High-Dimensional Factor-Analytic Representation Modeling and Metrics // The goal of 'HAMMER' is to provide factor analytic representation learning and associated determinacy metrics for very-high-dimensional data. It projects high-dimensional data onto low-dimensional generative latent sources and assesses the uncertainty in the projection. The projection is distribution- free, scale-equivariant, and efficient. For details, see Peeters (2026) doi:10.48550/arXiv.2606.28854.