Integrity report for VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static Environments

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

arXiv:2605.30506 · pith:2026:MXGDUFAM2WNBDHN73PKXFCX72X

0Critical

0Advisory

3Detectors run

2026-06-01Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 19:25:48.832561+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 03:35:04.862030+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 02:47:02.772504+00:00

Findings

No public integrity findings for this paper.

Signed record

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