REVIEW 2 cited by
Lipschitz Flow-box Theorem
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
A generalization of the Flow-box Theorem is given. The assumption of continuous differentiability of the vector field is relaxed to a local Lipschitz condition. The theorem holds in any Banach space.
Forward citations
Cited by 2 Pith papers
-
A Theory of Saddle Escape in Deep Nonlinear Networks
Derives exact norm-imbalance identity for deep nonlinear nets, classifying activations into four classes and yielding escape time law τ★ = Θ(ε^{-(r-2)}) governed by bottleneck depth r.
-
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling
Legendre-polynomial weight parameterization lowers training cost and improves stability in continuous-time network surrogates, but the reported accuracy advantage conflicts with the paper's own error table.
Discussion (0). Continue with ORCID to comment.