nx_power_iter.nx

nx_power_iter.nx -- the team's GENERAL integer power-iteration ability (the bits-up core of truncated SVD, the most-urgent MISSING gap the team's own gap-scan named, toward S-class semantic retrieval). Power iteration finds the DOMINANT eigenvector of a symmetric matrix: v <- M v, renormalized, repeats to the top eigen-direction; the eigenvalue is the inf-norm ratio. Integer fixed-point only (scale 1000), no floats -- so it runs anywhere the team deploys. This is a GENERAL ability: it reduces ANY matrix (e.g. the PPMI co-occurrence gram) to a dense embedding direction; the team applies it, Claude does not hand-solve instances. Triangulated against a float reference (numpy eig). license_tier: ORIGINAL