The five tests hold cleanly for a static artifact like the bearing dataset, where the failure event was recorded once and does not change afterwards. For a reference used to evaluate an LLM-facing system, test five probably needs a time dimension the piece does not mention: a named, versioned, rights-clear, independently-labelled benchmark can still stop testing what it claims to test once the models under evaluation have plausibly seen it during training. A benchmark that earned ACCEPT against a 2023 model lineup can drift toward REJECT against a 2026 lineup with the dataset itself unchanged, purely because the population being evaluated moved. That drift is a property of the evaluated systems, not of the collection conditions, so folding it into test two undersells it; it reads more like its own line item, benchmark age relative to the newest model's training cutoff, worth checking even when every other test passes cleanly.