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Paper Citation Record · LEDGER

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2501.07931.

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

pith.paper-citation-record.v1
2501.07931 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:31:27.497325Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

49 of 49 outbound references displayed

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  • verified fuzzy38
  • unresolved8
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b684123-7180-4f94-b481-f4b9bdc4b12e · outbound

This paper cites Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

Reference 1

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Observation 33e559bd-6f6d-404c-83b3-95363e27d481 · outbound

This paper cites GPT-4 Technical Report.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

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Observation 7a9e9fdb-d940-43e2-95ed-432afdd79849 · outbound

This paper cites Diabetes in australia, 2024.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Diabetes in australia, 2024

Reference 3

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Observation 9921d1f6-7d67-43ce-a8e4-e9997d3b4f45 · outbound

This paper cites Comparing physician and artificial intel- ligence chatbot responses to patient questions posted to a public social media forum.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Comparing physician and artificial intel- ligence chatbot responses to patient questions posted to a public social media forum

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7abaa473-5053-4d81-a970-09264700cd52 · outbound

This paper cites Credibility of chatgpt in the assessment of obesity in type 2 diabetes accord- ing to the guidelines.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Credibility of chatgpt in the assessment of obesity in type 2 diabetes accord- ing to the guidelines

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 813777cc-2700-4006-9026-9466ad3b4941 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021

Reference 6

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Source-reported events for the cited work

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Observation c6c6fcb2-5b62-4e36-a8a2-417c4b90c02f · outbound

This paper cites A meta-analysis of the effec- tiveness of health belief model variables in predicting behavior.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations A meta-analysis of the effec- tiveness of health belief model variables in predicting behavior

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 781e22f1-cfd8-4892-82cd-dd5015d3c953 · outbound

This paper cites Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8df45f04-2a00-4a5f-ac97-0db0ec99e99f · outbound

This paper cites Exploring capabilities of large language mod- els such as chatgpt in radiation oncology.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Exploring capabilities of large language mod- els such as chatgpt in radiation oncology

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e72916dc-a176-40c4-84e8-976df2bf9e36 · outbound

This paper cites an unresolved cited work.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ea4cff34-e6d5-42d1-bf11-5c55478e9222 · outbound

This paper cites Exploring the clinical translation of generative models like chatgpt: promise and pitfalls in radiology, from patients to population health.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Exploring the clinical translation of generative models like chatgpt: promise and pitfalls in radiology, from patients to population health

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ff0a184c-0933-4036-b233-946169d116fc · outbound

This paper cites The role of chatgpt, gen- erative language models, and artificial intelligence in medical education: a conversation with chatgpt and a call for papers.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations The role of chatgpt, gen- erative language models, and artificial intelligence in medical education: a conversation with chatgpt and a call for papers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8710037b-4350-40d4-8aa6-a71827d06ffc · outbound

This paper cites Enhancing Retrieval Processes for Language Generation with Augmented Queries.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Enhancing Retrieval Processes for Language Generation with Augmented Queries

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c629ef67-5c36-4a07-903b-5393f8e59fe0 · outbound

This paper cites Gilson, C.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Gilson, C

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b3a9e795-28b0-445a-a6ad-e01bf2341cc8 · outbound

This paper cites May chatgpt be a tool producing medical information for common inflamma- tory bowel disease patients’ questions? an evidence- controlled analysis.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations May chatgpt be a tool producing medical information for common inflamma- tory bowel disease patients’ questions? an evidence- controlled analysis

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 16163ff5-4517-478c-bc25-f3a7f35238e1 · outbound

This paper cites A new taxonomy for technology-enabled diabetes self-management interven- tions: results of an umbrella review.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations A new taxonomy for technology-enabled diabetes self-management interven- tions: results of an umbrella review

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bad99ee9-42fd-40a2-a0be-ce0db75c424e · outbound

This paper cites National stan- dards for diabetes self-management education and sup- port.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations National stan- dards for diabetes self-management education and sup- port

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6fa8f693-6081-45f4-b585-e896babeaa32 · outbound

This paper cites Artificial intelligence for clinical trial de- sign.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Artificial intelligence for clinical trial de- sign

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 04f82987-f316-41a5-bd16-1be9e8c1e92d · outbound

This paper cites Do we still need clinical language models? In Con- ference on Health, Inference, and Learning , pages 578–.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Do we still need clinical language models? In Con- ference on Health, Inference, and Learning , pages 578–

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1c0db362-5981-48d6-81bb-5dc24b7ba833 · outbound

This paper cites A generative pretrained transformer (gpt)–powered chat- bot as a simulated patient to practice history taking: Prospective, mixed methods study.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations A generative pretrained transformer (gpt)–powered chat- bot as a simulated patient to practice history taking: Prospective, mixed methods study

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 467017d3-df59-4952-b97f-5966c115e23f · outbound

This paper cites Chatgpt and antimicrobial advice: the end of the con- sulting infection doctor? The Lancet Infectious Dis- eases, 23(4):405–406, 2023.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Chatgpt and antimicrobial advice: the end of the con- sulting infection doctor? The Lancet Infectious Dis- eases, 23(4):405–406, 2023

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 25f01803-797b-438c-ba99-0924f5e70a4b · outbound

This paper cites Chatgpt- versus human-generated answers to frequently asked questions about diabetes: A turing test-inspired sur- vey among employees of a danish diabetes center.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Chatgpt- versus human-generated answers to frequently asked questions about diabetes: A turing test-inspired sur- vey among employees of a danish diabetes center

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1ea425e9-8b84-4bd8-89b4-ada9c01b092b · outbound

This paper cites Twelve tips to lever- age ai for efficient and effective medical question gen- eration: A guide for educators using chat gpt.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Twelve tips to lever- age ai for efficient and effective medical question gen- eration: A guide for educators using chat gpt

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f0c8672e-f88a-496c-8477-9b2da7916a64 · outbound

This paper cites The accuracy and potential racial and ethnic biases of gpt-4 in the diagnosis and triage of health conditions: Evaluation study.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations The accuracy and potential racial and ethnic biases of gpt-4 in the diagnosis and triage of health conditions: Evaluation study

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b5779faf-7d9f-482d-b108-132b9e343b81 · outbound

This paper cites Chatgpt makes medicine easy to swallow: an exploratory case study on simplified ra- diology reports.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Chatgpt makes medicine easy to swallow: an exploratory case study on simplified ra- diology reports

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b254b548-d5ca-404d-b363-0cdd7a61d549 · outbound

This paper cites Assessing the accuracy and reliability of ai-generated medical responses: an evaluation of the chat-gpt model.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Assessing the accuracy and reliability of ai-generated medical responses: an evaluation of the chat-gpt model

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7e8cfa7c-0175-42e1-b951-6ec94f15ef82 · outbound

This paper cites Using chatgpt to predict the future of diabetes technology.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Using chatgpt to predict the future of diabetes technology

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.907890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.402911Z digest=sha256:5c3f7bbcd84b7201044e12d967ba642195355fc4056790d17efe541a7c3e0af7

Observation de99ea40-5081-4670-90f8-ecb66dec37ff · outbound

This paper cites Can chatgpt help in the awareness of diabetes? Annals of Biomedical Engineering, 51(10):2125–2129, 2023.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Can chatgpt help in the awareness of diabetes? Annals of Biomedical Engineering, 51(10):2125–2129, 2023

Reference 28

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raw_fallback, observed 2026-08-10T20:31:27.895818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.406898Z digest=sha256:6b60ad296b998fadf81d6299a260d965a841ca44fff910bfb98e3ee14d5d300c

Observation 612938c3-ef37-4b74-891d-bb5d9b930439 · outbound

This paper cites Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.883128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.410715Z digest=sha256:890dc25db2fb64055c992d26bf5c42dc90f6e40a7c28bb8922e80ea11a45c078

Observation 1afd9950-86fd-4cf2-9e8a-a957eb3e2154 · outbound

This paper cites Trustworthy artificial intelligence and the european union ai act: On the conflation of trustworthiness and acceptability of risk.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Trustworthy artificial intelligence and the european union ai act: On the conflation of trustworthiness and acceptability of risk

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.414549Z digest=sha256:77a01eacbdcbbd30d63d0275f25409c0ddb21d3a71de41befa40e0a871c5c53a

Observation 282e0780-c777-403b-9fde-75e481f0ee2a · outbound

This paper cites an unresolved cited work.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:31:27.858267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.418742Z digest=sha256:73de0cf4c32326c7f21e3d873e8a883107a2a5cb5093f90fa3b085eb42394bc1

Observation 7dee3ff7-1623-44b9-96bc-cfe7badc2f0c · outbound

This paper cites Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.846676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.422680Z digest=sha256:50559f69b7d0f99097fef69be4a0ac5926723843b73bed8b411dbaa9ef44afae

Observation d8cdd6b0-b260-4304-9125-5acd506fccd3 · outbound

This paper cites Can large language models reason about medical questions? Pat- terns, 2023.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Can large language models reason about medical questions? Pat- terns, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.834182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.426833Z digest=sha256:3f66ac5721f125bd750d9029d75297255c3fed622430ce6e45d2557029f091a7

Observation 5f712ff7-a3b2-4973-a7f2-dcf41ca6743c · outbound

This paper cites Benchmarking large language models’ performances for myopia care: a comparative analysis of chatgpt-3.5, chatgpt-4.0, and google bard.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Benchmarking large language models’ performances for myopia care: a comparative analysis of chatgpt-3.5, chatgpt-4.0, and google bard

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.820175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.432778Z digest=sha256:0137266b795ad32f3d97c06b7aeab61f287b15de8ac6c1a71b31d2f0571a3017

Observation afbbf1e1-f061-4006-a9f1-c9c59dfbdb32 · outbound

This paper cites Translating radiology re- ports into plain language using chatgpt and gpt-4 with prompt learning: results, limitations, and potential.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Translating radiology re- ports into plain language using chatgpt and gpt-4 with prompt learning: results, limitations, and potential

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.801428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.437009Z digest=sha256:7a8b1a12dd19bc695f7cac536b3cc577ad354def5d5b7f21ede27ac8ece7283e

Observation 286bfad3-431c-4f92-8396-078bd4c4f2a5 · outbound

This paper cites Empowering personalized pharmacogenomics with gen- erative ai solutions.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Empowering personalized pharmacogenomics with gen- erative ai solutions

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.786217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.441120Z digest=sha256:c34c7c0b4dca428d847445d13ae5a0b4ab3754b2c2ccc91a57f7b1edc8159f35

Observation 0e3adc6f-0e15-4324-8439-60aa365a3992 · outbound

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

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Capabilities of GPT-4 on Medical Challenge Problems

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:27.445208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:27.445208Z digest=sha256:998db2e07a9325912c57c77afc81dfaa6833571d05d13a9b9fccc67f09c196e7

Observation 42ad5f40-ac09-49c3-8dbb-3825b0cb2c34 · outbound

This paper cites Gpt-4o system card.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Gpt-4o system card

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.769668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.449540Z digest=sha256:94a9f843f78d057adba32a0ebe88ee440c2f33e98c31f1c1886d9f317e9fe430

Observation b84e5645-18c2-40e7-883a-55a4a967b2c0 · outbound

This paper cites Is chatgpt an effective tool for providing dietary advice? Nutrients, 16(4):469, 2024.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Is chatgpt an effective tool for providing dietary advice? Nutrients, 16(4):469, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.754877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.453312Z digest=sha256:674c390c45f56acc944665f1dbf739dad46300cd11983b3a9d28d9bfa8228a99

Observation f2824ec8-1e9c-4a66-9985-06c841c61f18 · outbound

This paper cites an unresolved cited work.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:31:27.737771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.457407Z digest=sha256:f9c29a91214a2acef8af92be5c9a862f5e5615c09ed4243facd2c8a7b140323c

Observation 23f1edaa-6569-4e62-8bd9-d81bf82b592f · outbound

This paper cites Retrieval augmented chest x-ray report generation using openai gpt models.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Retrieval augmented chest x-ray report generation using openai gpt models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.724167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.463334Z digest=sha256:7e9e0d629dae51f66b4ef8805094f55e64111e651fc5b8f81039b83e4a734d31

Observation ea050845-03d7-4fe9-baf9-3a15656fef9c · outbound

This paper cites A critical review of chat- gpt as a potential substitute for diabetes educators.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations A critical review of chat- gpt as a potential substitute for diabetes educators

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.710670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.467781Z digest=sha256:b47250300a58f699ea01afc5d89911a4c7347e5a23c904dd458347d2bf5bc138

Observation 1f42e882-3bad-4557-81e7-7ded1ea564cc · outbound

This paper cites Chatgpt and other large language models are double- edged swords.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Chatgpt and other large language models are double- edged swords

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.696760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.471768Z digest=sha256:642dda6928f763c2612792969f8149450fcabbef9ce995c0af8c74b431fd19db

Observation a69ec308-8dfd-4aaf-9a2e-7c9e3b895084 · outbound

This paper cites Potential and pitfalls of chatgpt and natural-language artificial intel- ligence models for diabetes education.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Potential and pitfalls of chatgpt and natural-language artificial intel- ligence models for diabetes education

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.683430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.475958Z digest=sha256:c56e2da113d30641f876da7e06807b5027c6343d56a78917a0d68e737f94fa65

Observation 1b085f5b-ec48-4c27-b0d3-d45466bf63ed · outbound

This paper cites Large language models in medicine.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Large language models in medicine

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:27.479785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:27.479785Z digest=sha256:81e92d900c3a739e9d2ab3b7274c3f8ec31cc17a36d4c47a3256a0907782cc03

Observation b47a79ee-c286-442a-88e8-af444e301124 · outbound

This paper cites Efficient healthcare with large language mod- els: optimizing clinical workflow and enhancing patient care.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Efficient healthcare with large language mod- els: optimizing clinical workflow and enhancing patient care

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.662387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.483419Z digest=sha256:35cdf1098556a9601f46edc1e64a532ab32c087df6249d82683876a8ec7df39b

Observation 175b52b4-f0dd-4a30-a0cc-90d681dc8a94 · outbound

This paper cites Chatgpt: Is this version good for healthcare and re- search? Diabetes & Metabolic Syndrome: Clinical Re- search & Reviews , 17(4):102744, 2023.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Chatgpt: Is this version good for healthcare and re- search? Diabetes & Metabolic Syndrome: Clinical Re- search & Reviews , 17(4):102744, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.649331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.487075Z digest=sha256:63418de16b058db17059a01efe56b95276a40491aecec92a11c5edaccc98634e

Observation 387ccdda-ecf4-4910-9c93-508c315a1657 · outbound

This paper cites Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:31:27.541391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.490764Z digest=sha256:9fe279b05eff5c2a95fb76171240dad247c2546fe48b4b4c47aa9a9e7664e2fb

Observation 0070e1bf-6fb1-42ab-98da-0e707c36c6c8 · outbound

This paper cites Exploring the po- tential of large language models in personalized dia- betes treatment strategies.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Exploring the po- tential of large language models in personalized dia- betes treatment strategies

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.631304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:27.497325Z digest=sha256:126055574c2a0a9251f253c9002aa7c5d8faeaa09855babb85c4ba395558401d

Pith citing papers

No inbound Pith citation observations are available.