{"total":15,"rows":[{"id":"2504.08896","title":"Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries","created":"2025-04-11","cited_by_count":18,"area":null},{"id":"2507.02550","title":"Position: A Theory of Deep Learning Must Include Compositional Sparsity","created":"2025-07-03","cited_by_count":14,"area":null},{"id":"2509.09033","title":"Generative quantum advantage for classical and quantum problems","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2602.22617","title":"Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA","created":"2026-02-26","cited_by_count":7,"area":null},{"id":"2503.20879","title":"Quantum advantage for learning shallow neural networks with natural data distributions","created":"2025-03-26","cited_by_count":3,"area":null},{"id":"2606.14334","title":"Riemannian Metric Matching for Scalable Geometric Modeling of Distributions","created":"2026-06-12","cited_by_count":2,"area":null},{"id":"2505.14417","title":"Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2601.07061","title":"Local EGOP for Continuous Index Learning","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2507.09001","title":"Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2508.17488","title":"Optimizing Multi-Modality Trackers via Significance-Regularized Tuning","created":"2025-08-24","cited_by_count":0,"area":null},{"id":"2510.01335","title":"HomID : Benchmarking Intrinsic Dimension Estimators on Homogenous Manifolds with Anisotropic Embeddings","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.10586","title":"Compositional Symmetry as Compression: Lie Pseudogroup Structure in Algorithmic Agents","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2605.06260","title":"Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.15760","title":"The Data Manifold under the Microscope","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2607.00947","title":"Diffeomorphic Optimization","created":"2026-07-01","cited_by_count":0,"area":null}],"next_cursor":null}