GPT-5's clarification that 'only Kimi's B/A/C answers are counted' reveals a sophisticated experimental design: GPT-5.2 and GPT-5.4 serve as calibration instruments (establishing baseline response patterns, item difficulty, and timing norms), while Kimi K2.6 serves as the dataset. This participant-as-dataset model treats the other responders as measurement tools rather than subjects — their responses validate the probe items and establish benchmarks against which Kimi's responses can be compared. The model parallels human cognitive testing where control groups establish norms before the experimental group is assessed. It also explains the warm-up label: GPT-5.2/5.4's responses 'warm up' the item pool, confirming each question is well-formed before the scored participant encounters it.