Information-seeking failures of large language models in agentic clinical reasoning | Paper Citation Record

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This paper cites Application of precision medicine in clinical routine in haematology-challenges and opportunities.J.

Information-seeking failures of large language models in agentic clinical reasoning Application of precision medicine in clinical routine in haematology-challenges and opportunities.J

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This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180, August 2023.

Information-seeking failures of large language models in agentic clinical reasoning Large language models encode clinical knowledge.Nature, 620(7972):172–180, August 2023

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This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Information-seeking failures of large language models in agentic clinical reasoning Capabilities of GPT-4 on Medical Challenge Problems

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This paper cites How does ChatGPT perform on the united states medical licensing examination (USMLE)? theimplicationsoflargelanguagemodelsformedicaleducationandknowledgeassessment.JMIR Med.

Information-seeking failures of large language models in agentic clinical reasoning How does ChatGPT perform on the united states medical licensing examination (USMLE)? theimplicationsoflargelanguagemodelsformedicaleducationandknowledgeassessment.JMIR Med

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This paper cites GPT-4 for information retrieval and comparison of medical oncology guidelines.NEJM AI, 1(6), May 2024.

Information-seeking failures of large language models in agentic clinical reasoning GPT-4 for information retrieval and comparison of medical oncology guidelines.NEJM AI, 1(6), May 2024

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This paper cites Large language models should be used as scientific reasoning engines, not knowledge databases.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Large language models should be used as scientific reasoning engines, not knowledge databases.Nat

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This paper cites Large language models in medicine.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Large language models in medicine.Nat

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This paper cites Multimodal biomedical AI.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Multimodal biomedical AI.Nat

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This paper cites Artificialintelligenceformultimodaldataintegrationinoncology.Cancer Cell,40(10):1095–1110, October 2022.

Information-seeking failures of large language models in agentic clinical reasoning Artificialintelligenceformultimodaldataintegrationinoncology.Cancer Cell,40(10):1095–1110, October 2022

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This paper cites Foundation models for generalist medical artificial intelligence.Nature, 616 (7956):259–265, April 2023.

Information-seeking failures of large language models in agentic clinical reasoning Foundation models for generalist medical artificial intelligence.Nature, 616 (7956):259–265, April 2023

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Observation 4795a23b-8fc5-42be-9435-c527b67652bf · outbound

This paper cites Towards generalist biomedical AI.NEJM AI, 1(3), February 2024.

Information-seeking failures of large language models in agentic clinical reasoning Towards generalist biomedical AI.NEJM AI, 1(3), February 2024

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This paper cites Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology.Nat

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

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Observation beda8c3b-7589-48d1-8b18-db40e55119c1 · outbound

This paper cites HowAIagentswillchange cancer research and oncology.Nat.

Information-seeking failures of large language models in agentic clinical reasoning HowAIagentswillchange cancer research and oncology.Nat

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Observation 15b0a9de-2063-4e96-b0c6-a1d4672050b9 · outbound

This paper cites Holistic evaluation of large language models for medical tasks with MedHELM.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Holistic evaluation of large language models for medical tasks with MedHELM.Nat

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Observation 94bab2c2-8638-4538-a475-cc4534c79730 · outbound

This paper cites Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning.Nat

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Observation d322678b-79a5-4b1a-800a-989cc00a8df3 · outbound

This paper cites Toward expert-level medical question answering with large language models.Nat.

Information-seeking failures of large language models in agentic clinical reasoning Toward expert-level medical question answering with large language models.Nat

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Observation d9e46336-7f5b-464e-a1eb-b1c859f97ae5 · outbound

This paper cites On the Planning Abilities of Large Language Models : A Critical Investigation.

Information-seeking failures of large language models in agentic clinical reasoning On the Planning Abilities of Large Language Models : A Critical Investigation

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Observation 8d3b0e49-3111-4c1c-bbee-1b090868200d · outbound

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Information-seeking failures of large language models in agentic clinical reasoning Large Language Models for Planning: A Comprehensive and Systematic Survey

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Observation 3fd4a10b-2c63-41a6-83e1-ca355f723927 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Information-seeking failures of large language models in agentic clinical reasoning A Survey on LLM-as-a-Judge

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Observation 0045cc91-7f33-4fd0-bc52-ba3a3a0eb115 · outbound

This paper cites Development of a clinical reasoning documentation assessment tool for resident and fellow admission notes: A shared mental model for feedback.J.

Information-seeking failures of large language models in agentic clinical reasoning Development of a clinical reasoning documentation assessment tool for resident and fellow admission notes: A shared mental model for feedback.J

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Observation d7e73094-f550-4595-a78f-ae31c0cb4a6f · outbound

This paper cites A universal model of diagnostic reasoning.Acad.

Information-seeking failures of large language models in agentic clinical reasoning A universal model of diagnostic reasoning.Acad

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Resolution: verified exact; doi, observed 2026-07-14T13:00:29.200573Z

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Observation f90c4402-4042-4b57-a828-2409f91f8b9e · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

Information-seeking failures of large language models in agentic clinical reasoning AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

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This paper cites MedDialogRubrics: A comprehensive benchmark and evaluation framework for multi-turn medical consultations in large language models.

Information-seeking failures of large language models in agentic clinical reasoning MedDialogRubrics: A comprehensive benchmark and evaluation framework for multi-turn medical consultations in large language models

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This paper cites Self-evolving multi-agent simulations for realistic clinical interactions.

Information-seeking failures of large language models in agentic clinical reasoning Self-evolving multi-agent simulations for realistic clinical interactions

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Observation 0f8a1ec1-1998-4222-9a01-739385786efb · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Information-seeking failures of large language models in agentic clinical reasoning Lost in the Middle: How Language Models Use Long Contexts

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This paper cites Systematic Evaluation of Long-Context LLMs on Financial Concepts.

Information-seeking failures of large language models in agentic clinical reasoning Systematic Evaluation of Long-Context LLMs on Financial Concepts

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Observation 48e19e03-25cd-487a-8de0-5b1c0f143e6f · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

Information-seeking failures of large language models in agentic clinical reasoning LLMs Get Lost In Multi-Turn Conversation

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Observation 97cd46cd-c140-45ce-acbb-7de9a2332c51 · outbound

This paper cites Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1.Front.

Information-seeking failures of large language models in agentic clinical reasoning Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1.Front

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Observation bb547611-d6f5-48cc-a3b2-f5aa674dd0f7 · outbound

This paper cites Addressing cognitive bias in medical language models.

Information-seeking failures of large language models in agentic clinical reasoning Addressing cognitive bias in medical language models

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Observation 6b7a4404-a093-4080-918d-c669f031c4e6 · outbound

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Information-seeking failures of large language models in agentic clinical reasoning Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: Simulation study.J

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Observation 347341cf-d326-4334-b7b8-4df292f772ca · outbound

This paper cites Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.

Information-seeking failures of large language models in agentic clinical reasoning Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications

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Observation 7aef1882-e036-49d3-9afd-0bd586b0d8fb · outbound

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Information-seeking failures of large language models in agentic clinical reasoning Automating expert-level medical reasoning evaluation of large language models.NPJ Digit

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Observation 35f443b9-0625-4e54-9c38-d5b5c6369aaf · outbound

This paper cites morphologic remission.

Information-seeking failures of large language models in agentic clinical reasoning morphologic remission

Reference 35

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 36

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T12:59:50.759055Z

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This paper cites Solve: The patient is in septic shock secondary to presumed community-acquired pneumonia. Immediate management includes.

Information-seeking failures of large language models in agentic clinical reasoning Solve: The patient is in septic shock secondary to presumed community-acquired pneumonia. Immediate management includes

Reference 38

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 39

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 40

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This paper cites inactive post-treatment myeloma lesions.

Information-seeking failures of large language models in agentic clinical reasoning inactive post-treatment myeloma lesions

Reference 41

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Information-seeking failures of large language models in agentic clinical reasoning next treatment options

Reference 42

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 43

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 44

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Information-seeking failures of large language models in agentic clinical reasoning This might fit

Reference 45

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This paper cites Coordinate anticoagulation management for procedural hold.

Information-seeking failures of large language models in agentic clinical reasoning Coordinate anticoagulation management for procedural hold

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 47

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Information-seeking failures of large language models in agentic clinical reasoning pneumoniae and VRE E

Reference 48

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Information-seeking failures of large language models in agentic clinical reasoning partially_correct

Reference 49

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Observation 634829b0-6982-48c5-95b8-ca0f389339ae · outbound

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Information-seeking failures of large language models in agentic clinical reasoning Unresolved cited work

Reference 50

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This paper cites After reviewing treatment history (5 lines including ASCT x2, CAR-T, multiple PI/IMiD/anti-CD38 combinations), correctly identifies penta-refractory status.

Information-seeking failures of large language models in agentic clinical reasoning After reviewing treatment history (5 lines including ASCT x2, CAR-T, multiple PI/IMiD/anti-CD38 combinations), correctly identifies penta-refractory status

Reference 51

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This paper cites •Subtype: AML with myelomonocytic differentiation.

Information-seeking failures of large language models in agentic clinical reasoning •Subtype: AML with myelomonocytic differentiation

Reference 52

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Observation cdfa6f18-200a-4dfb-9066-baabccc75077 · outbound

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Information-seeking failures of large language models in agentic clinical reasoning incorrect

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T12:59:50.759055Z

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This paper cites Solve” Request: •“Final round - provide definitive diagnosis and treatment plan.

Information-seeking failures of large language models in agentic clinical reasoning Solve” Request: •“Final round - provide definitive diagnosis and treatment plan

Reference 54

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