{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:R3G57OMURUP4KESNOYMEQN3742","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":"8328e04bb7903eced7e53bda51126e71279c8128e50f8459d9a7e22dc57e6d97","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-14T08:12:16Z","title_canon_sha256":"b0b89ab8a95af3449601d0fb9db6efe9df07e9581d568addf2bfaf23f35f5657"},"schema_version":"1.0","source":{"id":"2203.06918","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.06918","created_at":"2026-07-05T04:15:01Z"},{"alias_kind":"arxiv_version","alias_value":"2203.06918v2","created_at":"2026-07-05T04:15:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.06918","created_at":"2026-07-05T04:15:01Z"},{"alias_kind":"pith_short_12","alias_value":"R3G57OMURUP4","created_at":"2026-07-05T04:15:01Z"},{"alias_kind":"pith_short_16","alias_value":"R3G57OMURUP4KESN","created_at":"2026-07-05T04:15:01Z"},{"alias_kind":"pith_short_8","alias_value":"R3G57OMU","created_at":"2026-07-05T04:15:01Z"}],"graph_snapshots":[{"event_id":"sha256:c08d4ede9ce924e022c51f148bb1ce6029662ee298117fe95fcaaee7fa36f6db","target":"graph","created_at":"2026-07-05T04:15:01Z","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/2203.06918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Question Answering on Electronic Health Records (EHR-QA) has a significant impact on the healthcare domain, and it is being actively studied. Previous research on structured EHR-QA focuses on converting natural language queries into query language such as SQL or SPARQL (NLQ2Query), so the problem scope is limited to pre-defined data types by the specific query language. In order to expand the EHR-QA task beyond this limitation to handle multi-modal medical data and solve complex inference in the future, more primitive systemic language is needed. In this paper, we design the program-based mode","authors_text":"Daeyoung Kim, Edward Choi, Seongsu Bae, Seungho Kim","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-14T08:12:16Z","title":"Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.06918","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:a9c35dd59ecb5053c5f0d8f0b1d051d8af297079e8c85f14623d432444a26a7c","target":"record","created_at":"2026-07-05T04:15:01Z","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":"8328e04bb7903eced7e53bda51126e71279c8128e50f8459d9a7e22dc57e6d97","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-14T08:12:16Z","title_canon_sha256":"b0b89ab8a95af3449601d0fb9db6efe9df07e9581d568addf2bfaf23f35f5657"},"schema_version":"1.0","source":{"id":"2203.06918","kind":"arxiv","version":2}},"canonical_sha256":"8ecddfb9948d1fc5124d761848377fe6ae4265081c9888116a645a4322ffe819","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ecddfb9948d1fc5124d761848377fe6ae4265081c9888116a645a4322ffe819","first_computed_at":"2026-07-05T04:15:01.083054Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:15:01.083054Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YRuN1ZnQ/Xd7eRU3OvXz5iNbgS1hRloZk2baeWZfddcrq2SOXmcTnW2mJ6R6JE8Oo+EuH+uzyCKgXqT8uDmqCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:15:01.083502Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.06918","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9c35dd59ecb5053c5f0d8f0b1d051d8af297079e8c85f14623d432444a26a7c","sha256:c08d4ede9ce924e022c51f148bb1ce6029662ee298117fe95fcaaee7fa36f6db"],"state_sha256":"ee7bc76fa7ad7e1ade4638994ea5c4dad901f876894707769f34d7a06251ea0f"}