Evaluating Reasoning Structures for a High-Stakes Application

A large language model is tasked with solving a complex logic puzzle where intermediate conclusions can be reused across different lines of reasoning, and some reasoning paths might lead back to reconsider earlier assumptions. Which data structure would be most effective for representing the model's reasoning process in this scenario, and why?

Comparing Reasoning Structures in Language Models