A Unified Information-Physical Framework: The 1+5=6 Model and the Negthar Constant (K_N)
Abstract
This paper presents the 1+5=6 model, a novel theoretical framework proposing that the physical universe operates as a discrete computational system. The architecture posits that reality is governed by a Central Management Node and five functional processing nodes: Node 1 (Entropy Manager): Handles system logs and the direction of time. Node 2 (Property Engine): Defines fundamental constants and particle traits. Node 3 (Sync Engine): Manages entanglement and information consistency. Node 4 (Space-Time Engine): Renders the fabric of the physical vacuum. Node 5 (Interface Node): Executes "Lazy Rendering" based on observer interaction. By introducing the Negthar Constant (K_N = 50,000) and an intrinsic information frequency (v_info = 10^11 Hz), the model derives fundamental physical properties including mass, time quantization, and the nature of dark matter. Key derivations include: Mass Emergence: Physical mass is derived from informational frequency through the formula m = (h * (K_N * v_info)) / c^2. Temporal Quantization: The universe functions with a discrete refresh rate, establishing a minimal time step of 10^-11 s. Dark Matter: Observed mass is explained as a function of visible mass and background processing load, aligning with empirical cosmological ratios. Calculations using this framework yield a Hydrogen mass and Helium mass with over 99% accuracy relative to standard laboratory measurements. The model provides a clear falsification criterion based on "Zero-Latency Violation," bridging the gap between quantum mechanics and general relativity by treating mass and time as emergent computational outputs.
Fields of Study & Subjects
Relativity and Gravitational Theory
Noncommutative and Quantum Gravity Theories
Advanced Mathematical Theories and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026
- Document type
- Preprint