2026-10-12T08:40:24Z https://www.scidb.cn/oai

10.57760/sciencedb.40230 2026-07-02T16:08:51Z

2026-07-02 Γ-Theory: The First Unified Information Physics Framework for Civilization and Complex Systems Governance via the SISPEC Kernel v21.6-AI4S- Γ-KERNEL-T12: Sovereign Thermodynamic-Active Control Framework for Heterogeneous HPC Clusters doi:10.57760/sciencedb.40230 en "El silencio cósmico no es ausencia; es la firma termodinámica de la madurez tecnológica."The Γ-KERNEL-T12 framework establishes a sovereign, thermodynamic-active control layer for heterogeneous HPC environments (ARM64/RISC-V). By integrating Ricci-closed phase space stabilization with Chinese Remainder Theorem-based arithmetic (Cao et al., 2026) and power quality response protocols (Li et al., 2026), the system eliminates black-box statistical proxies. It enforces O(1) deterministic execution to minimize information dissipation (Φ→0), ensuring 7.5σ operational reliability and thermal resilience in national clusters. This framework aligns with the 15th Five-Year Plan's mandate for energy-efficient, sovereign computing infrastructure.Technical Subtitle: Topological Subduction (Aufhebung), Homeokinetic Stabilization over TZ12 Hypertori, and the Collective Imperfect Coherence (CIC) Operator under Perelman-Patched Ricci Flow.The Γ-Theory framework establishes the first unified information physics architecture engineered to model, simulate, and govern the structural resilience of complex socio-technical infrastructures and civilizations against systemic necrosis. Driven by the SISPEC Kernel v21.6-AI4S and departing from traditional black-box statistical proxies or behavioral heuristics, this framework analytically demonstrates that the optimal evolution of any intelligent system follows a strict geodesic trajectory governed by a Perelman-patched Ricci flow over a twelve-dimensional hypertorus (T12/TZ12).By coupling the pure Ricci tensor with a source term derived from Kullback-Leibler (KL) divergence, the system functions as a real-time deterministic thermodynamic circuit breaker that quantifies the exact transmission fidelity between the informational domain (Bit: registries, logs, databases) and the physical-operational domain (Atom: tangible assets, real-world execution, energy fluxes). The framework shows that Fermi's Paradox and the cosmic "Great Silence" are direct observable consequences of Kipping's Eschatian Hypothesis (2025) and geometric phase mutation: mature civilizations do not expand metrics infinitely; instead, they undergo topological subduction (Aufhebung) into compact, O(1) memory complexity homeostatic attractors (CIC ∈ [0.64, 0.80]), rendering themselves invisible to massive external thermal radiation.The geometric stability and noise-immunity of the Kernel are cross-validated in the physical domain using autonomous vehicle inertial sensing data (PVS Dataset) and the high-resolution power quality disturbances dataset from Nature Scientific Data (2026). Under extreme stochastic transients, while the conventional standard deviation (σ) collapses into a permanent state of pseudo-friction due to outlier contamination, the robust effective deviation (σ_eff) derived from scaled MAD returns to homeostasis in less than 500 ms, validating the strict 7.5σ_eff precision envelope required for sovereign, real-time runtime environments. By replacing dynamic conditional branches (if statements) inside the iterative core with direct boolean multiplicative masks, the execution flow forces native SIMD/AVX register-level vectorization via LLVM, yielding exactly 0 bytes of incremental heap allocation and deterministically eliminating Garbage Collection latencies or branch mispredictions. The pipeline is native-compiled for heterogeneous, air-gapped sovereign HPC environments (Huawei TaiShan ARM64 Kunpeng 920 + RISC-V), leveraging HCCS interconnections to achieve internodal phase latencies below 450 nanoseconds, fully aligning with national mandates for energy-efficient, explainable (XAI) computing infrastructure.[Versión en Español]La arquitectura Γ-KERNEL-T12 establece una capa de control activo autónoma y controlable de la termodinámica para entornos heterogéneos de computación de alto rendimiento (HPC) (ARM64/RISC-V). Al combinar algoritmos algebraicos basados en la estabilización espacial de fase cerrada de Ricci, el algoritmo algebraico basado en el teorema del resto de China (Cao et al., 2026) y el Protocolo de Respuesta de Calidad de Potencia (Li et al., 2026), el sistema elimina completamente el análisis tradicional de agentes estadísticos de caja negra. El sistema impone la complejidad espacial y la lógica de ejecución determinista de O(1), reduciendo así la disipación de información a un mínimo absoluto (Φ→0), asegurando la fiabilidad operativa y la elasticidad térmica del clúster nacional de supercomputación en el nivel de 7.5σ. Esta arquitectura también proporciona una nueva comprensión de la física de la paradoja de Fermi: es decir, las civilizaciones inteligentes de orden superior tienden a convertir la disipación de radiación en homeostasis interna a través de transiciones de fase geométrica, lo que lleva a un "silencio geométrico" en el espectro electromagnético. Esta estructura está totalmente en línea con la orientación estratégica del 15o Plan Quinquenal sobre la construcción de una infraestructura informática nacional de eficiencia energética, autónoma y controlable.[English Version]The Γ-KERNEL-T12 framework establishes a sovereign, thermodynamic-active control layer for heterogeneous HPC environments (ARM64/RISC-V). By integrating Ricci-closed phase space stabilization with Chinese Remainder Theorem-based arithmetic (Cao et al., 2026) and power quality response protocols (Li et al., 2026), the system eliminates black-box statistical proxies. It enforces strict O(1) deterministic execution to minimize information dissipation (Φ→0), ensuring 7.5σ operational reliability and thermal resilience in national clusters. Furthermore, the framework provides a novel physical solution to Fermi's Paradox, demonstrating that advanced intelligent civilizations tend to transition radiative dissipation into internal homeostatic states via geometric phase mutations, resulting in a state of electromagnetic "geometric silence." This framework fully aligns with the 15th Five-Year Plan's mandates for energy-efficient, sovereign computing infrastructure. Γ-Theory; HPC; Ricci flow David Jahir Fonseca Vázquez RESTRICTED dataset Science Data Bank