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This paper studies how LLMs interpret English degree modifiers (e.g., 'slightly', 'drastically') in a controlled resource-allocation task. It finds that the model compresses 10 intensity words into 5 distinct numeric outputs, and the interpretation is heavily state-dependent, with lexical differentiation collapsing near system capacity.