Induced-metric optimizer where the inverse metric γ⁻¹ = diag(exp(s)) is a learnable per-parameter diagonal, updated online each step. Each parameter gets its own scale factor exp(s_i), with mean-centering to avoid scale degeneracy with ξ. O(N) learnable state. Best peak accuracy on MNIST (97.99%).