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Integrity report for Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study

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

arXiv:2605.16011 · pith:2026:CD2SJLH6NCGPL4ZYGWA5TMUEXR

0Critical
0Advisory
5Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 17:40:44.972798+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 20:02:37.093302+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 04:24:20.139578+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 20:09:21.699249+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 17:22:31.710329+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CD2SJLH6NCGPL4ZYGWA5TMUEXR/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.