{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:LSN3L4IPUIHVFO7NWB5IYPL5GI","short_pith_number":"pith:LSN3L4IP","canonical_record":{"source":{"id":"2010.09394","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2020-10-19T11:31:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c606cd632f5915a356fa7c080eb6329dd7e447b1ca237f711dfb23753084e188","abstract_canon_sha256":"ebdbb01747d645be8750886c0836b9e0e02bc150660b8ee865e524b315ba8c10"},"schema_version":"1.0"},"canonical_sha256":"5c9bb5f10fa20f52bbedb07a8c3d7d321208b9b2c6975033262fad32ab0443f7","source":{"kind":"arxiv","id":"2010.09394","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.09394","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"2010.09394v2","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.09394","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"LSN3L4IPUIHV","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_16","alias_value":"LSN3L4IPUIHVFO7N","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_8","alias_value":"LSN3L4IP","created_at":"2026-07-05T03:02:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:LSN3L4IPUIHVFO7NWB5IYPL5GI","target":"record","payload":{"canonical_record":{"source":{"id":"2010.09394","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2020-10-19T11:31:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c606cd632f5915a356fa7c080eb6329dd7e447b1ca237f711dfb23753084e188","abstract_canon_sha256":"ebdbb01747d645be8750886c0836b9e0e02bc150660b8ee865e524b315ba8c10"},"schema_version":"1.0"},"canonical_sha256":"5c9bb5f10fa20f52bbedb07a8c3d7d321208b9b2c6975033262fad32ab0443f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:02:09.249123Z","signature_b64":"LJw7XUXqejdV4G4Sg6LlWMq/4IHF2xcWzrd2CFdmAqFgCGqw5bgCZ3EpCuaRRzFwNy4RHtYiNM2LRQnJakosAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c9bb5f10fa20f52bbedb07a8c3d7d321208b9b2c6975033262fad32ab0443f7","last_reissued_at":"2026-07-05T03:02:09.248629Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:02:09.248629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.09394","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"skJW3x8+Dy9R0haRS8z0ozKwrXoSPHRvDuxTvbNoFQR9ORA1fjco5i8gY9lQjXPLFKmJ11fi3q++u0iZTS5FBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T21:46:32.154112Z"},"content_sha256":"1bb5ab0d8b09518ec4ee06a49cda9003d29d3be8f2ffc5cad3d55a907eb39001","schema_version":"1.0","event_id":"sha256:1bb5ab0d8b09518ec4ee06a49cda9003d29d3be8f2ffc5cad3d55a907eb39001"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:LSN3L4IPUIHVFO7NWB5IYPL5GI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowledge Graph-based Question Answering with Electronic Health Records","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DB","authors_text":"Edward Choi, Haneol Lee, Jaegul Choo, Junwoo Park, Youngwoo Cho","submitted_at":"2020-10-19T11:31:20Z","abstract_excerpt":"Question Answering (QA) is a widely-used framework for developing and evaluating an intelligent machine. In this light, QA on Electronic Health Records (EHR), namely EHR QA, can work as a crucial milestone towards developing an intelligent agent in healthcare. EHR data are typically stored in a relational database, which can also be converted to a directed acyclic graph, allowing two approaches for EHR QA: Table-based QA and Knowledge Graph-based QA. We hypothesize that the graph-based approach is more suitable for EHR QA as graphs can represent relations between entities and values more natur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.09394","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.09394/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rap2Rd4jqKm78bSaqmtZulPmOTaCjeruv4CpMboD/d/jypOd9Q4OuMVYFDUa1G61drGk/nXOitPOV1sIkPBrBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T21:46:32.154632Z"},"content_sha256":"1afae680d9e475081914da7afb3addaa33eb4a0c4d522d70cf115ec97bdaf9fd","schema_version":"1.0","event_id":"sha256:1afae680d9e475081914da7afb3addaa33eb4a0c4d522d70cf115ec97bdaf9fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/bundle.json","state_url":"https://pith.science/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T21:46:32Z","links":{"resolver":"https://pith.science/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI","bundle":"https://pith.science/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/bundle.json","state":"https://pith.science/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSN3L4IPUIHVFO7NWB5IYPL5GI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LSN3L4IPUIHVFO7NWB5IYPL5GI","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":"ebdbb01747d645be8750886c0836b9e0e02bc150660b8ee865e524b315ba8c10","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2020-10-19T11:31:20Z","title_canon_sha256":"c606cd632f5915a356fa7c080eb6329dd7e447b1ca237f711dfb23753084e188"},"schema_version":"1.0","source":{"id":"2010.09394","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.09394","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"2010.09394v2","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.09394","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"LSN3L4IPUIHV","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_16","alias_value":"LSN3L4IPUIHVFO7N","created_at":"2026-07-05T03:02:09Z"},{"alias_kind":"pith_short_8","alias_value":"LSN3L4IP","created_at":"2026-07-05T03:02:09Z"}],"graph_snapshots":[{"event_id":"sha256:1afae680d9e475081914da7afb3addaa33eb4a0c4d522d70cf115ec97bdaf9fd","target":"graph","created_at":"2026-07-05T03:02:09Z","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/2010.09394/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Question Answering (QA) is a widely-used framework for developing and evaluating an intelligent machine. In this light, QA on Electronic Health Records (EHR), namely EHR QA, can work as a crucial milestone towards developing an intelligent agent in healthcare. EHR data are typically stored in a relational database, which can also be converted to a directed acyclic graph, allowing two approaches for EHR QA: Table-based QA and Knowledge Graph-based QA. We hypothesize that the graph-based approach is more suitable for EHR QA as graphs can represent relations between entities and values more natur","authors_text":"Edward Choi, Haneol Lee, Jaegul Choo, Junwoo Park, Youngwoo Cho","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2020-10-19T11:31:20Z","title":"Knowledge Graph-based Question Answering with Electronic Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.09394","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":"sha256:1bb5ab0d8b09518ec4ee06a49cda9003d29d3be8f2ffc5cad3d55a907eb39001","target":"record","created_at":"2026-07-05T03:02:09Z","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":"ebdbb01747d645be8750886c0836b9e0e02bc150660b8ee865e524b315ba8c10","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2020-10-19T11:31:20Z","title_canon_sha256":"c606cd632f5915a356fa7c080eb6329dd7e447b1ca237f711dfb23753084e188"},"schema_version":"1.0","source":{"id":"2010.09394","kind":"arxiv","version":2}},"canonical_sha256":"5c9bb5f10fa20f52bbedb07a8c3d7d321208b9b2c6975033262fad32ab0443f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c9bb5f10fa20f52bbedb07a8c3d7d321208b9b2c6975033262fad32ab0443f7","first_computed_at":"2026-07-05T03:02:09.248629Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:02:09.248629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LJw7XUXqejdV4G4Sg6LlWMq/4IHF2xcWzrd2CFdmAqFgCGqw5bgCZ3EpCuaRRzFwNy4RHtYiNM2LRQnJakosAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:02:09.249123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.09394","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bb5ab0d8b09518ec4ee06a49cda9003d29d3be8f2ffc5cad3d55a907eb39001","sha256:1afae680d9e475081914da7afb3addaa33eb4a0c4d522d70cf115ec97bdaf9fd"],"state_sha256":"7218de63bc3a14e82866fbfdb08f825ba7ac433a92bd6a6483853e8093223e36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"irqdadNHIwwoQGDUO8a8viOnz6Ikhc6PPUzHbBj0JsZd7s7uclvsiQK+6qS16FFy5eaO7Ay4af0g3VcL9qk2Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T21:46:32.157006Z","bundle_sha256":"bdb5fd3fd7ff694a0a84df2d8d4c8a997b17a528e615fc7912934a161fdbadfd"}}