| title: "Reproduction - Gradient Flow Sampler-based Distributionally Robust Optimization" | |
| emoji: 🎯 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: static | |
| pinned: false | |
| tags: | |
| - trackio | |
| - trackio-logbook | |
| - open-experiment | |
| - icml2026-repro | |
| - paper-QRtzkKrbJi | |
| # Gradient-flow DRO reproduction | |
| A version-locked proof, rate, flow-time, half-bridge, and primary-experiment audit for all six registered claims. | |
| ```bash | |
| python3 -m pip install -r requirements.txt | |
| PYTHONWARNINGS=error python3 reproduce.py --output-dir replay-check | |
| ``` | |
| The three CIFAR-10 PGD plots are pinned primary v1 artifacts. The exact Gaussian and discrete calculations independently audit mechanisms and are not mislabeled as CIFAR reruns or universal proofs. | |