Defines generative probability paths as self-consistent when they form random fixed points of admissible variational transport operators and derives associated existence, attraction, and residual bounds.
FastFlow: Accelerating the generative flow matching models with bandit inference,
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Self-Consistent Generative Paths via Admissible Random Variational Transport
Defines generative probability paths as self-consistent when they form random fixed points of admissible variational transport operators and derives associated existence, attraction, and residual bounds.