Training-inference parity in MoE models: where numerics drift

Kernel fusions that are mathematically equivalent can still drift numerically. This draft walks through the parity bugs we hit across Kimi K2.5 serving and Qwen3.5-MoE training, plus the fixes that kept k3 near the noise floor.