Paper Citation Record · LEDGER

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.05598.

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

pith.paper-citation-record.v1
2402.05598 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:20:25.079898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:39:01.265928Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 42fd9f60-a3dc-44a8-8da3-a01516baa039 · inbound

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers cites this paper.

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T18:20:25.079898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee044d42-cf15-48d2-8119-252492e137ce · inbound

When can a neural operator replace a coarse solve? Architectural principles for two-level preconditioning cites this paper.

When can a neural operator replace a coarse solve? Architectural principles for two-level preconditioning Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T02:02:58.424188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2453599-542a-4e5d-8c43-64d75e05347a · inbound

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation cites this paper.

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:24:57.942776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bf2adb4-8b6f-4d3b-9a85-1bd338e3403e · inbound

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation cites this paper.

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:39:01.267269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.