The core steps of the first method (local dimensionality reduction + separating hyperplane) include: selecting a local neighborhood for each point, estimating the intrinsic dimension, projecting the neighborhood into a low-dimensional space, fitting a hyperplane, and computing the distance from the point to the hyperplane as the boundary score.