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Paper Citation Record · LEDGER

EyeGPT: Ophthalmic Assistant with Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.00840.

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

pith.paper-citation-record.v1
2403.00840 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:32:31.979258Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:28:50.667856Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53ef383a-077d-49b6-bcd6-a1d5c0d4fc75 · inbound

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis cites this paper.

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis EyeGPT: Ophthalmic Assistant with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T13:32:31.979258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:32:31.979258Z digest=sha256:4de017d488ca2601cd5f86ea85f9bb04e0411469dcd93fadafe71bfd4f26435e

Observation 4fbba0a1-01a9-43d9-acd1-4396a2de224a · inbound

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning cites this paper.

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning EyeGPT: Ophthalmic Assistant with Large Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:28:50.835793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:28:45.969695Z digest=sha256:733c0acff986d8ed8a7ca7e10b81fc30ddfb7bb91e591b02b9dd64c86416b47b