LOCALHOST1978/Modules/SSK_Physics/ARCHITECTURE.md

SSK_Physics Architecture

Version Control and State Tracking Rule: This repository exclusively uses lore for version control, state management, and documentation tracking. Do NOT use git.

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1. Overview and Purpose

SSK_Physics is the foundational physics calculation engine within the SovereignSurvivalKit architecture. It provides multidimensional state inversion, time-to-contact dynamic tracking, amodal measurements, and reverse provenance graph validation.

The module operates without dependencies on other workspace packages, providing base mathematical and physical primitives to SSK_Abstractions and higher-level modules.

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2. Package Specifications

Defined in Package.swift:

• Target Name: SSK_Physics
• Swift Tools Version: 6.4
• Supported Platforms: macOS 27.0+, iOS 27.0+
• Internal Dependencies: None
• External Dependencies: None

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3. Component Architecture and Files

Sources/SSK_Physics/
├── reverse_provenance_engine.swift   # Reverse-time graph validation & deviation solver
├── universal_amodal_processor.swift  # Multi-dimensional tau-tensor & amodal inversion engine
└── ReverseProvenance.archive         # Pre-compiled Metal GPU compute shader archive

1. Reverse Provenance Engine (reverse_provenance_engine.swift)

Calculates reverse-time structural deviations and verifies soft-landing stability thresholds:

• Metal GPU Compute: Executes GPU compute pipelines via ReverseProvenance.archive to compute squared deviations in parallel across Apple Silicon GPUs.
• Accelerate CPU Fallback: Uses Apple Accelerate vDSP routines if Metal compute devices are not available.
• Core Entity: ProvenanceNode (stores timestamp, AmodalMeasurement, and $\dot{\tau}$ values).

2. Universal Amodal Processor (universal_amodal_processor.swift)

Manages multi-dimensional $\tau$-tensor states and structural amodal inversions:

• AmodalInversionEngine: Maintains the active stateTensor, calculating velocity, gap distance, $\tau$, and $\dot{\tau}$ from incoming measurements.
• Harmonic Convergence: Computes the composite Harmonic Convergence Metric $\Psi$ across dimensions to evaluate system synchronization.

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4. Dependencies

System Framework Dependencies

• Accelerate (vDSP): High-performance vector math and digital signal processing.
• Metal: Hardware-accelerated GPGPU compute kernel execution.
• Foundation: Core Swift data types and Codable serialization.

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5. Architectural Position

                        SSK_Abstractions
                               ▲
                               │
                          SSK_Physics
                 (Core Mathematical Primitives)