A least-squares weak Galerkin method yields unique discrete solutions and optimal-order error estimates for Fokker-Planck-type equations with non-smooth diffusion tensors.

Only the abstract is available, so no equations, proofs, or citation chains can be inspected for reduction-by-construction. The abstract states a least-squares weak Galerkin scheme built from locally defined weak second-order partial derivatives and weak divergence, then claims uniqueness of the discrete solution and optimal-order error estimates in a discrete energy norm, validated by numerical experiments. This is the ordinary structure of a numerical-analysis paper: discrete spaces and a least-squares residual yield a SPD system whose well-posedness and approximation properties are proved from the approximation theory of the discrete spaces, not by fitting free parameters to the same data later called predictions, nor by renaming a known empirical pattern. No self-definitional identity, no uniqueness theorem imported solely from overlapping authors, and no ansatz smuggled via self-citation appear in the supplied text. Circularity burden is therefore zero on the available evidence; any later self-citation risk would require the full paper and would still be minor unless load-bearing for the central rates.