{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3ZC5UXDIKC7YYRHCPKLQAF7UCC","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":"a470cfdc3f6bdea46fea0103a1f0f1a71abab17f80ddec45e5df17778a3c829f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-26T01:35:50Z","title_canon_sha256":"40c4784d268daccc49b96e7c451eb4738a7569a47862af003ac3867a7e234b1d"},"schema_version":"1.0","source":{"id":"2401.14589","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.14589","created_at":"2026-07-05T08:18:04Z"},{"alias_kind":"arxiv_version","alias_value":"2401.14589v2","created_at":"2026-07-05T08:18:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.14589","created_at":"2026-07-05T08:18:04Z"},{"alias_kind":"pith_short_12","alias_value":"3ZC5UXDIKC7Y","created_at":"2026-07-05T08:18:04Z"},{"alias_kind":"pith_short_16","alias_value":"3ZC5UXDIKC7YYRHC","created_at":"2026-07-05T08:18:04Z"},{"alias_kind":"pith_short_8","alias_value":"3ZC5UXDI","created_at":"2026-07-05T08:18:04Z"}],"graph_snapshots":[{"event_id":"sha256:69b3236fa4816bde22d93df0bcbe69b3b921eee8705d4a89e1dbf3a795c924f0","target":"graph","created_at":"2026-07-05T08:18:04Z","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/2401.14589/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Cognitive biases in clinical decision-making significantly contribute to errors in diagnosis and suboptimal patient outcomes. Addressing these biases presents a formidable challenge in the medical field.\n  Objective: This study explores the role of large language models (LLMs) in mitigating these biases through the utilization of a multi-agent framework. We simulate the clinical decision-making processes through multi-agent conversation and evaluate its efficacy in improving diagnostic accuracy.\n  Methods: A total of 16 published and unpublished case reports where cognitive biases ","authors_text":"Daniel Shu Wei Ting, Hairil Rizal Abdullah, Nan Liu, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Yu He Ke","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-26T01:35:50Z","title":"Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.14589","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":"sha256:336af32da563024bd0fb798630644737696d8816deb0e6af43b959c201df0bdb","target":"record","created_at":"2026-07-05T08:18:04Z","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":"a470cfdc3f6bdea46fea0103a1f0f1a71abab17f80ddec45e5df17778a3c829f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-26T01:35:50Z","title_canon_sha256":"40c4784d268daccc49b96e7c451eb4738a7569a47862af003ac3867a7e234b1d"},"schema_version":"1.0","source":{"id":"2401.14589","kind":"arxiv","version":2}},"canonical_sha256":"de45da5c6850bf8c44e27a970017f4109c1af185b108387c1c24f3f3f280bafe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de45da5c6850bf8c44e27a970017f4109c1af185b108387c1c24f3f3f280bafe","first_computed_at":"2026-07-05T08:18:04.518405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:04.518405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZpnrbG5aADrOQxgaeF26C+EsIpSPjaNTjIMA3cyzAGTnfthliEaE4lXq+g3B1wtM6S054f9z/kTeqwMVU0lVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:04.518910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.14589","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:336af32da563024bd0fb798630644737696d8816deb0e6af43b959c201df0bdb","sha256:69b3236fa4816bde22d93df0bcbe69b3b921eee8705d4a89e1dbf3a795c924f0"],"state_sha256":"ef6c176e32aa6f0519040adce40a65525633bb9ebfede6056aa908111e7d2104"}