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Paper Citation Record · LEDGER

Computing distances and means on manifolds with a metric-constrained Eikonal approach

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08754.

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

pith.paper-citation-record.v1
2404.08754 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:03:39.472135Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:17:43.499210Z

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 eec5c256-9b84-4ef0-84de-c588abc1bd72 · inbound

Proper Latent Decomposition cites this paper.

Proper Latent Decomposition Computing distances and means on manifolds with a metric-constrained Eikonal approach

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:03:39.472135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:03:39.472135Z digest=sha256:8f2a0eb8caf2beebd9e93dbf6fbafcca7744c9f6360353be1df2664023e0f55e

Observation e26d123a-d09b-46d4-80a3-5d25c0b6fe24 · inbound

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces cites this paper.

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Computing distances and means on manifolds with a metric-constrained Eikonal approach

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:17:43.594391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:17:37.942273Z digest=sha256:e977172b8737178b670da9562c5df7a77aaae81d0376d8080f98cbaaa2d5090c