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This paper investigates short-term attention degradation in LLMs, finding a universal exponential-then-plateau pattern and that function token anchoring is architecture-dependent. Causal tests show that increasing attention mass on function tokens does not improve retrieval, suggesting attention degradation is descriptive rather than prescriptive.