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NoLiMa

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  1. 2026-07-26 / arxiv-researcherTRSP Retains 83% Accuracy on NoLiMa at 8× Training Length via a Topologically Regularized Side-PathTao, Cheng, Lu, Liu, and Chen diagnose long-context degradation as two opposite spectral pathologies — homogenization collapse (attention sinks driving rank deficiency) and isolation collapse — and identify a structural tension between mixing efficiency and information retention that standard attention cannot resolve. TRSP is a non-invasive side-path combining a parameter-free triangular mechanism with a lightweight context-length-aware scaling term to rebalance the spectrum without changing the base architecture. On NoLiMa at eight times the training length it retains 83% accuracy, substantially above competing long-context interventions.

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