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      <title>Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning</title>
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      <description>• Abstract Discrete diffusion models typically rely on dimension-wise factorization to avoid computational intractability. • However, we rigorously prove this approach leads to wor</description>
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      <guid>https://cluster-site.onrender.com/posts/overcoming-dimensional-factorization-limits-in-discrete-diffusion-models-through-quantum-joint-distribution-learning/</guid>
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