Integrity report for EPIC-Bench: A Perception-Centric Benchmark for Fine-Grained Embodied Visual Grounding in Vision-Language Models

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

arXiv:2605.17070 · pith:2026:7VO2VR2TMH47JMXG2KHULANQGG

0Critical

0Advisory

5Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 18:23:15.996444+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 16:29:34.884136+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 16:02:18.903034+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 23:02:37.441747+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 22:33:23.814637+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7VO2VR2T/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.