Researchers at Apple found that UMAP's internal k-nearest-neighbor graph contains more accurate manifold data than its final 2D projection. Applying PageRank and k-core decomposition to this graph identifies representative points and dense clusters more reliably. This approach allows practitioners to extract structural insights without the distortion inherent in dimensionality reduction.