Formal framework demonstrates 0% false allow rate in LLM agents, suggesting robust decision governance and compliance.
We introduce Epistemic Control Barrier Functions (Epistemic CBF), a formal framework extending Control Barrier Functions from physical safety to epistemic safety for LLM agents. The DDGK (Deterministic Decision Governance Kernel) implements this framework achieving 0% False Allow Rate across 1,200+ agent decisions. We further introduce Legal Barrier Functions for ethical/legal compliance. No prior art found for this CBF formulation applied to LLM epistemic states.
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Steurer et al. (2026) studied this question.
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