Author

M. Bouke

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#artificial intelligence Preprint Sep 2026

A Competing-Hazards Systematization of Loss of Control in Autonomous Agents

A common framework in which each attempt ends in approved completion, safe stopping, scope escape, or continuation is introduced, which formalizes the framework as a discrete-time competing-hazards model and derive escape probability within a retry budget, a model-conditional safe-budget limit, and conditions for estim...

M. Bouke · 0 citations

Jul 2026

Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP)

GASP, a span-level detector that scores each answer sentence by how strongly its likelihood depends on the retrieved evidence, is introduced, showing GASP is best suited to outputs constructed from the retrieved context rather than answers recoverable from parametric knowledge.

M. Bouke · arXiv.org · 1 citation