Fisher Information Geometry at Statistical Critical Points — Paper Collection

Research papers investigating the geometry of Fisher information manifolds on lattice models near criticality. Includes 9 research papers and 1 prediction letter presenting a new information-geometric exponent d_R = (d*nu + 2*eta)/(d*nu + eta) at statistical critical points. Collection covers theoretical foundations, explicit calculations on Ising and Potts models, curvature scaling analysis, alpha-power deformed metrics, and experimental validation via exact transfer matrix and MCMC methods.