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 steps holistically. Practitioners gain a more efficient method for exploring diverse solutions in complex chain-of-thought reasoning tasks.