{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XYMQWI7ELUNCBO5M7KHXKSDQAY","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":"7089c26e51745a321e7d9f2ca1436fd918c4e6adfcdc77af96c7819ea51e9b03","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T12:00:51Z","title_canon_sha256":"925398d153d04c59c15e06e87b26296edb342eb58afa2e5aed4b7b1d9ec92d5e"},"schema_version":"1.0","source":{"id":"2502.20988","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20988","created_at":"2026-07-05T11:52:01Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20988v2","created_at":"2026-07-05T11:52:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20988","created_at":"2026-07-05T11:52:01Z"},{"alias_kind":"pith_short_12","alias_value":"XYMQWI7ELUNC","created_at":"2026-07-05T11:52:01Z"},{"alias_kind":"pith_short_16","alias_value":"XYMQWI7ELUNCBO5M","created_at":"2026-07-05T11:52:01Z"},{"alias_kind":"pith_short_8","alias_value":"XYMQWI7E","created_at":"2026-07-05T11:52:01Z"}],"graph_snapshots":[{"event_id":"sha256:5b257208657b8222f90c50c6d0f4d75fe5463fbd78a4bfe13b764a43800c730b","target":"graph","created_at":"2026-07-05T11:52:01Z","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/2502.20988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The large-scale development of large language models (LLMs) in medical contexts, such as diagnostic assistance and treatment recommendations, necessitates that these models possess accurate medical knowledge and deliver traceable decision-making processes. Clinical knowledge, encompassing the insights gained from research on the causes, prognosis, diagnosis, and treatment of diseases, has been extensively examined within real-world medical practices. Recently, there has been a notable increase in research efforts aimed at integrating this type of knowledge into LLMs, encompassing not only trad","authors_text":"Caicai Guo, Chao Gao, Deyu Chen, Feng Gao, Frank van Harmelen, Haijiang Liu, Jinguang Gu, Meng Wang, Qiyuan Li","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T12:00:51Z","title":"Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20988","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":"sha256:0cb5d6ffbe29e96ad3b98c2715b198b41177de0f1a2e4cd680db2f369efd09b1","target":"record","created_at":"2026-07-05T11:52:01Z","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":"7089c26e51745a321e7d9f2ca1436fd918c4e6adfcdc77af96c7819ea51e9b03","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T12:00:51Z","title_canon_sha256":"925398d153d04c59c15e06e87b26296edb342eb58afa2e5aed4b7b1d9ec92d5e"},"schema_version":"1.0","source":{"id":"2502.20988","kind":"arxiv","version":2}},"canonical_sha256":"be190b23e45d1a20bbacfa8f754870061ca2dd325ec275a5ce1d44832a3f89bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be190b23e45d1a20bbacfa8f754870061ca2dd325ec275a5ce1d44832a3f89bb","first_computed_at":"2026-07-05T11:52:01.471408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:01.471408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6xQsd9EW3/KFzZF8EUZw/091opWsZsXdjABmVLj+hSbc8UyzZAZvNOotH0X38/41KQQMmki+aoZd071vSSPzBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:01.471901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20988","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cb5d6ffbe29e96ad3b98c2715b198b41177de0f1a2e4cd680db2f369efd09b1","sha256:5b257208657b8222f90c50c6d0f4d75fe5463fbd78a4bfe13b764a43800c730b"],"state_sha256":"e3dbc510ee4eb9ed6dd0791b12109b5cef98ed4312f3ba4157916041842a3ee0"}