Integrity report for Actor-Identifier-Critic Reinforcement Learning for Adaptive Model-Free Optimal Control of Nonlinear Systems with Stochastic Packet Dropouts

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

arXiv:2605.28569 · pith:2026:3IFSD5FF6PV4XM24MJI3EO6N5I

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 20:35:58.362666+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 00:48:06.403069+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 09:50:25.784281+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 06:23:51.456766+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 02:44:42.726810+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-28 02:34:19.048523+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/3IFSD5FF6PV4XM24MJI3EO6N5I/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.