Zero Point Logic (ZPL): Intrinsic Equilibrium in 2D Binary Matrix Computation — Research Dataset 2026

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-Costinel
Independent researcher, Laer, Germany
March 29, 2026