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Integrity report for SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation

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

arXiv:2606.06254 · pith:2026:VD6I2VNXXRZDEWOUOBPLOMQRVF

0Critical
0Advisory
5Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-05 17:50:35.119192+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-05 07:51:15.049590+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-05 05:27:38.379418+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 01:49:13.307953+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 01:35:49.496621+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/VD6I2VNXXRZDEWOUOBPLOMQRVF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.