Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A neural network approach to learning solutions of a class of elliptic variational inequalities
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.18565.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:12:35.100491Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T02:24:13.314455Z
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 3b0b0930-a2ce-4866-9594-a0c0d6739270 · inbound
A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems cites this paper.
A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems A neural network approach to learning solutions of a class of elliptic variational inequalities
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:12:35.100491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a3697bb-b0fd-474c-9f8f-95a2846f0735 · inbound
Fourier Neural Operators with Least-Squares Readout Refit for Learning Random Obstacle-to-Solution Maps cites this paper.
Fourier Neural Operators with Least-Squares Readout Refit for Learning Random Obstacle-to-Solution Maps A neural network approach to learning solutions of a class of elliptic variational inequalities
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T01:51:30.002067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.