Paper Citation Record · LEDGER

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.08030.

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

pith.paper-citation-record.v1
2507.08030 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:09:14.549335Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

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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

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 304985a1-251f-47f1-91b5-028940afb34f · outbound

This paper cites The application of large language models in medicine: A scoping review.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models The application of large language models in medicine: A scoping review

Reference 1

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Observation 6a196cb6-40e8-442b-a7bd-041d6c8ee207 · outbound

This paper cites The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Ap- proachable for Medical Professionals.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Ap- proachable for Medical Professionals

Reference 2

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Observation d9691156-2676-4a43-a88e-67cd59a4bf83 · outbound

This paper cites Red teaming ChatGPT in medicine to yield real-world insights on model behavior.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Red teaming ChatGPT in medicine to yield real-world insights on model behavior

Reference 3

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Observation 50664043-715f-4589-a5fb-c1b0a5b7da2b · outbound

This paper cites Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study

Reference 4

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Observation 9e1dc84c-1a06-4d3e-b0ad-ed9de6f65d79 · outbound

This paper cites Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support

Reference 5

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Observation f439cb82-f34c-4690-a774-67abab864fe0 · outbound

This paper cites Conversational presentation mode increases credibility judgements during information search with ChatGPT.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Conversational presentation mode increases credibility judgements during information search with ChatGPT

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T19:09:15.606202Z

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Observation 103323b3-329a-40b6-85bf-f7895c8b117c · outbound

This paper cites People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy

Reference 7

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Observation 0673500f-b797-4e7b-95e4-4c960065d3a3 · outbound

This paper cites Unregulated large language models produce medical device-like out- put.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Unregulated large language models produce medical device-like out- put

Reference 8

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Observation 626a10d9-8124-45cb-bb27-6d655b8dbc75 · outbound

This paper cites Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional anal- ysis.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional anal- ysis

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T19:09:15.338381Z

Source-reported events for the cited work

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Observation 2aca740c-57b6-4a2f-abea-0c4617f61f3f · outbound

This paper cites S., Gimenez, F., Hoogi, A., Miyake, K.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models S., Gimenez, F., Hoogi, A., Miyake, K

Reference 10

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Source-reported events for the cited work

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Observation f5212700-7324-406b-b3e7-d3f581da5777 · outbound

This paper cites Labeled optical coherence tomography (oct) and chest X-ray images for classification.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Labeled optical coherence tomography (oct) and chest X-ray images for classification

Reference 11

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Observation 9090dec6-0bbd-4c63-8d52-15bf2fcdbfba · outbound

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A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Unresolved cited work

Reference 12

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Observation 13eb76d9-f691-4051-a07e-a4e06b54d71c · outbound

This paper cites Classification of diseases.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Classification of diseases

Reference 13

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Source-reported events for the cited work

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Observation d0a8702f-21c5-4b49-94f6-74f7afe1a38e · outbound

This paper cites Proceedings of the 2021 ACM Conference on fairness, accountability, and transparency.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Proceedings of the 2021 ACM Conference on fairness, accountability, and transparency

Reference 14

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Observation b91e70c7-eeea-4cf3-affd-887f14b8c6aa · outbound

This paper cites Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment

Reference 15

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Observation 18e231f5-ad1a-4a06-a7e4-713bbf78a5e1 · outbound

This paper cites The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem

Reference 16

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Observation 718bc582-691d-4e64-9f53-c2e4b9998e57 · outbound

This paper cites Large language models encode clinical knowledge.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Large language models encode clinical knowledge

Reference 17

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Observation 4b4055dc-e1f0-4eba-83ea-040df2e4a104 · outbound

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

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Large Language Models lack essential metacognition for reliable medical reasoning

Reference 18

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Observation 88144aa9-edb9-4140-a320-54a2c50cf541 · outbound

This paper cites Medical Misinformation in AI-Assisted Self- Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Medical Misinformation in AI-Assisted Self- Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models

Reference 19

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Observation 04b99402-7fee-4477-8eb5-4f7256f8c97d · outbound

This paper cites Analysis of cases of harm associated with use of health information on the internet.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Analysis of cases of harm associated with use of health information on the internet

Reference 20

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Observation 7bb8494c-eb74-49ee-bc0d-46ef23d86aab · outbound

This paper cites Large Language Model (LLM)-Powered Chatbots Fail to Generate Guideline-Consistent Content on Resuscitation and May Provide Potentially Harmful Advice.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Large Language Model (LLM)-Powered Chatbots Fail to Generate Guideline-Consistent Content on Resuscitation and May Provide Potentially Harmful Advice

Reference 21

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Observation f666801e-bcb1-405d-85e5-fe6c3d785cf2 · outbound

This paper cites Epub 2023 Nov 6.

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Epub 2023 Nov 6

Reference 763

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Observation b3274267-60be-4249-be21-93d8f4f82e85 · outbound

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A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models Unresolved cited work

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.