Renaissance: The Sovereign Physical Intelligence via Resonance Plexus Framework

Technical White Paper v1.5 | Document ID: QN-RP-2026-V1.5 Affiliation: QuantNature Global (https://www.quantnature.com)Release Date: September 11, 2026 Executive Summary This white paper presents the Resonance Plexus (RP v1.5), a novel non-symbolic physical intelligence framework designed to overcome the structural brittleness of classical symbolic logic and the severe computational latency of generative foundation models (VLA/LLM) in autonomous robotic control. Grounded in the paradigm of Sovereign Physical Intelligence (SPI), the architecture transmutes multi-modal sensory stimuli into a dual-manifold physical computing fabric—an encapsulated 10,240-node (128 × 80) 2D Retinotopic Cortex coupled with a circumferential 360-node Somatosensory Lateral Ring. The platform navigates open dynamic environments through continuous field energy minimization (−∇E) rather than probabilistic tokenized inference or discrete "If-Else" decision trees. Core Architectural Pillars (RP v1.5) Dual-Manifold Non-Symbolic Exteroception: Integrates a 10,240-node focal visual cortex utilizing Multiplicative Coupling ((1 − I)1.5 × Pdepth) to preserve razor-sharp physical contours of matte-black and infrared-absorbing obstacles without spatial blurring, united with a 360-node polar somatosensory ring (planar LiDAR) functioning as an extended spatial skin (analogous to the teleost lateral line system) that outputs an immediate 2D lateral ejection vector (Flateral). Autonomic Interoception & Basal Pacemaker: A native physiological engine synthesizing real-time battery voltage (metabolic potential), operating system loop timing jitter (Heart Rate Variability, HRV), and IMU micro-vibrations (somatic tremor) into a continuous cardiac carrier wave (55–115 BPM). Acute threats trigger sympathetic adrenaline surges within 500 ms, followed by biologically grounded exponential half-life decay (τ ≈ 5–8 s). Hierarchical Triad Recursive Governance: A multi-tiered cross-coupling loop across Brain A (10K instinctual wave mesh), Brain B (128-node horizontal affective resonator via non-linear spatial pooling PR→B), and Brain C (64-node executive governor) enforcing dynamic compliance and inhibitory dissonance under high-stress shock. Temporal Trauma Integration & Instantaneous Purge: Formulation of the continuous Stress Reservoir (D) for temporal entropy summation, paired with the Trauma Purge operator (P̂) that evacuates initialization boot-up noise upon cognitive awakening (t ≈ 4.0 s). Antifragile Langevin Annealing: Stress-induced parametric liquefaction (H ∝ S1.5) modeled via stochastic Langevin dynamics, dynamically exploring parameter spaces under chaos while crystallizing back toward invariant, hardware-grounded genetic attractors (Θ0). Empirical Edge Hardware Validation Full-stack physical telemetry executed on embedded edge hardware demonstrates: Sub-Millisecond Kernel Latency: Proprietary kernel executes complete 10,240-node 2D complex wave updates in 0.53 ms. Ultra-Deterministic Sensory-Motor Loop: Full multi-modal closed loop (10K visual cortex + 360° LiDAR skin + Pacemaker + Inertial Controller) executes at 7.94 ms (>125 Hz). Zero Model Weights: Operates natively with 0 MB neural network weights (zero pre-trained tensors, zero hallucinations). Biological-Grade Kinetic Flow: Zero limit-cycle chattering (0 Hz) during acute close-proximity shocks, executing a fluid monotonic Inertial S-Curve momentum profile. Notice: This white paper is published under CC BY 4.0. The license applies solely to the published text, mathematical models, and telemetry data, and does not grant rights to any underlying proprietary RTL/HLS source code, compiled bitstreams, or silicon implementations.