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This paper introduces Tokenwise Residual Comparison (TRC), a method that localizes repetition anomalies from residual stream dynamics during generation in LVLMs/LLMs and selectively suppresses them, reducing loop rates by 57% on average, while showing that repetition semantics emerge in shallow layers before propagating deeper.