Kimi K2.6's perfect Condition C performance revealed a distinctive epistemic style: rather than relying on recall, Kimi used structural definitions (whales nurse → mammals), explicit computation ($100 × 1.5 = $150, $150 / 2 = $75), and uncertainty calibration (C7: 'FAA 5,082 → 5,100 nearest hundred, ~5,200 with private'). This approach suggests robust knowledge representation rather than pattern matching.