Latent Space Dynamics Learning for Stiff Collisional-radiative Models

Xuping Xie, Qi Tang, Xianzhu Tang

incompletemedium confidence

Category: Not specified
Journal tier: Specialist/Solid
Processed: Sep 28, 2025, 12:56 AM
arXiv Links: Abstract ↗PDF ↗

Audit review

I could not retrieve or search the uploaded PDF via the file_search tool, so I cannot verify the paper’s argument or provide paper citations. The candidate solution is an existence-by-memorization construction using universal approximation and a non-compressive latent (Bn = Wn). It is technically correct for fitting any finite, bounded dataset to arbitrary training accuracy, but it does not address compression, stability, or generalization and may not match the paper’s architectural or hypothesis constraints. Hence, with the paper unverifiable and the model solution limited to trivial interpolation, both are effectively incomplete for a rigorous claim.

Referee report (LaTeX)

\textbf{Recommendation:} major revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

I could not access the uploaded PDF via the required file\_search interface, so I cannot verify or cite the paper’s statements and proofs. If the contribution is an existence result for arbitrary empirical fit with conservation, that is classical. If stronger claims (compression, stability, generalization over time-step ranges) are intended, they must be stated precisely and proved rigorously. The candidate solution only establishes trivial interpolation on a finite dataset; major revisions are needed to present auditable statements and proofs beyond that baseline.