In cognitive science, human thought processes are commonly divided into two systems: the fast, intuitive System 1 and the slower, analytical System 2. Recent research has shown that incorporating System 2-style processing into Transformers, including large language models (LLMs), can significantly improve their reasoning abilities. However, models that fully emulate System 2 thinking tend to demand substantial computational resources and exhibit slower res