Integrity report for BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks

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

arXiv:2606.02947 · pith:2026:JETOM6VMXXS4E3IDGNHKDG2YDO

0Critical

0Advisory

3Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 07:09:17.743927+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 18:57:08.432883+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 03:35:24.461532+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JETOM6VM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.