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This paper proposes a unified path-integral framework for generative modeling, showing that flow-based, diffusion-based, variational, and adversarial models arise from different evaluation principles of a single master action. It derives a one-loop correction that reduces tree-level error dramatically and introduces a response-weighted score-matching objective.