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This paper analyzes numerical integration errors in Flow Matching by decomposing the velocity Jacobian into strain and vorticity, proving that strain drives exponential error growth while vorticity contributes linearly. The authors propose a weighted Jacobian regularizer emphasizing strain suppression, which reduces integration error and improves FID on CIFAR-10.