{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WW4LZT5NXUZ6ID74VOIE3KJXTJ","short_pith_number":"pith:WW4LZT5N","canonical_record":{"source":{"id":"2506.23315","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T16:17:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ee41ffbb3fcb4e13056e211661ba564acd05a08a6549c9d3bc261e7e071ea703","abstract_canon_sha256":"21866f610ea10b8d6c90eba6b4aef13a482e373396d387607d5495e951d59518"},"schema_version":"1.0"},"canonical_sha256":"b5b8bccfadbd33e40ffcab904da9379a6256a07ddd6e7ce41e98cdb43da5f426","source":{"kind":"arxiv","id":"2506.23315","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23315","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23315v1","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23315","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_12","alias_value":"WW4LZT5NXUZ6","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"WW4LZT5NXUZ6ID74","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"WW4LZT5N","created_at":"2026-07-05T11:29:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WW4LZT5NXUZ6ID74VOIE3KJXTJ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23315","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T16:17:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ee41ffbb3fcb4e13056e211661ba564acd05a08a6549c9d3bc261e7e071ea703","abstract_canon_sha256":"21866f610ea10b8d6c90eba6b4aef13a482e373396d387607d5495e951d59518"},"schema_version":"1.0"},"canonical_sha256":"b5b8bccfadbd33e40ffcab904da9379a6256a07ddd6e7ce41e98cdb43da5f426","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:19.680110Z","signature_b64":"Z65Tgx6dw/iJ2TPohksax4PXyzpmRdAbTP/fBMiOKUah3jh7iTvI8MC25J8yXBB0X9TuJFDkZ6l2dXr7Bw40BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5b8bccfadbd33e40ffcab904da9379a6256a07ddd6e7ce41e98cdb43da5f426","last_reissued_at":"2026-07-05T11:29:19.679632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:19.679632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23315","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":"2026-07-05T11:29:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxtrpNpSoc0jqqvSRNPFxsmDMczE280NYCpbhXdcM3i82wXu6bQlMTqn8/DSkSGAlmPatszCd9A8boY+bENWBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:18:11.394545Z"},"content_sha256":"0869dd3d79227d918597208df9e489bd4c03d274b1e1d77c65703649efc6225c","schema_version":"1.0","event_id":"sha256:0869dd3d79227d918597208df9e489bd4c03d274b1e1d77c65703649efc6225c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WW4LZT5NXUZ6ID74VOIE3KJXTJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Lijun Qian, Shouvon Sarker, Xishuang Dong","submitted_at":"2025-06-29T16:17:17Z","abstract_excerpt":"Identification of key variables such as medications, diseases, relations from health records and clinical notes has a wide range of applications in the clinical domain. n2c2 2022 provided shared tasks on challenges in natural language processing for clinical data analytics on electronic health records (EHR), where it built a comprehensive annotated clinical data Contextualized Medication Event Dataset (CMED). This study focuses on subtask 2 in Track 1 of this challenge that is to detect and classify medication events from clinical notes through building a novel BERT-based ensemble model. It st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23315","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.23315/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":"2026-07-05T11:29:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sRt8h8h6n1wde+gyvxcX6P4XH3IVEM2aSI9gw3dLbmsbxPfEdSq04TQv+/2Xsq4L8Jw2jWTZudHL0Lxrus0nAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:18:11.395151Z"},"content_sha256":"c79eb55b8ca18144c05fea3dc306d6a179d9487560a9cc2a8696dac184976b1a","schema_version":"1.0","event_id":"sha256:c79eb55b8ca18144c05fea3dc306d6a179d9487560a9cc2a8696dac184976b1a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/bundle.json","state_url":"https://pith.science/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/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":"2026-08-10T03:18:11Z","links":{"resolver":"https://pith.science/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ","bundle":"https://pith.science/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/bundle.json","state":"https://pith.science/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WW4LZT5NXUZ6ID74VOIE3KJXTJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WW4LZT5NXUZ6ID74VOIE3KJXTJ","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":"21866f610ea10b8d6c90eba6b4aef13a482e373396d387607d5495e951d59518","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T16:17:17Z","title_canon_sha256":"ee41ffbb3fcb4e13056e211661ba564acd05a08a6549c9d3bc261e7e071ea703"},"schema_version":"1.0","source":{"id":"2506.23315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23315","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23315v1","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23315","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_12","alias_value":"WW4LZT5NXUZ6","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"WW4LZT5NXUZ6ID74","created_at":"2026-07-05T11:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"WW4LZT5N","created_at":"2026-07-05T11:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:c79eb55b8ca18144c05fea3dc306d6a179d9487560a9cc2a8696dac184976b1a","target":"graph","created_at":"2026-07-05T11:29:19Z","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/2506.23315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identification of key variables such as medications, diseases, relations from health records and clinical notes has a wide range of applications in the clinical domain. n2c2 2022 provided shared tasks on challenges in natural language processing for clinical data analytics on electronic health records (EHR), where it built a comprehensive annotated clinical data Contextualized Medication Event Dataset (CMED). This study focuses on subtask 2 in Track 1 of this challenge that is to detect and classify medication events from clinical notes through building a novel BERT-based ensemble model. It st","authors_text":"Lijun Qian, Shouvon Sarker, Xishuang Dong","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T16:17:17Z","title":"Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23315","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":"sha256:0869dd3d79227d918597208df9e489bd4c03d274b1e1d77c65703649efc6225c","target":"record","created_at":"2026-07-05T11:29:19Z","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":"21866f610ea10b8d6c90eba6b4aef13a482e373396d387607d5495e951d59518","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T16:17:17Z","title_canon_sha256":"ee41ffbb3fcb4e13056e211661ba564acd05a08a6549c9d3bc261e7e071ea703"},"schema_version":"1.0","source":{"id":"2506.23315","kind":"arxiv","version":1}},"canonical_sha256":"b5b8bccfadbd33e40ffcab904da9379a6256a07ddd6e7ce41e98cdb43da5f426","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5b8bccfadbd33e40ffcab904da9379a6256a07ddd6e7ce41e98cdb43da5f426","first_computed_at":"2026-07-05T11:29:19.679632Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:19.679632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z65Tgx6dw/iJ2TPohksax4PXyzpmRdAbTP/fBMiOKUah3jh7iTvI8MC25J8yXBB0X9TuJFDkZ6l2dXr7Bw40BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:19.680110Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0869dd3d79227d918597208df9e489bd4c03d274b1e1d77c65703649efc6225c","sha256:c79eb55b8ca18144c05fea3dc306d6a179d9487560a9cc2a8696dac184976b1a"],"state_sha256":"b411dbe77b1cfc25c68f5e749d0877a66d868eee9d3b08bac55d1dfb498f070c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d9Q9odiI2dikkL3qV52SQheJ8WZ0g1k8OyK1ElhzAZWPIaXHEXF005m2N+IHGSlw+toZIYWCVUXnmRuaPz1oAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T03:18:11.399467Z","bundle_sha256":"cc7b6f3431c16c31dbf9b8971b65ce916e6af197a252762d288fb69c49b75ccd"}}