I am attaching `mathematical_research_goal.md`. Read it completely and use it as the research procedure for this task. Resolve the exact problem below. Seek a complete, rigorous solution, not merely an approach or a literature-status answer. Preserve every hypothesis and quantifier. EXECUTION_MODE: AUTO PROJECT_WINDOW_BUDGET: 4 hours Use that window only through genuine long-running execution with observable timing. Otherwise do substantive work in the available execution block and save a resumable checkpoint at its actual boundary. Do not invent elapsed time or background continuation. ```latex \paragraph{Problem (subelliptic adjoint $L\log L$ estimate).} Let $\Omega\subset\mathbb R^n$ be open and let $X_1,\ldots,X_m$ be fixed smooth real vector fields satisfying \[ \operatorname{span}\{Y(x):Y\in\operatorname{Lie}(X_1,\ldots,X_m)\} =\mathbb R^n \qquad\text{for every }x\in\Omega. \] Fix $T>0$ and $0<\lambda\le\Lambda<\infty$. For a symmetric matrix field $A=(a_{ij})$, define \[ \mathcal L_A\varphi :=\frac12\sum_{i,j=1}^m a_{ij}(t,x)(X_iX_j+X_jX_i)\varphi. \] No additional first-order term is included. Let $(\nu_t)_{0 First preserve the exact target in `checkpoint.md` when file writing is available. Keep normalization brief, perform a concrete mathematical probe, and then develop the strongest route. Continue beyond setup while resources remain. Distinguish conditional progress from a solution, and audit a complete candidate before claiming a resolution. Any notes or prior attempts I supply outside the target are context, not extra hypotheses unless I explicitly designate them as such.