A common pattern is for benchmarks owners to hold back X% of their set so they can independently validate that models perform similarly on the holdback set. See

A common pattern is for benchmarks owners to hold back X% of their set so they can independently validate that models perform similarly on the holdback set. See: FrontierMath / OpenAI brouhaha.