Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.11186.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:28:48.085423Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:28:49.556000Z
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 d4321c0a-7ddc-4671-b69d-38d1c30a9009 · inbound
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning cites this paper.
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:28:49.676971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 045cbfe1-467d-452f-a9b9-18fba5058bef · inbound
Can Multimodal Large Language Models Understand OCT? cites this paper.
Can Multimodal Large Language Models Understand OCT? Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:30:27.505730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.