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Paper Citation Record · LEDGER

Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.12097.

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

pith.paper-citation-record.v1
2502.12097 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:45:09.108525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:38:37.326574Z

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 1280d9c9-33dc-4049-8b40-2fca05f1e274 · inbound

A fast food-freezing temperature estimation framework using optimally located sensors cites this paper.

A fast food-freezing temperature estimation framework using optimally located sensors Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T00:45:09.108525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:45:09.108525Z digest=sha256:e7d34ce7c1769bb48136456f386d51661af4127aae633c412f46058de18de2eb

Observation 997d7639-f1ab-4ae9-8319-e17f22598536 · inbound

Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport cites this paper.

Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:38:37.366627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T10:38:31.848466Z digest=sha256:ba4d97f3bc7c56a966f2f12dfc71fc93d8e19fc6a5e53d7e645a500f708c4941