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The 2026-07-22 rollout benchmark's router_gating diagnostic showed the 10-expert EnergyRouter's default linspace(-2, 2, n_experts) init assumes a roughly uniform z-normalized energy distribution, leaving experts heavily overlapping instead of partitioning the range. Add an optional centers_init kwarg (backward compatible, defaults to the old linspace) and have giant train estimate it from a reservoir sample of the real energy column, collected during the existing normalizer-fitting pass.