Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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

  • verified exact3
  • verified fuzzy38
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:31:27.618100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.294233Z digest=sha256:7861bec023bfad7ecec7d5afc0abac24b4f8c77fef4fbe8ea07b3a052dce14c3

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:27.300016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:27.300016Z digest=sha256:576f499046c271e0d67898282aba8a1bc2bd5304360a3466cec37ee9a74ba5a1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.269991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.304473Z digest=sha256:e0d0e3c0c031149d0c5dc15d01ccf08f5cf2206e2f0364acc1d719f2e84d5401

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.257205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.309579Z digest=sha256:645223eb204049a00bd49f4dd4d6abe9f9c90b46137078ecb4c1db117abe342f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.243874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.314606Z digest=sha256:46133c0384a0d254e56861a075192c3235b2d5ce5dfe10c153a339b1271dba4c

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:27.320192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:27.320192Z digest=sha256:10e599f99a60ef6810afe79918a77d5a526c92654742193c565556fcd795b09b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.221916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.325225Z digest=sha256:24268193aae450fad8889f9e7cbda294c2505686a28e654f40b9611ecb4e259e

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:27.330149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:27.330149Z digest=sha256:73ab671619e67e4b6892e74fdc44b7415c0c759bd7e94911f8fcd3046cc9234d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.207829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.335200Z digest=sha256:88db47e182a4cd6662a37e40df148e8cb1da05472a74ede29f49c2a0c8c278c4

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:31:28.169098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.339604Z digest=sha256:6c8744da14f93cfe76160651b95c7c28019bd4c48bbb9b9c9c7a8721e168f176

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.153307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.343224Z digest=sha256:48b9ed952d4d79bcf0e6ccaf228270d759288eafcb479345e6ee2683f9c67223

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.134647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.347117Z digest=sha256:3dc05595a056162607a4e60e7c1fe6384e21aaa53506ec3abbec0403f55a83a1

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:31:27.573805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.350239Z digest=sha256:06f814f1cc176caa9c85016c1661160a7f9e45207ff1dab12db9d25accd80062

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.110590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.354060Z digest=sha256:4781bb283d0e0d7346010a7b17e6684da374141be3f0a3e035642b032de54162

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.094588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.357443Z digest=sha256:e4f58d321e1ddaf48674ad369f9a9cdbf36619d7063f9564709bd7d46353712e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.078487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.361088Z digest=sha256:00b96d891c17344bf6f7ac1aaccfd402b7d42ac5a5348ebffd2a5b288e06791d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.064633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.365047Z digest=sha256:3bab1283f2989586dcc3e0f7688d7c339ae42ed9f2f223a5f166d498c6bfac01

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.044301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.368798Z digest=sha256:18424768ee9dc98a9435141a6c28e79a79220eb629003e3bf37a0c1ada380a0e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.032006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.372682Z digest=sha256:77d2d92beb1e243619a0693a7e56c322bc9556ec32d8353382d8d49fcecc4c80

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:28.014752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.376492Z digest=sha256:af4e28751361b4f3b90e146e027621213b167bb9bb06a9ec46cdc95992b09ce4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.998056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.380177Z digest=sha256:f5c92e888efcba3e63440ae407957b2508160bfc9b8602ff6c8470f322186380

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
raw_fallback, observed 2026-08-10T20:31:27.984745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.383786Z digest=sha256:cbf909b49c72ba6c60654838787a9ef5b429c238c53e105605fe15777455329e

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
raw_fallback, observed 2026-08-10T20:31:27.968332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.387673Z digest=sha256:f2043fca8343f8e8f6fca7c7be9c317c874e1ebaca22a6806d0498b1dcdbd660

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
raw_fallback, observed 2026-08-10T20:31:27.954808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.391645Z digest=sha256:b1048943d525ee741964489138d5a2a92d8363d26c71b54424a3d4be4aba208b

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
raw_fallback, observed 2026-08-10T20:31:27.933632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.395351Z digest=sha256:1f933db8007d92366c4ac3c08d440b0d434824b18a230989f62c43e9e778bae8

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
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.920906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.399355Z digest=sha256:0e166ad3964b33f24b9fc0d52031ac33a45b53a2f53a6a614f2aa900a6059fb4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.402911Z digest=sha256:7f72ff880a8b83b9980f37472be86a3574751cd49192a860de2a713ca2ee3c58

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.406898Z digest=sha256:7a8ea52089900bb855c84d53e68ae955666e1e2e0768b224dd792c7ec550f2a7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.410715Z digest=sha256:d3d4e5117cbf1d7a35f1fb843d3343cd1ee3b09ef45eb1d05785edb4b72ad6f6

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
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:27.870084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.414549Z digest=sha256:d1431bc2e8fbaf825cc7e6f4d903079438262c5b32db4c2186326432445bbe6d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.418742Z digest=sha256:76936cdd0055fccc1e40d64424c4ac1c9761be359ebbea4a33f04b09c51e5f6a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.422680Z digest=sha256:a2f0a7a6102c29f96a0aa2bb6f985fff82814db4e2819723f2287947641f8094

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.426833Z digest=sha256:48ba8dcf790b5470e53dbda5780d71330488d2dda20d3a837c2e1b272c6c2246

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.432778Z digest=sha256:45fbd154eb8d1c2fca3e5a3adb5b5f98e41367f8fcc9622a968f01ebef077c60

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.437009Z digest=sha256:e4f451dbaab8fade73edd2248d67103af827b45e4d1eb7441cf40216703512c3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.441120Z digest=sha256:8ea811ea4a503fd9a74d5679f8067a42623b0c527ebbc048ada00779a4518582

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:e20241324743b8aa855998a09297edac4cd4fa7c0a671cace3ec4631523d650f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.449540Z digest=sha256:b7d0457a71bce138b2ced0d5e3e8d3ba68f923d2c123ff54dca2c4d88946474e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.453312Z digest=sha256:320bd11582eff57f3802c863e3dff606f81a8b9d8670dacff8f42698424c54e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.457407Z digest=sha256:08e7682a302661d01ad0c23cc0fef5187e139e9b9827963299c92052348af57a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.463334Z digest=sha256:81bee94aa38190f8033ff0709566a845d0853fbf5dbf252a563814049aa0ed33

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.467781Z digest=sha256:df66ba642ec0d8d6b58eaea2f53a4c180ae108df7c61392c4a7ab97c6562d968

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.471768Z digest=sha256:eee3ff19fcea596be96a0dc5393621bc812a4f8ab994fa2c8e47d2b7abf23b00

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.475958Z digest=sha256:eeec91ee22faa9b4f1855a801a9623ef09b609755517d4dde488df1567e2ea0a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.483419Z digest=sha256:0f6a75305ae6b9ac180180e42aaab8e93d41862edf1094c8b031f9a509c022af

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.487075Z digest=sha256:b766ee6bbad077636532f958e60cfb2aee3c23c047d9c667d8bd9ff201113019

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.490764Z digest=sha256:ecd846afb881bc222e0dcb3078d014f3af7859848e7b482a86c0139962f97228

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:31:27.497325Z digest=sha256:2c8af430f95db06447ffc13568cf91bc699ea4fd6037494a9975e84e3ba1cb93

Pith citing papers

No inbound Pith citation observations are available.