The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning
Researchers identify the 'Reasoning Trap,' a fundamental information-theoretic limitation where multi-agent language model debates preserve answer accuracy while degrading reasoning quality. The study introduces the Supported Faithfulness Score metric and Evidence-Grounded Socratic Reasoning framework, demonstrating that closed-system reasoning protocols following standard multi-agent debate structures inevitably lose information fidelity according to the Data Processing Inequality.