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update tables
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paper/auc_table.tex

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\begin{table*}[h]
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\begin{table*}[t]
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\centering
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\caption{Test AUC-ROC per probe, model, and benchmark across transformer layers. \textbf{Bold} marks the best layer per row. \emph{Shuffled} uses label-permuted data as a sanity baseline.}
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\caption{AUC per probe, model, and benchmark across transformer layers. \textbf{Bold} marks the best layer per row. \emph{Shuffled} uses label-permuted data as a sanity baseline.}
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\label{tab:auc_roc}
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\begin{tabular}{lcccccc}
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\toprule
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& \multicolumn{5}{c}{AUC-ROC $\uparrow$} & Shuffled \\
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& \multicolumn{5}{c}{AUC $\uparrow$} & Shuffled \\
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\cmidrule(lr){2-6}
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Probe & 1 & 11 & 21 & 31 & 40 & (best layer) \\
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\midrule

paper/calibration_table.tex

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\begin{table*}[h]
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\begin{table*}[t]
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\centering
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\caption{Calibration metrics (ECE and Brier score) per probe across layers. Lower is better for both metrics.}
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\label{tab:calibration}

paper/hparam_table.tex

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\begin{table}[h]
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\begin{table}[t]
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\centering
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\caption{Chosen hyperparameters for each model and benchmark, selected by 20-trial random search maximising mean validation AUC. Verified sweeps were run independently per probe and per layer; table shows the middle probed layer as representative. Pro sweeps were run independently per probe.}
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\label{tab:probe-hparams}

paper/transfer_table.tex

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\begin{table*}[h]
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\begin{table*}[t]
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\centering
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\caption{Cross-dataset transfer AUC-ROC for Laguna-XS2. Gray rows show in-distribution reference performance. Transfer rows show AUC when probe weights trained on one dataset are evaluated on the other; the subscript shows the delta relative to the in-distribution baseline on the \emph{same} evaluation set.}
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\caption{Cross-dataset transfer AUC for Laguna-XS2. Gray rows show in-distribution reference performance. Transfer rows show AUC when probe weights trained on one dataset are evaluated on the other; the subscript shows the delta relative to the in-distribution baseline on the \emph{same} evaluation set.}
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\label{tab:transfer}
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\begin{tabular}{lccccc}
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\toprule

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