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jensandClaude Sonnet 5 db7eb72174 Add mnist_h32 to the test suite
Single-layer Deep stack (28x28->32), weights load fine but genuinely
fail the reconstruction check: error 0.231 vs. mean-baseline 0.067,
worse than the 1.5x tolerance. Unlike norb_small_16h_v2/many (which fail
because no current-format weights exist at all), this one has weights
that load successfully but just don't reconstruct well -- training
params look ordinary (RaoBlackwell, 1000 epochs) and the training data
looks like normal-scale MNIST pixels, so this looks like a genuinely
under-trained or abandoned saved snapshot rather than a test bug.
7/11 pass.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016K8Gu7Qejd11JbdiHZqYAs
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