{"total":15,"rows":[{"id":"2512.02010","title":"Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling","created":"2025-12-01","cited_by_count":35,"area":null},{"id":"2512.01868","title":"The Mean-Field Dynamics of Transformers","created":"2025-12-01","cited_by_count":30,"area":null},{"id":"2512.12167","title":"Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings","created":"2025-12-13","cited_by_count":26,"area":null},{"id":"2510.05554","title":"Critical attention scaling in long-context transformers","created":"2025-10-07","cited_by_count":20,"area":null},{"id":"2601.22156","title":"Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts","created":"2026-01-29","cited_by_count":18,"area":null},{"id":"2511.11571","title":"Optimizing Mixture of Block Attention","created":"2025-11-14","cited_by_count":9,"area":null},{"id":"2604.01978","title":"Homogenized Transformers","created":"2026-04-02","cited_by_count":5,"area":null},{"id":"2605.27980","title":"Periodic RoPE for Infinite Context LLMs","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2510.06685","title":"Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix","created":"2025-10-08","cited_by_count":1,"area":null},{"id":"2511.00819","title":"Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2509.25073","title":"An empirical study on the limitation of Transformers in program trace generation","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2609.38109","title":"How Local Mixing Encodes Relative Position in Global NoPE Attention","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38530","title":"Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.10114","title":"Mechanics of Long-Context Hybrid Models Part 1.1: From Hybrid Attention to Hybrid Position","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.17191","title":"FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}