{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:SI5Q6SGHGXJVQUUIN5IEXMVRGT","short_pith_number":"pith:SI5Q6SGH","canonical_record":{"source":{"id":"1904.03225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T18:33:22Z","cross_cats_sorted":[],"title_canon_sha256":"8a334fac28b31978b640a41ac6ff1fb16b6483cbdffb41cd315fb259e536a2f2","abstract_canon_sha256":"9276d6a78e964e882bb77f8cb0d00233f008e78d5af1be9b7a0bd6e5bc7fd48c"},"schema_version":"1.0"},"canonical_sha256":"923b0f48c735d35852886f504bb2b134f5d97d7a17644ac416b59e34464e5d42","source":{"kind":"arxiv","id":"1904.03225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03225","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03225v1","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03225","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"pith_short_12","alias_value":"SI5Q6SGHGXJV","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SI5Q6SGHGXJVQUUI","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SI5Q6SGH","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:SI5Q6SGHGXJVQUUIN5IEXMVRGT","target":"record","payload":{"canonical_record":{"source":{"id":"1904.03225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T18:33:22Z","cross_cats_sorted":[],"title_canon_sha256":"8a334fac28b31978b640a41ac6ff1fb16b6483cbdffb41cd315fb259e536a2f2","abstract_canon_sha256":"9276d6a78e964e882bb77f8cb0d00233f008e78d5af1be9b7a0bd6e5bc7fd48c"},"schema_version":"1.0"},"canonical_sha256":"923b0f48c735d35852886f504bb2b134f5d97d7a17644ac416b59e34464e5d42","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:14.164147Z","signature_b64":"v/i/jZC2gmT3hHD1IzfSP6byLij4/vU562v492DdWkSHiNcGXci2r2Tv8g57oc3Km3O4ZLDyf6MqWL9+0pHiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"923b0f48c735d35852886f504bb2b134f5d97d7a17644ac416b59e34464e5d42","last_reissued_at":"2026-05-17T23:49:14.163434Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:14.163434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.03225","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":"2026-05-17T23:49:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L1bYo22+XcN8ybn1/K0+M6dW91hsmWBnUg4DRh4/9aJEWOEcxmyAf71Rh89rgEHwFpjsAkomx+4d+NLkBJsyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:17:59.390802Z"},"content_sha256":"70ae48f8c88f93adecdc624b643c8abdb0f67a2359c4f1e5055e775f561a11d5","schema_version":"1.0","event_id":"sha256:70ae48f8c88f93adecdc624b643c8abdb0f67a2359c4f1e5055e775f561a11d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:SI5Q6SGHGXJVQUUIN5IEXMVRGT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Eben Holderness, James Pustejovsky, Kirsten Bolton, Mei-Hua Hall, Philip Cawkwell","submitted_at":"2019-04-05T18:33:22Z","abstract_excerpt":"Recently natural language processing (NLP) tools have been developed to identify and extract salient risk indicators in electronic health records (EHRs). Sentiment analysis, although widely used in non-medical areas for improving decision making, has been studied minimally in the clinical setting. In this study, we undertook, to our knowledge, the first domain adaptation of sentiment analysis to psychiatric EHRs by defining psychiatric clinical sentiment, performing an annotation project, and evaluating multiple sentence-level sentiment machine learning (ML) models. Results indicate that off-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03225","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":"2026-05-17T23:49:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v2CKsyHbQdouG8SdUe9j6oCjnSdFvhM9d508wjrIM0hY1YVULunrr/AJGkC8xmeNOAw7LqO0Go/0mf5toZs+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:17:59.391516Z"},"content_sha256":"77137435c57190a662fa4ac1d9edee08ddd0f00ce3a3655f0e4c7f23a68943e6","schema_version":"1.0","event_id":"sha256:77137435c57190a662fa4ac1d9edee08ddd0f00ce3a3655f0e4c7f23a68943e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/bundle.json","state_url":"https://pith.science/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/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":"2026-06-10T13:17:59Z","links":{"resolver":"https://pith.science/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT","bundle":"https://pith.science/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/bundle.json","state":"https://pith.science/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SI5Q6SGHGXJVQUUIN5IEXMVRGT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:SI5Q6SGHGXJVQUUIN5IEXMVRGT","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":"9276d6a78e964e882bb77f8cb0d00233f008e78d5af1be9b7a0bd6e5bc7fd48c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T18:33:22Z","title_canon_sha256":"8a334fac28b31978b640a41ac6ff1fb16b6483cbdffb41cd315fb259e536a2f2"},"schema_version":"1.0","source":{"id":"1904.03225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03225","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03225v1","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03225","created_at":"2026-05-17T23:49:14Z"},{"alias_kind":"pith_short_12","alias_value":"SI5Q6SGHGXJV","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SI5Q6SGHGXJVQUUI","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SI5Q6SGH","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:77137435c57190a662fa4ac1d9edee08ddd0f00ce3a3655f0e4c7f23a68943e6","target":"graph","created_at":"2026-05-17T23:49:14Z","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":"Recently natural language processing (NLP) tools have been developed to identify and extract salient risk indicators in electronic health records (EHRs). Sentiment analysis, although widely used in non-medical areas for improving decision making, has been studied minimally in the clinical setting. In this study, we undertook, to our knowledge, the first domain adaptation of sentiment analysis to psychiatric EHRs by defining psychiatric clinical sentiment, performing an annotation project, and evaluating multiple sentence-level sentiment machine learning (ML) models. Results indicate that off-t","authors_text":"Eben Holderness, James Pustejovsky, Kirsten Bolton, Mei-Hua Hall, Philip Cawkwell","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T18:33:22Z","title":"Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03225","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":"sha256:70ae48f8c88f93adecdc624b643c8abdb0f67a2359c4f1e5055e775f561a11d5","target":"record","created_at":"2026-05-17T23:49:14Z","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":"9276d6a78e964e882bb77f8cb0d00233f008e78d5af1be9b7a0bd6e5bc7fd48c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T18:33:22Z","title_canon_sha256":"8a334fac28b31978b640a41ac6ff1fb16b6483cbdffb41cd315fb259e536a2f2"},"schema_version":"1.0","source":{"id":"1904.03225","kind":"arxiv","version":1}},"canonical_sha256":"923b0f48c735d35852886f504bb2b134f5d97d7a17644ac416b59e34464e5d42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"923b0f48c735d35852886f504bb2b134f5d97d7a17644ac416b59e34464e5d42","first_computed_at":"2026-05-17T23:49:14.163434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:14.163434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v/i/jZC2gmT3hHD1IzfSP6byLij4/vU562v492DdWkSHiNcGXci2r2Tv8g57oc3Km3O4ZLDyf6MqWL9+0pHiCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:14.164147Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.03225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70ae48f8c88f93adecdc624b643c8abdb0f67a2359c4f1e5055e775f561a11d5","sha256:77137435c57190a662fa4ac1d9edee08ddd0f00ce3a3655f0e4c7f23a68943e6"],"state_sha256":"6c4f15a25fc29d95af9d72ac41298055b9163a437bb31fd39d8c956cf53971ef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DKO+fSPdB3+yMc4tV5fOVlpDL2j+YjKDt/7WdV5Sw9unV6m33Fr9NRoi/LgHjEr6cW//4bVtWis+LMN0br/XCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T13:17:59.396972Z","bundle_sha256":"c4b3074f7f9d92e64af21b1085187c61784195a1fcc82144ff435e3bfa3765d0"}}