Paper Citation Record · LEDGER

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation

As of 14 August 2026, this Paper Citation Record lists 18 of 18 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.

pith.paper-citation-record.v1
2411.17164 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:33:42.558682Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:08.359535Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T02:58:00.404945Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy7
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29e75c3a-edf5-46ed-b5b0-596ea1249a66 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Relational inductive biases, deep learning, and graph networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.488246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95527168-c4e0-4e6e-b822-63059226edef · outbound

This paper cites Gated Graph Sequence Neural Networks.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Gated Graph Sequence Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.493595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a8ce07-f504-4de5-98d4-2718f89c3059 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Learning Mesh-Based Simulation with Graph Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.498843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdce64b-6d77-44aa-a3b4-3d406e186e4d · outbound

This paper cites Learning to simulate complex physics with graph networks,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Learning to simulate complex physics with graph networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.784381Z

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 f6b34eac-9fba-480c-a60a-18973afb545b · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation GraphCast: Learning skillful medium-range global weather forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.507469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21773f12-4da9-40ec-b38f-f30d1509ce71 · outbound

This paper cites Learning reduced-order models for cardiovascular simulations with graph neural networks,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Learning reduced-order models for cardiovascular simulations with graph neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.770821Z

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 a5526734-2fca-43c6-8cd0-a8092dfd7911 · outbound

This paper cites MultiScale MeshGraphNets.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation MultiScale MeshGraphNets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.516364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46da910-eb71-44ad-b67b-6b3e6394a1c0 · outbound

This paper cites Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.520346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160699c1-c7f7-4c4f-a770-fd5a8be896bc · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation U-net: Convolutional networks for biomedical image segmentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.524628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e63c704e-ad5e-4f5a-a8ff-2049ff1ffb20 · outbound

This paper cites 3d flow field estimation around a vehicle using convolutional neural networks.,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation 3d flow field estimation around a vehicle using convolutional neural networks.,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.749721Z

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 25a8cb84-7f3f-415f-a470-234c3f1a285d · outbound

This paper cites Drivaernet: A parametric car dataset for data-driven aerodynamic design and graph-based drag pre- diction,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Drivaernet: A parametric car dataset for data-driven aerodynamic design and graph-based drag pre- diction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.737266Z

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 31f4f07c-e459-4692-b7d1-49c443092a1f · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.537229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf32a5ce-d6ca-400c-8fb0-2192dce5ee1e · outbound

This paper cites Sur- rogate modeling of car drag coefficient with depth and normal ren- derings,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Sur- rogate modeling of car drag coefficient with depth and normal ren- derings,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.718111Z

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 b30ae12a-992a-4d00-b90f-d5210def2f1b · outbound

This paper cites 3d super-resolution model for vehicle flow field enrichment,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation 3d super-resolution model for vehicle flow field enrichment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.704159Z

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 44609552-8319-4a3c-9ff0-e2e729666f72 · outbound

This paper cites DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.548983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b074ed-1dfd-400f-ac05-8944857eedc7 · outbound

This paper cites A fast and high quality multilevel scheme for partitioning irregular graphs,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation A fast and high quality multilevel scheme for partitioning irregular graphs,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.552453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a672896-15e8-41d6-9eda-a0c5a6861e4f · outbound

This paper cites NVIDIA Modulus: An open-source framework for physics-based deep learning in science and engineering,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation NVIDIA Modulus: An open-source framework for physics-based deep learning in science and engineering,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:33:42.680819Z

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 bbcb436f-f9e9-42b8-96c5-9620a0f7e3b6 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:42.558682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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.