Author

Qin-Zhen Ma

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Preprint Sep 2026

Guardrailed Meta-Agent Loops: Stress-Testing Policy Pinning, Budget Bounds, and Crash Recovery

These findings show why successful outcome recovery is insufficient evidence of exactly-once execution, and establish conformance within one calibrated deterministic testbed, rather than general safety or real-world self-improvement.

Qin-Zhen Ma, Jia-Lin Wu · 0 citations

#artificial intelligence Preprint Sep 2026

When Validation Stops Learning: Auditing Update Admission for Continual Embodied Agents

This work argues that update admission must be assessed through both error control and retained learning opportunities at a stated interaction budget, and identifies a concrete failure: a range-based confidence gate cannot certify unchanged old-task behavior within otherwise substantial budgets.

Qin-Zhen Ma, Rui-Hai Wu · 0 citations