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The author benchmarked Ox Alpha on SWE-bench Verified Mini, achieving a 96% resolution rate, but raises concerns about the score's validity due to data contamination, small sample size, and non-comparable baselines.
This paper releases an open eleven-structure cardiac CT statistical shape model and compares shape completion methods, demonstrating that a closed-form conditional-Gaussian estimator outperforms deep learning approaches like variational autoencoders.