Researchers at Apple demonstrate that UMAP's internal k-nearest-neighbor graph contains more accurate manifold data than its final 2D projection. By applying PageRank and k-core decomposition to this graph, they identify representative points and dense clusters without projection distortion. This approach allows practitioners to extract deeper structural insights from high-dimensional datasets.