A Toy Model for Generative Velocity and the Geometry of Stability Loss

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Authors: Hidehito KOBAYASHI
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Abstract

This technical report presents a minimal operational model for detecting stability loss in streaming telemetry systems. The model provides two complementary detection mechanisms. 1. Time-domain detection (Case 1):A Skyline-based Taylor Sensor identifies the emergence of a non-absorbable component in the signal history. A positive residual Φ(t)=Sky(t)−Upoly indicates that the telemetry signal has exited the convex-absorbable regime defined by healthy data. 2. Context-domain detection (Case 2):The deformation of the operational geometry is quantified using the generative velocity Ugen(Qt) ≈ ∥Qt − P(Qt)∥F, where Qt is the contextual overlap matrix and P(Qt) its polytope projection. Persistent curvature in this geometry signals long-term drift of the system’s technical spacetime. Both detection rules rely only on streaming histograms, overlap matrices, and Frobenius-norm deviations, making the method suitable for real-time onboard or ground-based telemetry pipelines. The approach requires no specialized mathematical infrastructure and is compatible with standard flight software architectures. Appendix B provides a measure-theoretic formulation of the critical regime, showing how the operational geometry approaches a pre-Hilbert structure and how the constant 2√2 emerges as the sharp curvature bound between polytope and sphere regimes. The polytope–sphere transition observed in telemetry exhibits the same geometric constant (2√2) that appears in classical correlation bounds such as the Tsirelson limit. This report serves as an operational companion to the theoretical framework introduced in *Generative Velocity and the Geometry of Stability Loss*, isolating the core mechanisms required for practical anomaly detection in streaming systems. Related work Generative Velocity and the Geometry of Stability- Loss Toward a Mathematical Describability of Systemic Breakdownhttps://doi.org/10.5281/zenodo.18830928 Generative Velocity as a Measure--Theoretic Invariant: Skyline Structure and the Radon--Nikodym Decompositionhttps://doi.org/10.5281/zenodo.18825940 Generative Foundations of Measure and Distance: Contextual Transformation and the Emergence of Structural Boundarieshttps://doi.org/10.5281/zenodo.18491118 Trans–Integral: Observer–Dependent Measure and the Emergence of Time — Lebesgue Theory as a Dirac–Limit of Assembler Densityhttps://doi.org/10.5281/zenodo.17671551 TI07 — Generative Time and the Reconstruction of the Path Integralhttps://doi.org/10.5281/zenodo.17864219 TI07 Companion, Vol. 1 — Split Generative Yoga under Generated Timehttps://doi.org/10.5281/zenodo.18195541 TI07 Companion, Vol. 2 — Quantitative Constraints on Generated Timehttps://doi.org/10.5281/zenodo.18195700 A Measure-Theoretic Unification of Statistical, Quantum, and Cosmological Doppler Shiftshttps://doi.org/10.5281/zenodo.17731306 TI06 — Generative Time and Emergent Lorentz Geometry: Observer–Dependent Kinematics, Energy, and Path–Integral Structurehttps://doi.org/10.5281/zenodo.17835394

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Fault Detection and Control Systems Software System Performance and Reliability

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 March 2026
Language
EN
Document type
Preprint