5222a24f93bd576d7ea6b0e04b9c02cefc317d3c"}