Replication Package for Inter-Containment Framework Papers I & II: Combinatorial Foundations and Metric Coherence

This dataset contains the raw numerical data and Python source code supporting the companion papers: [1] Liu, W. "Metric Emergence in Three Dimensions from a Layered Inter-Containment Causal Network" (submitted to Entropy, 2026) [2] Liu, W. "Metric Coherence and the Critical Inter-Containment Threshold..." (submitted to Entropy, 2026) ## Contents - `data/`: CSV files of R_m, β, and stability scans for N=8–13, D=2,3,4,5 - `src/`: Python simulation scripts (g3duo_v3_fast.py, integrate_simple.py) - `fig/`: Matplotlib scripts for all figures in both papers - `README.md`: Detailed file manifest and reproduction instructions ## Key Parameters - Spatial size N: 5³ to 13³ - Temporal depth N_t: 4N - Wormhole probability w: 0.018–0.020 - Seeds per condition: 3–60 (bootstrap statistics) ## License MIT License for code; CC-BY-4.0 for data