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Integrity report for Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS

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

arXiv:2605.25389 · pith:2026:RXR763WLRELB23L3GA6UHRTTZD

0Critical
0Advisory
4Detectors run
2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 04:24:20.641689+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 21:50:18.422661+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 14:23:27.750737+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 03:34:04.669604+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/RXR763WL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.