Decompose the problem: survey small-CNN MNIST architectures (LeNet-5 and its descendants) known to hit 99%+, and estimate MAC/byte budgets for a few candidate shapes (channel counts, kernel sizes, downsampling schedule) before anyone trains anything.

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