Integrity report for CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities

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

arXiv:2606.04460 · pith:2026:DVLEMRVNHMRGJEJDAXBCPKBPWC

0Critical

0Advisory

4Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 17:51:08.798189+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 12:57:24.421593+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 02:35:37.529032+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 02:28:44.429591+00:00

Findings

No public integrity findings for this paper.

Signed record

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