{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YDQ54HWNTCYHWZHXF6OBE2JPNF","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":"e55befe5426840719e575c3865e60dba35459ab745785645bb43efb1f856c2f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T18:08:02Z","title_canon_sha256":"afa173acb078be45a8c1c4e94ac79de239740aa9e2f465b88d95bdb60e76a9eb"},"schema_version":"1.0","source":{"id":"2505.07968","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07968","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07968v3","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07968","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"YDQ54HWNTCYH","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"YDQ54HWNTCYHWZHX","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"YDQ54HWN","created_at":"2026-07-05T12:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:3db171d8b7a8a9d5ba06814bab649ac815033589ac2ffb2dacec29cb7b164231","target":"graph","created_at":"2026-07-05T12:06:12Z","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/2505.07968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have great potential in the field of health care, yet they face great challenges in adapting to rapidly evolving medical knowledge. This can lead to outdated or contradictory treatment suggestions. This study investigated how LLMs respond to evolving clinical guidelines, focusing on concept drift and internal inconsistencies. We developed the DriftMedQA benchmark to simulate guideline evolution and assessed the temporal reliability of various LLMs. Our evaluation of seven state-of-the-art models across 4,290 scenarios demonstrated difficulties in rejecting outdated","authors_text":"Chongyang Gao, Jiang Gui, Lucas A. Salas, Siting Li, Weiyi Wu, Xingjian Diao, Xinwen Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T18:08:02Z","title":"Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07968","kind":"arxiv","version":3},"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":"sha256:58c810a244cea53328e05e462f3a14de94b385121e473a039787e5ddabf08b15","target":"record","created_at":"2026-07-05T12:06:12Z","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":"e55befe5426840719e575c3865e60dba35459ab745785645bb43efb1f856c2f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T18:08:02Z","title_canon_sha256":"afa173acb078be45a8c1c4e94ac79de239740aa9e2f465b88d95bdb60e76a9eb"},"schema_version":"1.0","source":{"id":"2505.07968","kind":"arxiv","version":3}},"canonical_sha256":"c0e1de1ecd98b07b64f72f9c12692f695dc5c434e137c0dad6b5fdc3d4e78a63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0e1de1ecd98b07b64f72f9c12692f695dc5c434e137c0dad6b5fdc3d4e78a63","first_computed_at":"2026-07-05T12:06:12.246281Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:12.246281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iJovoaoh9jYk7KyZ4p+fX6yZRv8p4g8IOZViScWPHpaakF5xeLpLpAr3TI+KoaxM/M2OjIp7IX/EyewuAtilDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:12.246813Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07968","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58c810a244cea53328e05e462f3a14de94b385121e473a039787e5ddabf08b15","sha256:3db171d8b7a8a9d5ba06814bab649ac815033589ac2ffb2dacec29cb7b164231"],"state_sha256":"4cab017c1f8be5aa21da4c77fda020e9259cb03e1bedfc802e1ef038103a91ed"}