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4DThinker is a new framework that enables vision-language models to perform dynamic spatial reasoning using 4D latent mental imagery. The paper introduces scalable data generation and novel fine-tuning methods, including 4D Reinforcement Learning, to improve model performance on complex dynamic tasks.