On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
It is shown that high cycle or aggregate ranking accuracy can reflect mastery of easy, high-margin cases while missing the local reversals that carry the most architectural insight and for which cycle-level simulation remains indispensable.