Integrity report for VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading

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

arXiv:2605.05899

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 13:22:04.437148+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 08:40:45.586336+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 19:31:19.453215+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 13:08:21.627620+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.05899/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.