Integrity report for CounterCount: A Diagnostic Framework for Counting Bias in Vision Language Models

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.17826 · pith:2026:EAOAA6PGX2GKYP4KQG2IF2A2NW

0Critical

0Advisory

5Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 06:39:38.888980+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 15:58:09.748003+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 14:32:46.498347+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 11:03:24.244645+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 07:23:23.932982+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/EAOAA6PG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.