Paper Citation Record · LEDGER

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.28677.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.28677 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:47:08.786613Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de96c79e-4a40-40a5-8179-5e64eac28911 · outbound

This paper cites Performance of a large language model on the reasoning tasks of a physician.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Performance of a large language model on the reasoning tasks of a physician

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:05.752339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74099ce-fab3-4452-b685-1b63fff2d913 · outbound

This paper cites Reliability of LLMs as medical assistants for the general public: a randomized preregistered study.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:05.840374Z

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Observation 7b945728-8bc2-4755-9509-9281d59801e5 · outbound

This paper cites Measuring what Matters: Construct Validity in Large Language Model Benchmarks2025 November 3, 2025.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Measuring what Matters: Construct Validity in Large Language Model Benchmarks2025 November 3, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:05.945108Z

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Observation fce241fd-572f-4cc1-9c1d-660504b4d9fd · outbound

This paper cites On the robustness of medical term representations in locally deployable language models.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support On the robustness of medical term representations in locally deployable language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.111582Z

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Unavailable: canonical work link unavailable.

Observation f2784f09-c73c-48ff-b9bf-53c9ba25b0d8 · outbound

This paper cites Health AI needs meaningful human involvement: lessons from war.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Health AI needs meaningful human involvement: lessons from war

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.220549Z

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Observation ecee4c67-07d8-45fd-bd8a-8b4fe65eb86f · outbound

This paper cites From Concept to Clinic: Real World Evidence for Autonomous AI Deployment in Primary Care Telemedicine.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support From Concept to Clinic: Real World Evidence for Autonomous AI Deployment in Primary Care Telemedicine

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.389839Z

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Observation d5498374-9fa5-4b33-a0d7-26f93bedc42d · outbound

This paper cites Towards autonomous medical artificial intelligence agents.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Towards autonomous medical artificial intelligence agents

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.486690Z

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Observation bfb0457c-5416-4141-822b-4a2cc3be5c05 · outbound

This paper cites A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.542200Z

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Observation a2dccb91-62a7-4e8d-932a-6e10c5fb2df4 · outbound

This paper cites Safety of a large language model-based clinical decision support system in African primary healthcare.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Safety of a large language model-based clinical decision support system in African primary healthcare

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.666268Z

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Observation 20518bf9-356d-4738-a5ad-8f65ee5cae15 · outbound

This paper cites AI-based Clinical Decision Support for Primary Care: A Real-World Study.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support AI-based Clinical Decision Support for Primary Care: A Real-World Study

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.754803Z

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Unavailable: canonical work link unavailable.

Observation 035c0676-8880-4aaf-bec3-b24b63b55bd4 · outbound

This paper cites Medical errors in large language models revealed using 1,000 synthetic clinical transcripts.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Medical errors in large language models revealed using 1,000 synthetic clinical transcripts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.851847Z

Source-reported events for the cited work

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Observation c00148ae-0141-4595-8dba-67898da83f87 · outbound

This paper cites Large Language Models lack essential metacognition for reliable medical reasoning.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Large Language Models lack essential metacognition for reliable medical reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:06.907210Z

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Observation d85b0cde-3c7c-4c81-b0ec-817a1e640eee · outbound

This paper cites Towards conversational diagnostic artificial intelligence.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Towards conversational diagnostic artificial intelligence

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.069220Z

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Observation 8dbb94b9-03f0-4e4f-a837-c683fd606076 · outbound

This paper cites Towards Conversational AI for Disease Management.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Towards Conversational AI for Disease Management

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.234978Z

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Observation 0b016d29-21a5-4973-a476-dc71e2ed4388 · outbound

This paper cites Testing and Evalua- tion of Health Care Applications of Large Language Models: A Systematic Review.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Testing and Evalua- tion of Health Care Applications of Large Language Models: A Systematic Review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.401396Z

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Observation b74fbffc-c8cd-4bce-a7db-44304f367166 · outbound

This paper cites LLM-assisted systematic review of large language models in clinical medicine.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support LLM-assisted systematic review of large language models in clinical medicine

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.513681Z

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Observation 0a5bcce6-3244-4658-b3c3-83e1f25ad143 · outbound

This paper cites Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.674935Z

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Observation 471de8cb-5145-4435-8013-9643d29439e8 · outbound

This paper cites MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.840702Z

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Observation b5515b52-0bcc-4319-bd09-816bbdb412ef · outbound

This paper cites Training language models to be warm can reduce accuracy and increase sycophancy.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Training language models to be warm can reduce accuracy and increase sycophancy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:07.900627Z

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Observation a4b24a9d-51dc-4923-96b4-ea1e1d9911cb · outbound

This paper cites Competing Biases underlie Overconfidence and Underconfidence in LLMs.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Competing Biases underlie Overconfidence and Underconfidence in LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.008719Z

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Observation 4a28b52e-1033-4391-bfe9-df546d31a1dc · outbound

This paper cites Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.039934Z

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Observation 511ac63f-afcc-442a-a47c-4b86c6f4099d · outbound

This paper cites First, do NOHARM: towards clinically safe large language models.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support First, do NOHARM: towards clinically safe large language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.117061Z

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Observation 14f78564-fe69-4c59-bb6f-5d2f97640ba6 · outbound

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

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.177007Z

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Observation 827f14c3-925e-4fe8-af3f-f3090208de68 · outbound

This paper cites SymptomAI: Toward a Con- versational AI Agent for Everyday Symptom Assessment.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support SymptomAI: Toward a Con- versational AI Agent for Everyday Symptom Assessment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.285001Z

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Observation 91c4f6c5-71d2-4782-9134-7b3028b411a7 · outbound

This paper cites A POMDP Formulation of Preference Elicitation Problems.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support A POMDP Formulation of Preference Elicitation Problems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.396535Z

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Observation c7d11616-466c-4f77-8618-b75311bf09eb · outbound

This paper cites A clinical environment simulator for dynamic AI evaluation.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support A clinical environment simulator for dynamic AI evaluation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.504867Z

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Observation 993d9874-d12c-4727-b5dd-74d99e6f52a2 · outbound

This paper cites LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.564508Z

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Observation d50a2074-7081-42a9-9b88-1b298f12bbc8 · outbound

This paper cites AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.624687Z

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Observation abf90368-e3e8-47f5-b310-f25a8c54446e · outbound

This paper cites Nature Medicine.

Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support Nature Medicine

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T00:47:08.786613Z

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Pith citing papers

No inbound Pith citation observations are available.