  We consider large random matrices with a general slowly decaying correlation
among its entries. We prove universality of the local eigenvalue statistics and
optimal local laws for the resolvent away from the spectral edges, generalizing
the recent result of [arXiv:1604.08188] to allow slow correlation decay and
arbitrary expectation. The main novel tool is a systematic diagrammatic control
of a multivariate cumulant expansion.
