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Integrity report for GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning

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

arXiv:2605.03403 · pith:2026:KZPVITFKGLIULSSP4T46XSM6WS

0Critical
0Advisory
3Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 13:42:07.424276+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 01:01:22.216932+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 15:26:23.986363+00:00

Findings

No public integrity findings for this paper.

Signed record

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