{"total":1,"items":[{"citing_arxiv_id":"2506.00226","ref_index":3,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Riemannian Principal Component Analysis","primary_cat":"stat.ML","submitted_at":"2025-05-30T21:04:01+00:00","verdict":"REJECT","verdict_confidence":"MODERATE","novelty_score":4.0,"formal_verification":"none","one_line_summary":"R-PCA replaces Euclidean distances in PCA with UMAP-induced local weightings and then performs PCA on a rescaled covariance; it claims better cluster preservation on a simulated set and Olivetti Faces.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}