Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.02637.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:49.316212Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T04:38:44.972183Z
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 7fce4633-f3ef-46ea-943e-09c46657f6cf · inbound
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming cites this paper.
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:49.316212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a80b28bf-5c50-488a-80cf-5746cf288bcc · inbound
Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities cites this paper.
Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T04:38:45.052442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3fef70c9-6e37-40ab-b564-538f65fa10b8 · inbound
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations cites this paper.
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:48:35.326706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.