mlsanityData to 14 Oct 2026

Is magnitude 'generically continuous' for finite metric spaces?

arXiv 2501.08745 ↗First posted 15 Jan 2025math.MG cs.CG math.GNcited by 1

Not on the map. Why?

Abstract (arXiv)

Magnitude is a real-valued invariant of metric spaces which, in the finite setting, can be understood as recording the 'effective number of points' in a space as the scale of the metric varies. Motivated by applications in topological data analysis, this paper investigates the stability of magnitude: its continuity properties with respect to the Gromov-Hausdorff topology. We show that magnitude is nowhere continuous on the Gromov-Hausdorff space of finite metric spaces. Yet, we find evidence to suggest that it may be 'generically continuous', in the sense that generic Gromov-Hausdorff limits are preserved by magnitude. We make the case that, in fact, 'generic stability' is what matters for applicability.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 29 references that are in the map. First posted on arXiv 15 Jan 2025.

Builds on

4 of 29 references.

References · 4

  1. 2023Metric Space Magnitude for Evaluating the Diversity of Latent Representationscited by 17
  2. 2023Metric Space Magnitude and Generalisation in Neural Networkscited by 15
  3. 2024Approximating Metric Magnitude of Point Setscited by 4
  4. 2023Stability for Inference with Persistent Homology Rank Functionscited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.