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Paper Citation Record · LEDGER

Green Multigrid Network

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.03593.

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

pith.paper-citation-record.v1
2407.03593 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 2026-08-10T22:11:14.871650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:54:03.186122Z

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 bd424eb6-8b88-403c-bdd2-782b06c9030d · inbound

Orthogonal greedy algorithm for linear operator learning with shallow neural network cites this paper.

Orthogonal greedy algorithm for linear operator learning with shallow neural network Green Multigrid Network

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T22:11:14.871650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:11:14.871650Z digest=sha256:9e71ba774f518cc5a5bebd178c29b8efde316b7f28f4bf35950368619cd361f6

Observation 2cda0a30-c862-4491-94d9-bfe995270ac4 · inbound

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients cites this paper.

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients Green Multigrid Network

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:54:03.187455Z

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=2026-06-29T23:53:30.631124Z digest=sha256:cff24ee8ebf45490f6034d566638dea908400a6c4e2ef9b2ef680a95bf4ff300