{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5KRUD4J7YVX6375DIVD2G4RQ3E","short_pith_number":"pith:5KRUD4J7","canonical_record":{"source":{"id":"1811.11945","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-29T03:40:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"93311487a00ef1d25c61e9c038cd498d4c446da5be41f751686331241401a61c","abstract_canon_sha256":"b38341867e91bf35a1c71de3792d29476b7b67ca219d4dadbcd697cae5c33e1a"},"schema_version":"1.0"},"canonical_sha256":"eaa341f13fc56fedffa34547a37230d9267f001767fb132176094cb733aae3d4","source":{"kind":"arxiv","id":"1811.11945","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11945","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11945v1","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11945","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"5KRUD4J7YVX6","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5KRUD4J7YVX6375D","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5KRUD4J7","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5KRUD4J7YVX6375DIVD2G4RQ3E","target":"record","payload":{"canonical_record":{"source":{"id":"1811.11945","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-29T03:40:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"93311487a00ef1d25c61e9c038cd498d4c446da5be41f751686331241401a61c","abstract_canon_sha256":"b38341867e91bf35a1c71de3792d29476b7b67ca219d4dadbcd697cae5c33e1a"},"schema_version":"1.0"},"canonical_sha256":"eaa341f13fc56fedffa34547a37230d9267f001767fb132176094cb733aae3d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:35.038179Z","signature_b64":"T9e+8zzhL1y0HgchAmdiXK68h7J2cSAjsNrhiimUTRGeGTEZw/V9FRqjMxozDzzdJoV1h2Ttof2QN6OzmUIbAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eaa341f13fc56fedffa34547a37230d9267f001767fb132176094cb733aae3d4","last_reissued_at":"2026-05-17T23:59:35.037547Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:35.037547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.11945","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RzuQ8UW9Z6ANlzTyDbJ5tgOycTVd/zRTZhzubmxtIDGRgljf8xtc/LAldHN9/iOUp7M6aMa726iT1OHk7KhCCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:31:13.139327Z"},"content_sha256":"a00696c5598c1c3e2447745189ea37eba897a4dfb69a6034d3064111417faeb0","schema_version":"1.0","event_id":"sha256:a00696c5598c1c3e2447745189ea37eba897a4dfb69a6034d3064111417faeb0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5KRUD4J7YVX6375DIVD2G4RQ3E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fei Li, Hong Yu, Yonghao Jin","submitted_at":"2018-11-29T03:40:55Z","abstract_excerpt":"Hypoglycemia is common and potentially dangerous among those treated for diabetes. Electronic health records (EHRs) are important resources for hypoglycemia surveillance. In this study, we report the development and evaluation of deep learning-based natural language processing systems to automatically detect hypoglycemia events from the EHR narratives. Experts in Public Health annotated 500 EHR notes from patients with diabetes. We used this annotated dataset to train and evaluate HYPE, supervised NLP systems for hypoglycemia detection. In our experiment, the convolutional neural network model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11945","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ajfTiHKrXaDEnKewaHvJ5Sa4fosJhk2PAhMYJOeLN4pz9bzYqm5MOIo4yxyyiYz7Y6NU3DOBXhAdbHS48dJkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:31:13.139701Z"},"content_sha256":"b5b7cc3eeb407c5ae42991f0f2ee600c3bd46dc2ec7f90c923bf122b142bab3d","schema_version":"1.0","event_id":"sha256:b5b7cc3eeb407c5ae42991f0f2ee600c3bd46dc2ec7f90c923bf122b142bab3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/bundle.json","state_url":"https://pith.science/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/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":"2026-06-06T20:31:13Z","links":{"resolver":"https://pith.science/pith/5KRUD4J7YVX6375DIVD2G4RQ3E","bundle":"https://pith.science/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/bundle.json","state":"https://pith.science/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5KRUD4J7YVX6375DIVD2G4RQ3E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5KRUD4J7YVX6375DIVD2G4RQ3E","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":"b38341867e91bf35a1c71de3792d29476b7b67ca219d4dadbcd697cae5c33e1a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-29T03:40:55Z","title_canon_sha256":"93311487a00ef1d25c61e9c038cd498d4c446da5be41f751686331241401a61c"},"schema_version":"1.0","source":{"id":"1811.11945","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11945","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11945v1","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11945","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"5KRUD4J7YVX6","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5KRUD4J7YVX6375D","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5KRUD4J7","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:b5b7cc3eeb407c5ae42991f0f2ee600c3bd46dc2ec7f90c923bf122b142bab3d","target":"graph","created_at":"2026-05-17T23:59:35Z","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":"Hypoglycemia is common and potentially dangerous among those treated for diabetes. Electronic health records (EHRs) are important resources for hypoglycemia surveillance. In this study, we report the development and evaluation of deep learning-based natural language processing systems to automatically detect hypoglycemia events from the EHR narratives. Experts in Public Health annotated 500 EHR notes from patients with diabetes. We used this annotated dataset to train and evaluate HYPE, supervised NLP systems for hypoglycemia detection. In our experiment, the convolutional neural network model","authors_text":"Fei Li, Hong Yu, Yonghao Jin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-29T03:40:55Z","title":"HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11945","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:a00696c5598c1c3e2447745189ea37eba897a4dfb69a6034d3064111417faeb0","target":"record","created_at":"2026-05-17T23:59:35Z","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":"b38341867e91bf35a1c71de3792d29476b7b67ca219d4dadbcd697cae5c33e1a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-29T03:40:55Z","title_canon_sha256":"93311487a00ef1d25c61e9c038cd498d4c446da5be41f751686331241401a61c"},"schema_version":"1.0","source":{"id":"1811.11945","kind":"arxiv","version":1}},"canonical_sha256":"eaa341f13fc56fedffa34547a37230d9267f001767fb132176094cb733aae3d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eaa341f13fc56fedffa34547a37230d9267f001767fb132176094cb733aae3d4","first_computed_at":"2026-05-17T23:59:35.037547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:35.037547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T9e+8zzhL1y0HgchAmdiXK68h7J2cSAjsNrhiimUTRGeGTEZw/V9FRqjMxozDzzdJoV1h2Ttof2QN6OzmUIbAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:35.038179Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.11945","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a00696c5598c1c3e2447745189ea37eba897a4dfb69a6034d3064111417faeb0","sha256:b5b7cc3eeb407c5ae42991f0f2ee600c3bd46dc2ec7f90c923bf122b142bab3d"],"state_sha256":"957caf1ed23f330d3067749ee0d20dfb3f0f2c7a795cc6dad03a533798d30430"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"13U5hISSkm4vVW9lV65BZap+MJXdm8hT6nMCNRuoZnomW/ALSU+4rnjQem+82N+XBmdIBhVgWOuwYOqbTvssAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T20:31:13.141745Z","bundle_sha256":"574ebca34eb27f1455494fbff24b0eb384535d0ba3297a06aed9ca31220c68ca"}}