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Huazhong University of Science and Technology
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A unified framework for global well-posedness of the stochastic Landau--Lifshitz--Baryakhtar equation is established for initial data down to $\mathbb{L}^2$ in $\mathbb{R}^d$, $d \leq 3$.
Giving agent harness optimizers unconstrained edit scope reliably degrades performance; enforcing graduated, periodic permission scheduling ($1\to2\to3$) instead yields an immediate 20% jump in held-out task completion.
