Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:30:38.712757Z
Paper Citation Record · LEDGER
An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography
As of 19 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- 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 2026-08-19T06:32:44.657259+00:00.
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.
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
- raw_fallback, observed 2026-08-11T00:30:39.750564Z
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 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 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:30:38.588132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:30:38.596984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-19T06:32:44.657259+00:00.
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.
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 2026-08-19T06:32:44.657259+00:00.
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.
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 2026-08-19T06:32:44.657259+00:00.
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.
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.
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 2026-08-19T06:32:44.657259+00:00.
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 2026-08-19T06:32:44.657259+00:00.
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 2026-08-19T06:32:44.657259+00:00.
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 2026-08-19T06:32:44.657259+00:00.
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 2026-08-19T06:32:44.657259+00:00.
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 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:30:39.556843Z
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 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
- Resolution
- metadata mismatch
- 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 2026-08-19T06:32:44.657259+00:00.
Observation c32c28d7-8645-4c75-bc16-827907d613d1 · outbound
This paper cites 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 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.