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Paper Citation Record · LEDGER

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10083.

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

pith.paper-citation-record.v1
2402.10083 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 2026-08-06T19:21:57.110719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:49:33.873631Z

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 8c35e0d5-0ae9-4b7b-b357-ddc56a28fdec · inbound

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity cites this paper.

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:57.110719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:57.110719Z digest=sha256:0667a812ced3ca51744939c023dd43ac96752d4c2b273ac11faf88e12873fa13

Observation af74de0c-754f-47e1-9860-375955a7b80b · inbound

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa cites this paper.

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:49:33.877361Z

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=2026-05-14T22:48:41.826046Z digest=sha256:b2f346d83350dea25ef4eac268917b40ec8b719908efd5e5f1193c6472c1dbf7