Sparse model diffing on task-agnostic text can flag which academic, safety, or behavioral categories a fine-tuned or unlearned LLM has unintentionally changed.
Marked boundary rigidity for surfaces of Anosov type
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Let $\Sigma$ be a smooth compact connected oriented surface with boundary. A metric on $\Sigma$ is said to be of Anosov type if it has strictly convex boundary, no conjugate points, and a hyperbolic trapped set. We prove that two metrics of Anosov type with the same marked boundary distance are isometric (via a boundary-preserving isometry isotopic to the identity). As a corollary, we retrieve the boundary distance rigidity result for simple disks of Pestov and Uhlmann [arXiv:math/0305280]. The proof rests on a new transfer principle showing that, in any dimension, the marked length spectrum rigidity conjecture implies the marked boundary distance rigidity conjecture under the existence of a suitable isometric embedding into a closed Anosov manifold. Such an isometric embedding result for open surfaces of Anosov type was proved by the first author with Chen and Gogolev in [arXiv:2009.13665] while the marked length spectrum rigidity for closed Anosov surfaces was established by the second author with Guillarmou and Paternain in [arXiv:2303.12007].
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Sparse model diffing on task-agnostic text can flag which academic, safety, or behavioral categories a fine-tuned or unlearned LLM has unintentionally changed.