Mobile AGI Physical-Layer Security Framework: Topological Geometric Offload and Thermodynamic Hardware Interlocks
Year: 2026
Type: preprint
Abstract: As consumer smartphones evolve from single-shot inference devices into 24/7 Mobile AGI terminals, sensors, ISP, NPU, memory, package interconnects, and power management are no longer merely performance components; they become the physical basis for human oversight, privacy protection, and safe interruption. This paper proposes a mobile-device physical-layer security framework constrained by power, cybersecurity, and regulation, and positions it as a consumer-device companion to the 6G fronthaul TGO white paper. The architecture contains three core layers. L1, Topological Geometric Offload (TGO), uses high-dimensional geometric priors and an Mproj: ℝN → ℝ3 mapping to reduce Leq variation in phone-package and sensor-interconnect paths. L2, orthogonal out-of-band transient perturbation ζ(t), provides a local tuning path for package thermal dynamics and dielectric continuity. L3, the Zeno-Triggered Joule Latch (ZTJ-L), is treated as an irreversible or semi-permanent hardware root of trust that can provide a forensic end-state Fend under specified unauthorized sensing, thermodynamic abnormality, or latency-race imbalance conditions. ZTJ-L (Zeno-Triggered Joule Latch), ECM (Environmental Entropy Coupling), SII (Spatial Inertial Phase Identification), CVD (Causal Vacuum Detection), and Fend (Forensic End-State) are introduced in this work as audit-framework terminology and are first defined here in the academic record. Unlike the telecom-infrastructure V7.5 paper, which focuses on AAU, 256TRx, bypass TRL/AFR, S-parameters, and DSP relief, the deployment domain of this paper is the consumer smartphone. The focus is the Mobile AGI always-on power stack, sensor-to-agent security chain, physical-causality anti-fraud, and compliance-engineering mapping to the EU AI Act, GDPR, and repairability. This paper further proposes three physical-causality anti-fraud mechanisms. Environmental Entropy Coupling (ECM) provides evidence for deepfake-related events that lack natural environmental entropy. Spatial Inertial Phase Identification (SII) supports detection of fake base stations, phishing channels, and physical-source inconsistencies. Causal Vacuum Detection (CVD) checks whether logical data events are decoupled from thermal, electrical, or I/O events. These mechanisms do not replace cryptography or software security; they fill a physical-evidence gap left by software logs, blacklists, and content classifiers under AGI-generated fraud. The CVD layer is, to the author's knowledge, the first application of Landauer's principle of irreversible computation as a foundation for anti-fraud evidence chains, repositioning fraud detection from logical-layer pattern matching to physical-dissipation matching. The paper presents an auditable conceptual architecture rather than a deployment commitment, product specification, or cross-platform performance claim. Its hypotheses can be verified or rejected using battery drain, skin temperature, NPU duty cycle, memory bandwidth, uplink duty cycle, thermal throttling time, Leq variation, S-parameters, EVM, sensor cut-off time, OS/API tracing, side-channel baselines, ECM/SII/CVD evidence packets, and Fend end-state inspection. Index Terms — Mobile AGI, consumer smartphone, physical-layer safety, topological geometric offload, Leech lattice Λ24, out-of-band perturbation ζ(t), equivalent spatial length Leq, hardware root of trust, ZTJ-L, environmental entropy coupling, spatial inertial phase identification, causal vacuum detection, anti-fraud, EU AI Act, GDPR, repairability, human oversight. Notation Note — Standard engineering abbreviations such as RF, DSP, OOB, EVM, S-parameters, TRL, VNA, PINN, PUF, TLS, TPM, and RATS are used in their conventional meanings. Architecture-specific terms, including ECM, SII, CVD, ZTJ-L, Mproj, Leq, ζ(t), Fend, and τZTJ, are defined at first use and treated as audit-framework terminology rather than implementation parameters. Release Positioning and Non-Weaponization Statement: This document is released as an academic preprint. It does not constitute a commercial offer, licensing proposal, compliance certification, legal opinion, or enabling disclosure. The ZTJ-L hardware interlock described in this paper is positioned strictly as a consumer-device security and forensic-evidence mechanism. It is not designed, tested, or proposed for military, weapons, law-enforcement active-defense, or dual-use applications. The author makes no claim regarding its applicability under EAR, ITAR, EU Dual-Use Regulation (2021/821), or any other export-control regime. Any future implementation must independently complete export-control compliance assessment in the relevant jurisdiction. Device-level non-public implementation parameters and business-sensitive information are intentionally omitted. V3.6 Changelog (from V3.5): (1) Added first-use statement for five audit-framework terms in Abstract and Section I.D. (2) Added Landauer-principle anti-fraud first-use statement in Section VI.D. (3) Added non-weaponization and export-control statement as new Section IX.D. No technical content of V3.5 is modified or retracted.
Author: Hsu, Chin-Yu
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7159686359