A Formal Framework Enabling Cost-Efficient Semantic Code Transformation through Hybrid Deterministic-Probabilistic Processing








Abstract


Large Language Models (LLMs) demonstrate impressive reasoning capabilities but lack persistent, structured external memory. Existing agent paradigms (ReAct, Tree-of-Thoughts, Plan-and-Execute)...