Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.05584.
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 2026-08-06T20:19:21.238037Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:19:27.643561Z
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 ecf6c647-3bda-440d-bbc7-329a1cf372a9 · inbound
PINN-DG: Residual neural network methods trained with Finite Elements cites this paper.
PINN-DG: Residual neural network methods trained with Finite Elements Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:19:27.682023Z
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.