{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3O3V4GUFQCDH35FMECMJPXLITI","short_pith_number":"pith:3O3V4GUF","canonical_record":{"source":{"id":"1902.09674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-26T00:45:56Z","cross_cats_sorted":[],"title_canon_sha256":"54badb466d16b6e299ec1ffc24c86061f9a208d8a95cb729ed5539d024c2dc18","abstract_canon_sha256":"7c4634adc27715bff44c5c9f0b8762ff95ef18239eef06b88addec987011a8f8"},"schema_version":"1.0"},"canonical_sha256":"dbb75e1a8580867df4ac209897dd689a2e03c96992c2e2410a36ed2a1bc0ae9d","source":{"kind":"arxiv","id":"1902.09674","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.09674","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"arxiv_version","alias_value":"1902.09674v1","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.09674","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"pith_short_12","alias_value":"3O3V4GUFQCDH","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3O3V4GUFQCDH35FM","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3O3V4GUF","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3O3V4GUFQCDH35FMECMJPXLITI","target":"record","payload":{"canonical_record":{"source":{"id":"1902.09674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-26T00:45:56Z","cross_cats_sorted":[],"title_canon_sha256":"54badb466d16b6e299ec1ffc24c86061f9a208d8a95cb729ed5539d024c2dc18","abstract_canon_sha256":"7c4634adc27715bff44c5c9f0b8762ff95ef18239eef06b88addec987011a8f8"},"schema_version":"1.0"},"canonical_sha256":"dbb75e1a8580867df4ac209897dd689a2e03c96992c2e2410a36ed2a1bc0ae9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:35.606803Z","signature_b64":"yN4hvTvu5auYQ+7qGz8i9HRMJzdO86u721E0Ze4s74Z5x+5XiC4PmxcGx9S3U7BJiQsYsAv1ISkQEcFXPJgxBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dbb75e1a8580867df4ac209897dd689a2e03c96992c2e2410a36ed2a1bc0ae9d","last_reissued_at":"2026-05-17T23:52:35.606257Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:35.606257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.09674","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":"2026-05-17T23:52:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7vwPJ7FESq6tICtpeZgVzpkPKK2f9tuHHSUxZiW+nrandN6Fb/SQfIaar4x4LSV8+bTBPX1cOVq/tBCmsNmQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:33:39.089171Z"},"content_sha256":"4d6ae233cf29a894922adf0504424c969bf3fc4f286a2a612be49350a6b0aad7","schema_version":"1.0","event_id":"sha256:4d6ae233cf29a894922adf0504424c969bf3fc4f286a2a612be49350a6b0aad7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3O3V4GUFQCDH35FMECMJPXLITI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ashok Prakash, Chitta Baral, Murthy Devarakonda, Saadat Anwar, Samarth Rawal, Sidharth Kulkarni, Soumya Adhya","submitted_at":"2019-02-26T00:45:56Z","abstract_excerpt":"Background and Significance: Selecting cohorts for a clinical trial typically requires costly and time-consuming manual chart reviews resulting in poor participation. To help automate the process, National NLP Clinical Challenges (N2C2) conducted a shared challenge by defining 13 criteria for clinical trial cohort selection and by providing training and test datasets. This research was motivated by the N2C2 challenge.\n  Methods: We broke down the task into 13 independent subtasks corresponding to each criterion and implemented subtasks using rules or a supervised machine learning model. Each t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.09674","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":"2026-05-17T23:52:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mpdqGjQo/xJnrljD7tn0Ad0qpO3VhixzLZYOQE06WNb2lNcsEiCMDe5kTZ3K+f50JBjpC65ZL3K1m26H63heBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:33:39.089695Z"},"content_sha256":"a0715e413c53b96f7fe15533c1d177766129fa6407d5eaf5811f8cfa8543041a","schema_version":"1.0","event_id":"sha256:a0715e413c53b96f7fe15533c1d177766129fa6407d5eaf5811f8cfa8543041a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3O3V4GUFQCDH35FMECMJPXLITI/bundle.json","state_url":"https://pith.science/pith/3O3V4GUFQCDH35FMECMJPXLITI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3O3V4GUFQCDH35FMECMJPXLITI/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":"2026-08-23T16:33:39Z","links":{"resolver":"https://pith.science/pith/3O3V4GUFQCDH35FMECMJPXLITI","bundle":"https://pith.science/pith/3O3V4GUFQCDH35FMECMJPXLITI/bundle.json","state":"https://pith.science/pith/3O3V4GUFQCDH35FMECMJPXLITI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3O3V4GUFQCDH35FMECMJPXLITI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3O3V4GUFQCDH35FMECMJPXLITI","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":"7c4634adc27715bff44c5c9f0b8762ff95ef18239eef06b88addec987011a8f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-26T00:45:56Z","title_canon_sha256":"54badb466d16b6e299ec1ffc24c86061f9a208d8a95cb729ed5539d024c2dc18"},"schema_version":"1.0","source":{"id":"1902.09674","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.09674","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"arxiv_version","alias_value":"1902.09674v1","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.09674","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"pith_short_12","alias_value":"3O3V4GUFQCDH","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3O3V4GUFQCDH35FM","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3O3V4GUF","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:a0715e413c53b96f7fe15533c1d177766129fa6407d5eaf5811f8cfa8543041a","target":"graph","created_at":"2026-05-17T23:52:35Z","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":"Background and Significance: Selecting cohorts for a clinical trial typically requires costly and time-consuming manual chart reviews resulting in poor participation. To help automate the process, National NLP Clinical Challenges (N2C2) conducted a shared challenge by defining 13 criteria for clinical trial cohort selection and by providing training and test datasets. This research was motivated by the N2C2 challenge.\n  Methods: We broke down the task into 13 independent subtasks corresponding to each criterion and implemented subtasks using rules or a supervised machine learning model. Each t","authors_text":"Ashok Prakash, Chitta Baral, Murthy Devarakonda, Saadat Anwar, Samarth Rawal, Sidharth Kulkarni, Soumya Adhya","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-26T00:45:56Z","title":"Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.09674","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":"sha256:4d6ae233cf29a894922adf0504424c969bf3fc4f286a2a612be49350a6b0aad7","target":"record","created_at":"2026-05-17T23:52:35Z","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":"7c4634adc27715bff44c5c9f0b8762ff95ef18239eef06b88addec987011a8f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-26T00:45:56Z","title_canon_sha256":"54badb466d16b6e299ec1ffc24c86061f9a208d8a95cb729ed5539d024c2dc18"},"schema_version":"1.0","source":{"id":"1902.09674","kind":"arxiv","version":1}},"canonical_sha256":"dbb75e1a8580867df4ac209897dd689a2e03c96992c2e2410a36ed2a1bc0ae9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbb75e1a8580867df4ac209897dd689a2e03c96992c2e2410a36ed2a1bc0ae9d","first_computed_at":"2026-05-17T23:52:35.606257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:35.606257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yN4hvTvu5auYQ+7qGz8i9HRMJzdO86u721E0Ze4s74Z5x+5XiC4PmxcGx9S3U7BJiQsYsAv1ISkQEcFXPJgxBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:35.606803Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.09674","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d6ae233cf29a894922adf0504424c969bf3fc4f286a2a612be49350a6b0aad7","sha256:a0715e413c53b96f7fe15533c1d177766129fa6407d5eaf5811f8cfa8543041a"],"state_sha256":"f44df90e6d7c17d0074469ea87669f69ae6c6a25cf61b84e80a98d5ef4db289d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HBRoKHkYkFGAarOg05aF+2NqO/9hhJ8hMZJPFt/7gJPYKBYBVQ0kOgp1TObsgykBPHlwtRPD2Pl+MpFPMlZFDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T16:33:39.094424Z","bundle_sha256":"15bcadf644d6d412be04afd1df4784b4778072eb326d3a65f9c0c129c67703a5"}}