The LaDiR framework integrates latent diffusion models with existing LLMs to overcome autoregressive decoding limits. It replaces linear token generation with a structured latent reasoning space. This allows the model to revisit and refine earlier reasoning steps holistically. Practitioners gain a method for more efficient exploration of diverse solutions during complex chain-of-thought tasks.