Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.14545.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:34:15.220521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:29:31.097947Z
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 13a11612-a503-4b59-8684-73a8609f733c · inbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network cites this paper.
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:34:15.220521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a9cf8ad-f060-435b-a1be-1f93ab647694 · inbound
Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels cites this paper.
Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:29:31.100958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.