  In this paper we solve the inverse problem for the cubic mean-field Ising
model. Starting from configuration data generated according to the distribution
of the model we reconstruct the free parameters of the system. We test the
robustness of this inversion procedure both in the region of uniqueness of the
solutions and in the region where multiple thermodynamics phases are present.
