{"total":16,"rows":[{"id":"2602.15503","title":"Approximation Theory for Lipschitz Continuous Transformers","created":"2026-02-17","cited_by_count":5,"area":null},{"id":"2602.18849","title":"Exact Attention Sensitivity and the Geometry of Transformer Stability","created":"2026-02-21","cited_by_count":3,"area":null},{"id":"2604.07925","title":"Sinkhorn doubly stochastic attention rank decay analysis","created":"2026-04-09","cited_by_count":2,"area":null},{"id":"2603.11161","title":"Algorithmic Task Capture, Computational Complexity, and Inductive Bias of Infinite Transformers","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2604.13130","title":"Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2606.13767","title":"Beyond LoRA: Is Sparsity-Induced Adaptation Better?","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2605.20069","title":"Smooth Partial Lotteries for Stable Randomized Selection","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.01126","title":"STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.27372","title":"DnA: Denoising Attention for Visual Tasks","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2607.16329","title":"Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2607.18467","title":"Weak-to-Strong Learning in Decision Making","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2607.28959","title":"Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.11760","title":"Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.22253","title":"Toward a First-Principles Update Geometry for the Language-Model Head","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2610.02705","title":"MuonIO: Principled Norm-Aware Descent for Embedding Tables and Language Model Heads","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.04424","title":"On the Trade-off Between Information Loss and Generalization in Sparse Attention","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}