{"total":29,"rows":[{"id":"2312.10794","title":"A mathematical perspective on Transformers","created":"2023-12-17","cited_by_count":164,"area":null},{"id":"2203.09176","title":"ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation","created":"2022-03-17","cited_by_count":27,"area":null},{"id":"2206.06131","title":"Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers","created":"2022-06-10","cited_by_count":18,"area":null},{"id":"2405.18273","title":"Synchronization on circles and spheres with nonlinear interactions","created":"2024-05-28","cited_by_count":17,"area":null},{"id":"2412.02682","title":"The Asymptotic Behavior of Attention in Transformers","created":"2024-12-03","cited_by_count":16,"area":null},{"id":"2110.08323","title":"On Learning the Transformer Kernel","created":"2021-10-15","cited_by_count":15,"area":null},{"id":"2212.06011","title":"A Neural ODE Interpretation of Transformer Layers","created":"2022-12-12","cited_by_count":14,"area":null},{"id":"2503.01329","title":"Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning","created":"2025-03-03","cited_by_count":13,"area":null},{"id":"2408.04619","title":"Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation","created":"2024-08-08","cited_by_count":10,"area":null},{"id":"2511.11553","title":"Multistability of Self-Attention Dynamics in Transformers","created":"2025-11-14","cited_by_count":8,"area":null},{"id":"2601.21366","title":"Perceptrons and localization of attention's mean-field landscape","created":"2026-01-29","cited_by_count":8,"area":null},{"id":"2302.08374","title":"Efficiency 360: Efficient Vision Transformers","created":"2023-02-16","cited_by_count":6,"area":null},{"id":"2506.00088","title":"HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs","created":"2025-05-30","cited_by_count":6,"area":null},{"id":"2410.09795","title":"WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction","created":"2024-10-13","cited_by_count":4,"area":null},{"id":"2411.03042","title":"Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning","created":"2024-11-05","cited_by_count":4,"area":null},{"id":"2504.03933","title":"Language Models Are Implicitly Continuous","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2510.03989","title":"A Mathematical Explanation of Transformers","created":"2025-10-05","cited_by_count":2,"area":null},{"id":"2510.23652","title":"The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models","created":"2025-10-25","cited_by_count":2,"area":null},{"id":"2512.03058","title":"Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2601.23236","title":"YuriiFormer: A Suite of Nesterov-Accelerated Transformers","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2509.15448","title":"Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2602.20624","title":"Physics-based phenomenological characterization of cross-modal bias in multimodal models","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2606.05140","title":"Phase transitions for the noisy transformer model in arbitrary dimension","created":"2026-06-03","cited_by_count":1,"area":null},{"id":"2111.13781","title":"Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature","created":"2021-11-27","cited_by_count":0,"area":null},{"id":"2509.22463","title":"IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.11789","title":"Minimax Rates for Learning Pairwise Interactions in Attention-Style Models","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2605.25619","title":"Analogies between Transformer Layers and Power Method","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2605.30229","title":"Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2610.13518","title":"Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}