Integrity report for How to Utilize Failure Demo Data?: Effective Data Selection for Imitation Learning Using Distribution Differences in Attention Mechanism

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

arXiv:2605.07560 · pith:2026:J7VTRF22R37Z7BDECH37PNVSPY

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 10:42:02.849982+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 05:39:56.508846+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 16:31:18.566672+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 11:41:48.732755+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/J7VTRF22R37Z7BDECH37PNVSPY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.