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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-07 23:33:49 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-07 23:33:49 -0500
commitacc86add44e0cac8701307f936029770edd50891 (patch)
tree59ddcebd72975307e4a58dd174af4dbc4d99a304 /results/cifar10/results_cifar10.json
parentd5185a3cc692fe96c93bbc5d7b286b7080ba7458 (diff)
Add minimal worked example: end-to-end protocol usage tutorial
5-epoch DFA training on CIFAR-10 + apply protocol + interpret verdict. Self-contained, runs on CPU in <2 minutes. Demonstrates the API a future paper author would use: 1. train your model (any FA-style method) 2. build eval_batches from your test loader 3. call diagnose(model, eval_batches, headline_acc, frozen_baseline_acc) 4. read report.verdict; walk back if 'needs walk-back' Not run during this session to avoid GPU contention with the in-flight direction-quality and ViT/ResNet experiments.
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