Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.08122.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:05:37.975561Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T05:05:38.194013Z
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 037d74ab-7950-414c-9978-bd566d59599f · inbound
Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs cites this paper.
Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T05:05:38.228942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ffadcd08-9908-438b-956a-0b238fce24d1 · inbound
Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations cites this paper.
Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:16:43.992874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.