A reproducible Lottery Ticket Hypothesis retest on handwritten digits. The dense
network is trained, globally pruned by weight magnitude to 20% of its connections,
rewound to its exact initial weights, and retrained. An equally sparse random mask
is trained from the same initialization as the causal control.
The saved report measures clean accuracy and Gaussian-noise accuracy for all three
models. The Space runs them side by side on identical held-out… See the full description on the dataset page:
https://huggingface.co/datasets/ARotting/lottery-ticket-digits-test.