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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.07651.

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

pith.paper-citation-record.v1
2608.07651 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:30:38.712757Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved11
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29c6cd13-84d5-4396-9b5d-5134f037ac03 · outbound

This paper cites Ophthalmology,.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Ophthalmology,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.818596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0182e1e2-fecf-4f07-84c4-b80d47f9e113 · outbound

This paper cites The Lancet Global Health,.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography The Lancet Global Health,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.776164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 42c793dc-1a8f-4ff3-8042-461dab66a903 · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Rethinking the Inception Architecture for Computer Vision

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T00:30:38.695021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 073d0508-3eb1-49c3-ba2d-406d363af92b · outbound

This paper cites Nature medicine, 2026: p.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Nature medicine, 2026: p

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.571384Z digest=sha256:4c42420c74fe8f02f1f35a999d1a452e5780e0c42fcee8dff739eda53b0950b0

Observation 32ec53d8-5309-4ca1-9654-4c3461230c16 · outbound

This paper cites Ophthalmology Science, 2026: p.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Ophthalmology Science, 2026: p

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.717008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b08107a4-16d7-466f-b107-07217fbbacb8 · outbound

This paper cites The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness

Reference 15

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unresolved
no resolver link, observed 2026-08-11T00:30:38.588132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba12d487-f707-43df-9c44-fedae87325ee · outbound

This paper cites arXiv preprint arXiv:2503.05777,.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography arXiv preprint arXiv:2503.05777,

Reference 19

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no resolver link, observed 2026-08-11T00:30:38.596984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c7736b8-2ca6-4de5-b063-a9407f97361a · outbound

This paper cites an unresolved cited work.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:30:39.531961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.689381Z digest=sha256:bff07ca4cbff2a2c88c6b4580171273d1c1ab4571d66be1c6c7fa907bfce3481

Observation d110de8f-bfb0-4c5d-8268-2781dd930c60 · outbound

This paper cites arXiv preprint arXiv:2510.09404,.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography arXiv preprint arXiv:2510.09404,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T00:30:38.603696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:30:38.603696Z digest=sha256:ff9294170faeab62a70bc0dcac8d2eb4e083f4b5f7f5fcc3aff822b61873a8ac

Observation 84956d03-7fd1-4a94-865f-abbce870d5c5 · outbound

This paper cites an unresolved cited work.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:30:39.503288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 497611ac-3af9-4fbf-9cad-0c5f0d9a42b3 · outbound

This paper cites An LLM Compiler for Parallel Function Calling.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography An LLM Compiler for Parallel Function Calling

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T00:30:38.611401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62cde2d6-d71a-45c2-bff8-f7350a933a10 · outbound

This paper cites arXiv preprint arXiv:2601.02749,.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography arXiv preprint arXiv:2601.02749,

Reference 26

Resolution
verified exact
raw_fallback, observed 2026-08-11T00:30:39.150881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.618719Z digest=sha256:39f0a1b7409e199eae5532f13cdefad51d139231a1d63f18c1037f7f1b4cc31f

Observation cd98c52f-d738-4352-b0e5-5c3ded922731 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T00:30:38.625184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:30:38.625184Z digest=sha256:5124a4cf11d47d37203d54b7c805794b3ecf324d48c353285c3afd7d08dff17f

Observation b649eb9e-e6ea-4059-93c1-4ebab03f56a0 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T00:30:38.631702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:30:38.631702Z digest=sha256:632963bdb7899c9f1cd2963262ceb0271411c90b6cc578d634565c6f301c10f4

Observation f67537d5-9041-44c1-8089-04ff9592f5fc · outbound

This paper cites March 17, 2026; Available from: https://openai.com/index/introducing-gpt-5-4-mini-and-nano/.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography March 17, 2026; Available from: https://openai.com/index/introducing-gpt-5-4-mini-and-nano/

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.689090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.637641Z digest=sha256:9245f5a74ea0fa381d44c66f6e64ae7a7e61605483c8416d7e161364034eba43

Observation 217807d8-091a-454a-a8fb-26587c05fa3b · outbound

This paper cites Origa-light: An online retinal fundus image database for glaucoma analysis and research.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Origa-light: An online retinal fundus image database for glaucoma analysis and research

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.653441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.643888Z digest=sha256:8b4fbe04b4fbc9cd7d4f154c7d04845e16d3e863a563e4ea824257cebc2cca8b

Observation aaa8d99d-6765-4cd2-81b4-b11f27c938ac · outbound

This paper cites RIM-ONE: An open retinal image database for optic nerve evaluation.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography RIM-ONE: An open retinal image database for optic nerve evaluation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.632509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.649445Z digest=sha256:80a329775ca77821cbf0d4fdb7ab3c0c65097d66af1c04646e86b15b282313ae

Observation e046a145-20fc-49fb-9634-9ee63672d674 · outbound

This paper cites FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:30:39.609240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.659244Z digest=sha256:4dc7ac7936ac9b8bedc431c280a5361f899a11e89277f5c0152a83369dda2408

Observation 06f21712-dd31-4a53-b4cf-62dd2b66f6d5 · outbound

This paper cites an unresolved cited work.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:30:39.471394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.712757Z digest=sha256:b88e30d5f245b8b5e83c2f9d726d3d61bb3a47257b73bfc90e156819ae63550c

Observation 205deec7-b7d8-4459-8d3e-207e5fa870b6 · outbound

This paper cites an unresolved cited work.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:30:39.581352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1c9f0b0f-53ce-414e-a4df-1ba6d94a5e3b · outbound

This paper cites medRxiv, 2024: p.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography medRxiv, 2024: p

Reference 44

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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 2026-08-18T06:34:40.430872+00:00.

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

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

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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local_arxiv, observed 2026-08-11T00:30:38.980685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:30:38.679649Z digest=sha256:45e4bd66f4da571f4f96d2683bceeab7cb76371be43783bd68c52de4d0050935

Observation c32c28d7-8645-4c75-bc16-827907d613d1 · outbound

This paper cites 2081-2090.

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography 2081-2090

Reference 2014

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T00:30:39.795378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.