Integrity report for EgoAdapt: A Multi-Scene Egocentric Adaptation Method for CVPR 2026 HD-EPIC VQA Challenge

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

arXiv:2605.24500 · pith:2026:5DHH6GFBWCVGYJ4253F4HDBRHL

0Critical

0Advisory

2Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 04:34:05.755384+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 01:43:57.971585+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5DHH6GFB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.