A behavioral specification for AI agents in high-compliance environments. Uses semantic primitives to constrain probabilistic LLMs with deterministic guardrails while preserving human accountability.
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Updated
Jul 28, 2026
A behavioral specification for AI agents in high-compliance environments. Uses semantic primitives to constrain probabilistic LLMs with deterministic guardrails while preserving human accountability.
14+ candidate semantic dualities across 6 algebraic layers, 72 primitives connected by a DAG, validated via 8 domains + 3 negative controls (DVS), Bayesian model comparison (BF=121), and a 72-bit triadic head over GPT-2 Medium / GPT-Neo
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