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Radianis commited on
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Add related paper citation
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README.md
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@@ -34,7 +34,15 @@ Both runners produce JSON and CSV artifacts in the Space working directory. The
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It installs `lbw-guard` from PyPI and does not vendor the local `lbw/` source folder.
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Use GPU hardware for meaningful runtime. CPU can load the app, but training is intentionally capped to tiny smoke settings so users do not accidentally start long CPU jobs.
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It installs `lbw-guard` from PyPI and does not vendor the local `lbw/` source folder.
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## Related Paper
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**Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency**
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- Author: Anis Radianis
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- arXiv: https://arxiv.org/abs/2605.19008
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- DOI: https://doi.org/10.48550/arXiv.2605.19008
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If you use these runners or the `lbw-guard` package in evaluation, please cite the paper above.
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Use GPU hardware for meaningful runtime. CPU can load the app, but training is intentionally capped to tiny smoke settings so users do not accidentally start long CPU jobs.
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