REACS-DI Simulation Dataset Supporting Figures 3, 5, 6, 9, and 10

This dataset accompanies the theoretical framework presented in REACS-DI: Recursive Entropic Architecture of Cosmic Structure – Dimensional Invariance. It includes all supporting data and reproducible Python scripts used to generate Figures 3, 5, 6, 9, and 10 of the manuscript. The visualizations capture key simulated behaviors and concepts introduced in REACS-DI, including: Recursive entropic collapse of filamentary matter (Figure 3) Molecular lattice analogues of cosmic structure (Figure 5) Emergent non-random morphology and two-point correlation analysis (Figure 6) Evolution of entropy fields and collapse behavior (Figure 9) Dimensional recursion and concentric scale invariance (Figure 10) Each figure is backed by a standalone .py script and README.md file to ensure reproducibility and transparency. This dataset supports both the arXiv submission and the forthcoming journal publication and is intended to enhance the scientific rigor, reproducibility, and accessibility of the REACS-DI framework.本数据集配套于REACS-DI：宇宙结构递归熵架构——维度不变性（Recursive Entropic Architecture of Cosmic Structure – Dimensional Invariance）所提出的理论框架，包含了用于生成该论文中图3、5、6、9与10的全部支撑数据与可复现Python脚本。 该可视化内容涵盖了REACS-DI中引入的核心模拟行为与相关概念，具体包括： 1. 丝状物质的递归熵坍缩（图3） 2. 宇宙结构的分子晶格类比模型（图5） 3. 涌现性非随机形态与两点相关性分析（图6） 4. 熵场演化与坍缩行为（图9） 5. 维度递归与同心尺度不变性（图10） 每张配图均配有独立的.py脚本与README.md文件，以保障研究的可复现性与透明度。 本数据集同时支持arXiv预印本与即将发表的期刊论文，旨在提升REACS-DI理论框架的科学严谨性、可复现性与可访问性。