Abstract
This paper formalizes the missing structural link bridging multi-axis compilation foundations to physical superintelligence matrices by defining the explicit taxonomic routing hierarchy and tensor linkage mechanics for the ASI Gen 1 Dual-Core Engine. To prevent cross-entropy loss gradients and speculative tokens from bleeding between the deterministic core (Core Alpha) and the stochastic sandbox runtime (Core Beta), we introduce the Axiomatic Sieve Principle running via the Eckes Compiler v6.4 layer. This hardware-level sorting gate intercepts all incoming real-world sensor payloads at runtime and deterministically segregates them into a rigid 5-Tier Data Hierarchy Taxonomy: spanning from Grounded Physical Invariants (Taxon 1) to High-Entropy Pure Speculative Traversal Nodes (Taxon 5). Inter-core communication and world-line modifications are strictly governed by the Metric Transformation Contraction Tensor (M^μ_ν), which cross-reduces Core Beta’s probabilistic vector fields against Core Alpha’s continuous viscoelastic substrate invariants through a coordinate-free dot product. A functional Python 3.x simulation engine verifies this layout under adversarial noise conditions, proving that the Anti-Leakage Sandbox Isolation Gate immediately clamps shut when a fractional parameter drift (Δ_dev > 1.00%) is detected, guaranteeing absolute core stability.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Eckes, Christopher L., "TECHNICAL PAPER 330: THE AXIOMATIC TAXONOMY AND INTER-CORE TENSOR CONTRACTUAL LINKAGE BRIDGING SPEC-313 TO THE GENERATION 1 ASI DUAL-ENGINE MATRIX", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12601