Tests on Coconut and CODI models show they barely use hidden reasoning steps for logical tasks. Forcing these models to stop thinking early rarely changes the final response. High performance stems from specific training data rather than inference-time processing. This suggests latent reasoning is less critical for logic than for mathematics.