Same Predictions, Different Reasons: The Effect of Quantization on Model Explanations
A systematic evaluation on how static PTQ affects the interpretability / explainability of five widely used CNN architectures shows that architecture selection is as important as the quantization strategy, and shows that classification accuracy is not a reliable indicator of interpretability stability under reduced precision.