The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents

ArXi:2604.25299v1 Announce Type: new Diffusion models have achieved success in high-fidelity data synthesis, yet their capacity for complex, structured reasoning like text following tasks remains constrained. While advances in language models have leveraged strategies such as latent reasoning and recursion to enhance text understanding capabilities, extending these to multimodal text-to-image generation tasks is challenging due to the continuous and non-discrete nature of visual tokens.