AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

PathoArgus-Bench

PathoArgus-Bench evaluates evidence-grounded visual reasoning in whole-slide pathology. It comprises 22,078 multiple-choice questions from 4,913 patients across 15 TCGA projects, testing availability, accessibility, use, and responsiveness of evidence under a fixed reader budget.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Recorded attention

Observed on: 2026-10-12

Hugging Face downloads · 30 days before observation
48

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Dated attention observations, not live counts or benchmark scores.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-08-18
Collected
2026-10-14
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.