Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Physics-Informed Neural Networks beat the Finite Element Method?
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.04107.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:57:12.763205Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T19:19:49.706773Z
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 d9d68e75-b76c-4c62-8d21-df59f857c892 · inbound
Acceleration of RANS Solver Convergence via Initialization with Wake Extension Models cites this paper.
Acceleration of RANS Solver Convergence via Initialization with Wake Extension Models Can Physics-Informed Neural Networks beat the Finite Element Method?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:57:12.763205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f9a12c0-0555-4e89-8cb9-50192b563e36 · inbound
Generalized Lie Symmetries in Physics-Informed Neural Operators cites this paper.
Generalized Lie Symmetries in Physics-Informed Neural Operators Can Physics-Informed Neural Networks beat the Finite Element Method?
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T19:19:49.711672Z
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 b45c6fe8-dca0-4a18-98d1-d2ef7ea5e790 · inbound
Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems cites this paper.
Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems Can Physics-Informed Neural Networks beat the Finite Element Method?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:27:41.375281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.