[2603.04805] Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation

Computer Science > Computation and Language arXiv:2603.04805 (cs) [Submitted on 6 Feb 2026] Title:Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation Authors:Edward Zhang View a PDF of the paper titled Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation, by Edward Zhang View PDF HTML (experimental) Abstract:This paper explores the underlying principles of positional relationships and encodings within Large Language Models (LLMs) and introduces the concept of the Attention Gravitational Field (AGF). By decoupling positional encodings from semantic embeddings, we optimize the model architecture and achieve superior accuracy compared to prevailing encoding methods. Furthermore, we provide an in-depth analysis of AGF, demonstrating its intrinsic consistency with learning and stability curves, as well as its empirical alignment with Newton's Law of Universal Gravitation. By offering a rigorous theoretical exploration of these phenomena, this work represents a significant step toward interpreting the Attention mechanism and unlocks new possibilities for future research in model optimization and interpretability. Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2603.04805 [cs.CL]   (or arXiv:2603.04805v1 [cs.CL] for this version)   https://doi.org/10.48550/arXiv.2603.04805 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Edwa...