Infinitely divisible approximations for discrete nonlattice variables

Sums of independent random variables concentrated on discrete, not necessarily latice, set of points are approximated by infinitely divisible distributions and signed compound Poison measures. A version of Kolmogorov's first uniform theorem is proved. Second-order asymptotic expansions are constructed for distributions with pseudo-attice supports.