Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.13650.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:28:47.162607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T10:47:15.104724Z
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 7841898c-32a2-49f9-95e1-2135d941e24b · inbound
HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding cites this paper.
HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:47:15.106185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 620c27bb-70d6-4918-8fb5-5eef302943b4 · inbound
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning cites this paper.
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:28:47.162607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a3dc25-dc94-4109-ad6d-81c2ee77e8ae · inbound
Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis cites this paper.
Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:27:40.699503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.