Zero Point Logic (ZPL) is a deterministic binary computation model based on NxN matrix units called Corebits. Regardless of input distribution or matrix size (N≥9), the system converges statistically to p≈0.5 — a neutral equilibrium — without any explicit balancing rules. This package contains:- Full whitepaper (English and Romanian)- AIN sweep datasets: N=9, N=16, N=25 (5,000–10,000 samples per bias level)- Comparative analysis: ZPL vs Conway GoL, Ising Model, Majority Vote CA- Result regeneration script (live public API) Total empirical validation: ~886 million individual binary computations across 88,188 unique parameter configurations.Total research computations: over 2.64 billion. All results are independently reproducible via the public live demo. Interactive live demo: https://cicicalex.github.io/zpl-demo/zpl_master_demo.html Live REST API: https://web-production-5ece2.up.railway.app/demo Repository: https://github.com/cicicalex/zpl-demo Author: Ciciu Alexandru-CostinelIndependent researcher, Laer, GermanyMarch 29, 2026