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We test the robustness of our approach on a simple synthetic example. In each panel, we show noisy SFs (left) as binary points and the corresponding slice indicator’s output (right) as a heatmap of probabilities. We show that the indicator assigns low relative probabilities on noisy (40%, middle) samples and ignores a very noisy (80%, right) SF, assigning relatively uniform scores to all samples.
