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Two shared scalar signals are sufficient to dynamically govern complex spectral memory, outperforming prior adaptive recurrences and accelerating training.
LLMs can revolutionize 6G wireless communication decision-making, but only if we address the data scarcity problem and optimize reasoning pipelines for dynamic channel modeling and edge deployment.
