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Paper Citation Record · LEDGER

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.20562.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.20562 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:20:15.600076Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T07:46:46.260751Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88b5bf95-21f7-4ea5-aa0e-88ffe68f08cb · inbound

DMesh++: An Efficient Differentiable Mesh for Complex Shapes cites this paper.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T10:20:15.600076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:20:15.600076Z digest=sha256:3db30a6d12bf67f917e255b4f500c5c68cfcfa7082b9ddd3697a8ed4695107bb

Observation 01bddaac-cd79-45c5-a06e-c70b7c5f465c · inbound

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer cites this paper.

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.262495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:37:01.352710Z digest=sha256:7f708650355cc103dfd52129c0be5efd28e9ed6451ed7cd8e21b9ce083e2b903