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Enforcing LLM Safety through DMD-based Classification of Prompt-Response Embedding Dynamics

Researchers propose a new black-box LLM safety classification method using dynamical systems theory (Koopman operators) applied to prompt-response embedding dynamics, aiming to detect unsafe outputs without model access.

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arXiv Artificial Intelligence

Aug 21, 2026

SPIN Processed News Frame: The Hype

Spectral Distillation: From Nonlinear Dynamics to Linear State-Space Models

A new machine learning method called Spectral Distillation provides a provable, convex pipeline to extract compact linear state-space models from nonlinear dynamical systems, avoiding non-convex system identification.

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arXiv Machine Learning

Aug 7, 2026

SPIN Processed News Frame: The Hype

Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression

Researchers propose a new method for learning dynamical systems from noisy data.

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arXiv Machine Learning

Published Jul 2, 2026 · Analyzed Jul 5, 2026