A new study from Google AI Research proves that chain-of-thought reasoning helps LLMs retrieve facts already stored in their weights. The researchers found that structured thinking steps act as a retrieval mechanism for latent knowledge. This suggests that model failures often stem from poor decoding rather than missing data. Practitioners should prioritize reasoning prompts over retraining.