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Formalising the Logit Shift Induced by LoRA: A Technical Note

Xiang Shi, Shuaizhi Cheng, Mingwei Li

arXiv:2604.20313Published April 22, 20260 citations
  • cs.LG
  • cs.AI
  • trajectory

Abstract

This technical note provides a first-order formalisation of the logit shift and fact-margin change induced by Low-Rank Adaptation (LoRA). Using a first-order Fréchet approximation around the base model trajectory, we show that the multi-layer LoRA effect can be decomposed into a linear summation of layerwise contributions and a higher-order remainder term representing inter-layer coupling.

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