Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.17164.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:08.359535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T02:58:00.404945Z
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 964c10ab-79ee-44da-990c-6399a8b7cb92 · inbound
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations cites this paper.
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:17:08.359535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c7da1dc-e962-4a6a-999d-9ab050475979 · inbound
Rapid training of Hamiltonian graph networks using random features cites this paper.
Rapid training of Hamiltonian graph networks using random features X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T10:17:15.658257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7ac881fa-b45f-40a8-bf97-621f7652d4e2 · inbound
A Benchmarking Framework for AI models in Automotive Aerodynamics cites this paper.
A Benchmarking Framework for AI models in Automotive Aerodynamics X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:31:59.230034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a02d3223-19b5-4033-98bb-58796d0811cc · inbound
Inferring processes within dynamic forest models using hybrid modeling cites this paper.
Inferring processes within dynamic forest models using hybrid modeling X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:50:01.830578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 982b6f5d-209e-4261-be61-71981ffbb1f0 · inbound
Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system cites this paper.
Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:45:56.393327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1f6fbbb-a543-4033-9475-077299976887 · inbound
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics cites this paper.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:30.596211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bfec300-2d16-4307-b55a-8fcfabf2349c · inbound
GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer cites this paper.
GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:27:30.022548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3de307da-81c1-402c-af6d-fa2c8d447f5b · inbound
HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics cites this paper.
HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T02:58:00.408456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f1f2260-9a04-448f-907a-92b46d4e56d6 · inbound
CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws cites this paper.
CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:51:56.544026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.