Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.03021.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:34:41.184782Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:17:21.188592Z
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 221d4438-31ce-49ea-9891-2594b4626d97 · inbound
Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization cites this paper.
Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:34:41.184782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5386015-dc34-4a69-9217-afe85bae3246 · inbound
Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations cites this paper.
Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:25:41.635515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1988b38e-ba39-4d87-ac54-80a926e89da0 · inbound
Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations cites this paper.
Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:17:21.190118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.