Paper Citation Record · LEDGER

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2507.01278.

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

pith.paper-citation-record.v1
2507.01278 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:30:38.679649Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:30:38.969652Z

Reference resolution

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation bc30997c-1589-461f-ba13-ddbfb909ef80 · outbound

This paper cites IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045

Reference 1

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Observation 42c10857-f3c6-4738-b567-5c1c8df1a4c3 · outbound

This paper cites Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045: Systematic Review and Meta-analysis.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045: Systematic Review and Meta-analysis

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:31.059143Z

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Observation 9a247c4a-e2e2-44e4-9550-9aa6e230003f · outbound

This paper cites Artificial intelligence for telemedicine diabetic retinopathy screening: a review.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Artificial intelligence for telemedicine diabetic retinopathy screening: a review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:30.911875Z

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Observation 1b663e11-8668-4f50-a1bc-67cd3f77cc34 · outbound

This paper cites The pathophysiology and treatment of glau- coma: a review.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening The pathophysiology and treatment of glau- coma: a review

Reference 4

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Observation 7de6c0f9-a5f6-4871-bc10-91b6b1f0024e · outbound

This paper cites Evaluating the outcome of screening for glau- coma using colour fundus photography-based referral criteria in a teleophthalmology screening programme for diabetic retinopathy.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Evaluating the outcome of screening for glau- coma using colour fundus photography-based referral criteria in a teleophthalmology screening programme for diabetic retinopathy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:30.593601Z

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Observation 6e318383-e2b9-464f-9519-41ddd65892c8 · outbound

This paper cites The effect of optic disc diameter on ver- tical cup to disc ratio percentiles in a population based cohort: the Blue Mountains Eye Study.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening The effect of optic disc diameter on ver- tical cup to disc ratio percentiles in a population based cohort: the Blue Mountains Eye Study

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:30.392168Z

Source-reported events for the cited work

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Observation 5d83a6d9-bcf6-4bbd-b946-c9effc86ff9d · outbound

This paper cites Language models are few-shot learners.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Language models are few-shot learners

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:30.249606Z

Source-reported events for the cited work

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Observation 489e6e9d-303d-4fd9-8b9d-07af4763dea5 · outbound

This paper cites Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:30.031719Z

Source-reported events for the cited work

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Observation 35ae19b8-1c74-44ff-8940-1e13bede6e03 · outbound

This paper cites Performance of ChatGPT-4 in answering questions from the Brazilian National Examination for Medical Degree Revalidation.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Performance of ChatGPT-4 in answering questions from the Brazilian National Examination for Medical Degree Revalidation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:29.892756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b31e7265-3c1c-4117-82e9-ff1f3a78a3e7 · outbound

This paper cites Evaluating the performance of ChatGPT in ophthalmology: An analysis of its successes and shortcomings.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Evaluating the performance of ChatGPT in ophthalmology: An analysis of its successes and shortcomings

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:29.631095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32dd8c54-9145-4a19-860e-71abfcfbb9ba · outbound

This paper cites Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.JAMA.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.JAMA

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:29.374798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a33afbe-06e5-4e60-bf10-6c83df75bd24 · outbound

This paper cites Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:29.198004Z

Source-reported events for the cited work

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Observation c80f3fe8-6a09-4a7e-8818-962b59643fde · outbound

This paper cites Interobserver agree- ment for the clinical assessment of optic discs.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Interobserver agree- ment for the clinical assessment of optic discs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:29.029922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d05779eb-5cca-493a-925f-5269e4bfb668 · outbound

This paper cites Diagnostic accuracy of optic nerve head imaging for glaucoma: a systematic review and meta-analysis.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Diagnostic accuracy of optic nerve head imaging for glaucoma: a systematic review and meta-analysis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.908082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c414a6b1-f632-4b4e-9e11-32f4239b2037 · outbound

This paper cites Evaluating Large Language Models for Simulated Ophthalmic Decision-Making.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Evaluating Large Language Models for Simulated Ophthalmic Decision-Making

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.716303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6eb5a6a-820c-4dcb-8fbc-6b8a8c3ed229 · outbound

This paper cites GPT-4 Technical Report.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening GPT-4 Technical Report

Reference 16

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Source-reported events for the cited work

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Observation 24d0cc03-4c84-4637-b614-2e37b4e998a0 · outbound

This paper cites mBRSET: The Brazilian Ophthal- mological Dataset for Diabetic Retinopathy and Multimodal Retinal AI.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening mBRSET: The Brazilian Ophthal- mological Dataset for Diabetic Retinopathy and Multimodal Retinal AI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.514978Z

Source-reported events for the cited work

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Observation 569745f9-136e-40c0-a803-7d00d69354f9 · outbound

This paper cites Large Language Models in Medicine: Current Limitations and Future Potential.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Large Language Models in Medicine: Current Limitations and Future Potential

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.314245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fbd75cf-5f9d-446a-8ad0-40011cb1cfc6 · outbound

This paper cites A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.190253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 996b3696-e781-4230-8441-33969414d64f · outbound

This paper cites Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales.

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:28.085339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 261e25f6-db37-4a60-8715-4bb6e084518d · inbound

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography cites this paper.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.