# Reflexive Closure

The Coherence Delta: Benchmarking Reflexive Closure in Large Language Models

The current bottleneck in artificial intelligence is not compute, but reliability. For builders and investors, the "hallucination problem" has remained an intractable shadow over the scaling of Large Language Models (LLMs). Conventional benchmarks (MMLU, HumanEval) measure static knowledge retrieval or narrow logic, but fail to predict the breakdown of reasoning in high-entropy, multi-step environments.