Failure of the central limit theorem in high dimensions

A random walk on a discrete point process is the model studied in the paper, and a central limit theorem means convergence of its appropriately normalized position to a Gaussian limit. Failure conjecture. There are random walks on discrete point processes in high dimensions that do not satisfy a central limit theorem. The paper gives sufficient conditions for a central limit theorem but no example violating it, so the existence of such examples remains open.