SEP 4, 2026 · PREPRINT
Phase Transition Frequency as a Training Time Predictor of Test Accuracy in ResNets
arXiv
This is an empirical observational study of a training dynamics proxy in neural networks, with correlational evidence across limited benchmarks and no causal inference or clinical translation; the finding is domain-specific to computer vision and does not address a clinical or health outcome.
PreliminaryArunan J
Reported
Pearson correlation, CIFAR-10r = −0.84
p-value, CIFAR-10p < 10−8
Sample size, CIFAR-1030