Prototype: Attractor Reconstruction of a Dark Matter Field

This working paper presents a prototype framework for reconstructing the dark-matter field as a dynamical attractor. The method alternates between gravitational relaxation under the Vlasov–Poisson equations and observational pull-backs from gravitational lensing and stellar streams. The framework is inspired by Geoffrey Hinton’s remarks on how AI might connect seemingly unrelated concepts, and was sketched using large language models as brainstorming partners. The mathematical formulation, pseudocode, and discussion of priors are provided in the accompanying PDF. This is not a claim of discovery but a testable, hypothesis-generating approach intended to invite further analysis, simulation, and critique by specialists in cosmology, astrophysics, and inverse problems.