In 2010, Shiffman and Zelditch proved a central limit theorem (CLT) for smooth statistics of Gaussian random zeros in codimension one over compact Kähler manifolds. They raised the question of whether this result admits a two-fold generalization – to arbitrary codimensions and to both smooth and numerical statistics – which has remained open since then. In this paper we resolve this long-standing problem. We establish a universal CLT that holds for both types of statistics arising from several independent Gaussian sections, thereby fully extending the Shiffman–Zelditch theorem. The proof builds on a new geometric framework that lifts the probabilistic tools of Wiener chaos and Feynman diagrams from scalar processes to random currents on complex manifolds, providing a robust mechanism for analyzing fluctuations in random complex geometry beyond the classical codimension-one setting.

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