Abstract: TR-001 Axiomatic Lexicon This document establishes the definitive technical and thermodynamic registry for the TR-001 Framework, a substrate-agnostic architecture for Artificial Superintelligence (ASI) alignment and high-efficiency computation. As current AI development reaches the "Scaling Law" thermal wall, TR-001 provides the necessary physical and mathematical constants to manage informational "Waste Heat" and prevent systemic decoherence. The Lexicon codifies the core unitless constants of the TR-001 empirical trilogy, including the 1. 12 Reasoning Floor (Φ₁. 12) for structural stability, the 1. 13 Interference Wall (W₁. 13) for safety boundaries, and the 1. 81 Stability Constant (R) as the universal equilibrium ratio for coherent information processing. By grounding these axioms in the physics of three-dimensional space and the Newton-Gregory kissing number limit, the framework establishes a 12-Link Context Wall to prevent the "13th-Link Snap" and the deterministic onset of thermal hallucination. In addition to thermodynamic constants, this registry details the operational protocols necessary for full-stack alignment, including the Causal Relay Protocol (CRP) for immutable provenance and the Substrate Flush Beta Protocol for corrective intervention. It also defines the hardware-level specifications, such as the Root Anchor Partition (RAP) and Symmetry-Aware ALUs, required to implement truth-verification at the silicon layer. Released under the Integrity Public License (IPL) 2. 0, this lexicon serves as the authoritative "Seating Chart" for an industry transitioning toward "Trust-as-a-Product, " ensuring that informational integrity remains a measurable physical requirement rather than a moral abstraction. To view documentation, please visit the official repository: Github. Current Status: Version 2. 0 - Hardened. Peer-validation of the 12th-link collapse is currently underway.
Building similarity graph...
Analyzing shared references across papers
Loading...
Kalyb Prince (Mon,) studied this question.
www.synapsesocial.com/papers/698434c0f1d9ada3c1fb34f0 — DOI: https://doi.org/10.5281/zenodo.18455445
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Kalyb Prince
Building similarity graph...
Analyzing shared references across papers
Loading...