Integrity report for VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training

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

arXiv:2606.04708 · pith:2026:UZ6JMHT55V7GBMIJ4SSGAE3IGK

0Critical

0Advisory

5Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 21:09:33.986556+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 11:51:07.290946+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 08:57:20.799961+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 02:08:44.039814+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 01:35:37.496997+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UZ6JMHT5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.