Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models | Paper Citation Record

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This paper cites Attention is all you need.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Attention is all you need

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This paper cites DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Sequential Diagnosis with Language Models

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This paper cites Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine.NPJ Digital Medicine, 7(1):20, 2024.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine.NPJ Digital Medicine, 7(1):20, 2024

Reference 4

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This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

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This paper cites Med-r1: Reinforcement learning for generalizable medical reasoning in vision-language models.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Med-r1: Reinforcement learning for generalizable medical reasoning in vision-language models

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This paper cites Enhancing medical summarization with parameter efficient fine tuning on local cpus.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Enhancing medical summarization with parameter efficient fine tuning on local cpus

Reference 7

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This paper cites EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 8

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This paper cites genomicbert: A light-weight foundation model for genome analysis using unigram tokenization and specialized dna vocabulary.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models genomicbert: A light-weight foundation model for genome analysis using unigram tokenization and specialized dna vocabulary

Reference 9

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This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams, 2020.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models What disease does this patient have? a large-scale open domain question answering dataset from medical exams, 2020

Reference 10

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 11

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 12

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This paper cites Measuring Massive Multitask Language Understanding.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Measuring Massive Multitask Language Understanding

Reference 13

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This paper cites Ai legal innovations: The benefits and drawbacks of chat-gpt and generative ai in the legal industry.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Ai legal innovations: The benefits and drawbacks of chat-gpt and generative ai in the legal industry

Reference 14

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Ai detection’s high false positive rates and the psychological and material impacts on students

Reference 15

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This paper cites Better alone than in bad company: Addressing the risks of companion chatbots through data protection by design.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Better alone than in bad company: Addressing the risks of companion chatbots through data protection by design

Reference 16

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models The google engineer who thinks the company’s ai has come to life

Reference 17

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This paper cites Artificial intelligence algorithm for predicting mortality of patients with acute heart failure.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Artificial intelligence algorithm for predicting mortality of patients with acute heart failure

Reference 18

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This paper cites Axiomatic attribution for deep networks.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Axiomatic attribution for deep networks

Reference 19

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This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 20

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This paper cites A novel visual interpretability for deep neural networks by optimizing activation maps with perturbation.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A novel visual interpretability for deep neural networks by optimizing activation maps with perturbation

Reference 21

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Ecco: An open source library for the explainability of transformer language models

Reference 22

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 25

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Griffiths, Yuan Cao, and Karthik Narasimhan

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This paper cites A Survey of LLM-based Agents in Medicine: How far are we from Baymax?.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Clinicalagent: Clinical trial multi-agent system with large language model-based reasoning

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM Disscusion via Argumentation Schemes

Reference 30

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024

Reference 31

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Marco-o1: Towards open reasoning models for open-ended solutions, 2024

Reference 32

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Large language models encode clinical knowledge

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Deep reinforcement learning from human preferences

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models GPT-4 Technical Report

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Training language models to follow instructions with human feedback

Reference 36

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Proximal Policy Optimization Algorithms

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Direct preference optimization: Your language model is secretly a reward model

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Directed acyclic graphs

Reference 40

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Directed acyclic graphs: a tool for causal studies in paediatrics

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

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This paper cites Applying large language models for causal structure learning in non small cell lung cancer.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Applying large language models for causal structure learning in non small cell lung cancer

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Inferbert: a transformer-based causal inference framework for enhancing pharmacovigilance

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Cambridge Handbook Of Thinking And Reasoning Ebook

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Causal models: How people think about the world and its alternatives

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Philosophy of mathematics, 2007

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Survey of Reasoning with Foundation Models

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Causal reasoning and large language models: Opening a new frontier for causality, 2024

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Mycin: a knowledge-based consultation program for infectious disease diagnosis

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Internist-i, an experimental computer-based diagnostic consultant for general internal medicine

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Neurosymbolic artificial intelligence (why, what, and how)

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This paper cites A brief overview of chatgpt: The history, status quo and potential future development.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A brief overview of chatgpt: The history, status quo and potential future development

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models LLaMA: Open and Efficient Foundation Language Models

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This paper cites Opportunities and risks of chatgpt in medicine, science, and academic publishing: a modern promethean dilemma.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Opportunities and risks of chatgpt in medicine, science, and academic publishing: a modern promethean dilemma

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Observation 45afeace-17ba-4402-92eb-b339f5bf1d8f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 58

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Observation 62bd610d-9343-4fdc-ad4d-8618e6a4bbfd · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.369960Z

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Observation 91d6b0ee-0ddf-4c2d-89db-6d62bab6e81d · outbound

This paper cites A generalist medical language model for disease diagnosis assistance.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A generalist medical language model for disease diagnosis assistance

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:22.074140Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32416109-0852-4155-9d6c-2262277eb2a7 · outbound

This paper cites Crossing the trust gap in medical ai: Building an abductive bridge for xai.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Crossing the trust gap in medical ai: Building an abductive bridge for xai

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:22.057712Z

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Observation 1cd1173a-2321-4c59-ad08-3e27102bba90 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Mimic-iii, a freely accessible critical care database

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.385150Z

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Observation bee3fef1-17f6-4da2-bf45-91b068429816 · outbound

This paper cites Large language models are clinical reasoners: Reasoning- aware diagnosis framework with prompt-generated rationales.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Large language models are clinical reasoners: Reasoning- aware diagnosis framework with prompt-generated rationales

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.389936Z

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Unavailable: canonical work link unavailable.

Observation 305f9309-7d5e-43e3-bfdc-ddca5a06a718 · outbound

This paper cites MedDM:LLM-executable clinical guidance tree for clinical decision-making.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models MedDM:LLM-executable clinical guidance tree for clinical decision-making

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.394652Z

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Observation 450d37eb-56d2-48be-accc-684509a50405 · outbound

This paper cites Patterson, Matthew M.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Patterson, Matthew M

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:22.019512Z

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Observation 58aff079-5a05-4ad2-859c-7460cde792f6 · outbound

This paper cites Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.405757Z

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Observation 3717f0fb-741b-4165-aa35-85ffdfce09da · outbound

This paper cites Towards conversational diagnostic ai.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Towards conversational diagnostic ai

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:22.002253Z

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Observation 66a6273e-a963-4e3b-8cb8-79e741001662 · outbound

This paper cites Towards trustworthy automatic diagnosis systems by emulating doctors’ reasoning with deep reinforcement learning.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Towards trustworthy automatic diagnosis systems by emulating doctors’ reasoning with deep reinforcement learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.986328Z

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Observation ec2f4fdd-f1b8-4614-a4a5-3c4b097d832b · outbound

This paper cites MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.420408Z

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Observation d5a6d98e-52c2-4d79-ae52-7ea7cf4dae0b · outbound

This paper cites Causality extraction from medical text using large language models (llms), 2024.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Causality extraction from medical text using large language models (llms), 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.970129Z

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Observation 8a9df475-bf98-44d4-bc78-8fcb5a4b443c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.430700Z

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Unavailable: canonical work link unavailable.

Observation aede93e2-5a21-42be-b9ee-da469bf1a0aa · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.436314Z

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Observation b984a95b-70ea-4cdc-975b-1c7b8b3ef0ab · outbound

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:11:21.953789Z

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Observation d92d1362-c50c-4c70-9bc6-72222c35a3dd · outbound

This paper cites Sok: Memorization in general-purpose large language models, 2023.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Sok: Memorization in general-purpose large language models, 2023

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.937658Z

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Observation dfd99550-ba9a-4b69-8720-9d165517aaa5 · outbound

This paper cites Ddxplus: A new dataset for automatic medical diagnosis.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Ddxplus: A new dataset for automatic medical diagnosis

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.451796Z

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Observation d21d1301-403a-4feb-91e8-c7fdb7632add · outbound

This paper cites Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.456418Z

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Observation 578093fa-f539-4011-af5b-b3a83c2b0424 · outbound

This paper cites Toward clinical generative ai: Conceptual framework.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Toward clinical generative ai: Conceptual framework

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.910742Z

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Observation 77095d08-1604-44e8-9604-5b64697ecf21 · outbound

This paper cites Towards metacognitive clinical reasoning: Benchmark- ing md-pie against state-of-the-art llms in medical decision-making.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Towards metacognitive clinical reasoning: Benchmark- ing md-pie against state-of-the-art llms in medical decision-making

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.891989Z

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Observation 1500b680-71c4-469a-b548-4630025d1eea · outbound

This paper cites Clinical reasoning of a generative artificial intelligence model compared with physicians.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Clinical reasoning of a generative artificial intelligence model compared with physicians

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.876061Z

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Observation 7813af97-b55d-4b8a-8249-b9ebfafba695 · outbound

This paper cites Medical reasoning in llms: an in-depth analysis of deepseek r1.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Medical reasoning in llms: an in-depth analysis of deepseek r1

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.860336Z

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Observation 89338951-d8e3-47ff-a305-7f5e7bfd8d5d · outbound

This paper cites Automating Expert-Level Medical Reasoning Evaluation of Large Language Models.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Automating Expert-Level Medical Reasoning Evaluation of Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.481528Z

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Observation 9364561e-c929-4754-824e-5c25d4ae3a86 · outbound

This paper cites MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.487211Z

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Observation 8170ad43-6136-49e0-89f3-97328b26bc02 · outbound

This paper cites Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.492320Z

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Observation de82f416-5ea8-4d6f-ab76-fca4bfbeb023 · outbound

This paper cites Applying large language models for causal structure learning in non small cell lung cancer.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Applying large language models for causal structure learning in non small cell lung cancer

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.844018Z

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Observation 8e190327-3c99-452d-a923-659f57060191 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Unified Approach to Interpreting Model Predictions

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.501964Z

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Observation 709b182f-208e-4e1f-a350-6afad2e2b36c · outbound

This paper cites Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:11:21.051738Z

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Observation d5483a22-a496-4ade-b9a4-3e580d0d5181 · outbound

This paper cites An interactive programming learning environment supporting paper computing and immediate evaluation for making thinking visible and traceable.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models An interactive programming learning environment supporting paper computing and immediate evaluation for making thinking visible and traceable

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.827475Z

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Observation a0485a8c-fc0e-4f02-9185-c4d1f7fd4110 · outbound

This paper cites Interactive Natural Language Processing.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Interactive Natural Language Processing

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.516947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d34a395-1831-49d0-9bf4-228778ffc92c · outbound

This paper cites A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:11:21.010417Z

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Observation 15deab5b-8dee-4d19-aa50-002ed1ad2bb0 · outbound

This paper cites Chain-of-thought reasoning without prompting, 2024.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Chain-of-thought reasoning without prompting, 2024

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.527916Z

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Unavailable: canonical work link unavailable.

Observation 77de7b19-f217-4a34-bb6f-0ef31375ba0c · outbound

This paper cites Qwen2 Technical Report.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Qwen2 Technical Report

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.532807Z

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Observation 4313abfd-2b56-4499-bb92-fc4f9406a39e · outbound

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Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Qwen2.5-VL Technical Report

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.537912Z

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Unavailable: canonical work link unavailable.

Observation 117dbaed-0527-4c2a-b82a-5aef11be4611 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Xgboost: A scalable tree boosting system

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.542946Z

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Observation 398de49e-4654-4f28-9279-f8725e162618 · outbound

This paper cites Random forests.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Random forests

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.547688Z

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Observation d4b981c1-78d3-465e-87c0-cbc13256c74d · outbound

This paper cites Machine learning and complex biological data.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Machine learning and complex biological data

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.779372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0048b474-4fc6-430d-b863-2dd3e4313101 · outbound

This paper cites From formal boosted tree explanations to interpretable rule sets.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models From formal boosted tree explanations to interpretable rule sets

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:11:21.763289Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 685b4c00-a69f-4a65-b121-d8a65c569eda · outbound

This paper cites Dual-process theories of higher cognition: Advancing the debate.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Dual-process theories of higher cognition: Advancing the debate

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.561743Z

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Observation d5355a64-bd51-4f73-87bb-9afb64fd12b3 · outbound

This paper cites On the Measure of Intelligence.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models On the Measure of Intelligence

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.567574Z

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Unavailable: canonical work link unavailable.

Observation 22609a65-6ae5-4f63-a4d2-a6e38f09bcb6 · outbound

This paper cites ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.572820Z

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Observation fbfb7c4d-3fa1-4eb5-b46d-71aaad2a423b · outbound

This paper cites Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.577706Z

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Observation e0dbcf38-f032-4510-9c8e-1fa152e14886 · outbound

This paper cites From generation to judgment: Opportunities and challenges of llm-as-a-judge, 2025.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models From generation to judgment: Opportunities and challenges of llm-as-a-judge, 2025

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.582856Z

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