Organizations: Department of Computer Science and Software Engineering Auburn University, Auburn, AL, USA · Department of Information Management National Central University, Taoyuan, Taiwan
KV-cache compression at small budgets is a crowded design space spanning cache representation, head-wise routing, compression cadence, decoding behavior, and within-budget scoring. We study seven mechanisms across these five families under matched mean cache on long-form mathematical reasoning (MATH-500~\cite{hendrycks2021math}) with two distilled-reasoning models (Qwen-7B and Llama-8B variants of DeepSeek-R1-Distill~\cite{deepseek2025r1}) at budgets b∈{64,128}. All seven were rejected. We then propose α, a one-function modification to the TriAttention~\cite{mao2026triattention} retention scorer that replaces argmax-top-k with greedy facility-location-inspired selection under a V-space redundancy penalty controlled by a single weight λ. A pre-registered protocol tunes λ on a frozen development split and confirms on a disjoint held-out split; with λ=0.5, α clears Bonferroni on two of the four (model, budget) cells (Qwen b=128 and Llama b=64), no cell is significantly negative, and the pre-registered Branch~A triggers. The finding is asymmetric: a minimal scoring modification beat heavier structural redesigns in this regime, and the combined matched-memory, sympy-graded, held-out confirmation protocol is the evidence standard that made the asymmetry visible.