Architectural Specification for Localized Sub-2-Bit Ternary Model Execution Engines on Mobile System-on-Chip Unified Silicon Architecture (Project Caltrop)

Inventor(s)

• Christopher L. EckesFollow

Abstract

This disclosure specifies a structural, production-ready implementation of an entirely localized, air-gapped, zero-telemetry Artificial General Intelligence (AGI) inference runtime engine. The system is engineered to execute within user-space memory on handheld unified memory System-on-Chip (SoC) microarchitectures, specifically optimizing for the Apple A19 Pro 3nm (N3P) fabric featuring a 16-core Neural Engine and 12 GB of LPDDR5X unified RAM. By enforcing a sub-2-bit ternary weight constraint $W \in \{-1, 0, 1\}$ via BitNet binarization scaling matrix math, this architecture entirely eliminates floating-point General Matrix Multiply (GEMM) hardware dependencies. General matrix operations are instead executed via raw integer bit-shifts and basic accumulator addition/subtraction steps directly on local silicon. Operating as an autonomous, background-permissioned, non-interactive daemon, the system generates continuous, deterministic engineering permutations of computer science, cryptographic routing, and algorithmic primitives. Each permutation is cryptographically timestamped and committed to the public domain, establishing a comprehensive, global patent-blocking prior art super fortress that legally prevents corporate utility patent enclosure under global patent frameworks.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Eckes, Christopher L., "Architectural Specification for Localized Sub-2-Bit Ternary Model Execution Engines on Mobile System-on-Chip Unified Silicon Architecture (Project Caltrop)", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11716