Published research.

Bounded Confidence Envelopes for Large Language Model Inference

Introduces bounded confidence envelopes — a deterministic governance mechanism that wraps LLM inference with dual-threshold confidence gating, hysteresis-based mode management, and hash-chained evidence logging. Demonstrates measurable accuracy improvement and hallucination filtering on standardized benchmarks with formally verified safety properties.