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Integrity report for DarkLLM: Learning Language-Driven Adversarial Attacks with Large 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:2605.18868 · pith:2026:JN7UP5WXLB5GNGZF2LG6BAESN2

0Critical
0Advisory
4Detectors run
2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 19:01:59.720990+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 18:40:20.336435+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 05:42:22.186674+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 03:35:27.845033+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JN7UP5WX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.