Induced-metric optimizer where the inverse metric γ⁻¹ = exp(s)·I is a learnable scalar, updated online each step by ascending a local surrogate v = ξ·exp(s)·‖g‖² with regularization and clipping in log-domain. Plain and log-loss embedding variants. O(1) learnable state (one scalar s).
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