{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:S53YVYYDBJXANNWQYDGPZ5Q3GI","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":"35b2c5b8c495229ca14a5fa40585b0aa42a45b9b079711f73aeb2b1a911f3520","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-10-14T00:15:36Z","title_canon_sha256":"68cbeb8df92b105b588a5b98a4b09b180203e965ffe9c51d86fc64b14c1dc260"},"schema_version":"1.0","source":{"id":"2110.07090","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.07090","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"arxiv_version","alias_value":"2110.07090v2","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.07090","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_12","alias_value":"S53YVYYDBJXA","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_16","alias_value":"S53YVYYDBJXANNWQ","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_8","alias_value":"S53YVYYD","created_at":"2026-07-05T04:04:42Z"}],"graph_snapshots":[{"event_id":"sha256:34220485a5d2f3beb4de21190f322b4572dc31f85596d4b67128404d19093b93","target":"graph","created_at":"2026-07-05T04:04:42Z","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/2110.07090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding causal narratives communicated in clinical notes can help make strides towards personalized healthcare. Extracted causal information from clinical notes can be combined with structured EHR data such as patients' demographics, diagnoses, and medications. This will enhance healthcare providers' ability to identify aspects of a patient's story communicated in the clinical notes and help make more informed decisions.\n  In this work, we propose annotation guidelines, develop an annotated corpus and provide baseline scores to identify types and direction of causal relations between a p","authors_text":"Andrew Fano, Bogdan Sacaleanu, Jessica Huber, Md Imbesat Hassan Rizvi, Paige Bartusiak, Vivek Khetan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-10-14T00:15:36Z","title":"MIMICause: Representation and automatic extraction of causal relation types from clinical notes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.07090","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":"sha256:96f89c74cc2ec29c7768a8e3eb546686657842ffc66bfee51db38369cef382ab","target":"record","created_at":"2026-07-05T04:04:42Z","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":"35b2c5b8c495229ca14a5fa40585b0aa42a45b9b079711f73aeb2b1a911f3520","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-10-14T00:15:36Z","title_canon_sha256":"68cbeb8df92b105b588a5b98a4b09b180203e965ffe9c51d86fc64b14c1dc260"},"schema_version":"1.0","source":{"id":"2110.07090","kind":"arxiv","version":2}},"canonical_sha256":"97778ae3030a6e06b6d0c0ccfcf61b321a0e4f2f278f48f2ea9c168d4f5febfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97778ae3030a6e06b6d0c0ccfcf61b321a0e4f2f278f48f2ea9c168d4f5febfd","first_computed_at":"2026-07-05T04:04:42.711391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:04:42.711391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ksCATBOltTfxpgLLqbD0VMiH2V67XIf39kzvo8Pr5Z5bHhxuIzsBTVpE5AxW2EEFl44NEW50iIWWW8YxMhoMDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:04:42.711878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.07090","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96f89c74cc2ec29c7768a8e3eb546686657842ffc66bfee51db38369cef382ab","sha256:34220485a5d2f3beb4de21190f322b4572dc31f85596d4b67128404d19093b93"],"state_sha256":"c71426ee919d0e188aff894f8b36d58bae12c71b1cd6acfc6a2da53741a300a8"}