Integrity report for EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models

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

arXiv:2605.25477 · pith:2026:XNIRCRJKT3LQKJRGXFBOB6KBAJ

0Critical

0Advisory

4Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 04:24:20.496083+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 17:50:17.984251+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 12:53:27.480892+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 03:34:04.566928+00:00

Findings

No public integrity findings for this paper.

Signed record

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