Title: Nautile-370M: Spectral Memory Meets Attention in a Small Reasoning Model

Source: http://arxiv.org/abs/2604.24809v1

Summary:

This paper introduces a hybrid architecture that alternates linear-time spectral operators with transformer layers, providing a formal proof that such 'spectral memory' can match the expressiveness of full self-attention. It demonstrates a significant breakthrough in creating small, efficient reasoning models that maintain long-context performance under strict parameter budgets.