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Paper Citation Record · LEDGER

MultiScale MeshGraphNets

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2210.00612.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.00612 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:44:30.204207Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f367b8d-cecb-4f73-b5fa-62700bd7641d · inbound

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation cites this paper.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation MultiScale MeshGraphNets

Reference 2022

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no resolver link, observed 2026-08-08T21:44:30.204207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:44:30.204207Z digest=sha256:dfeec91d36c184e21502bf35ba12c6cd3e199cb58792a3cfc54d5819a1ee2634

Observation 8d9df356-443a-47b2-b463-29bfcd2250eb · inbound

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems cites this paper.

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems MultiScale MeshGraphNets

Reference 22

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no resolver link, observed 2026-08-07T14:27:42.127072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:42.127072Z digest=sha256:29ddd30d928722162b12cabf089274f6348635efecfaeadd3ffd75378c0d27fd

Observation 54767418-5bdb-42e1-a3f8-10958697ae68 · inbound

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks cites this paper.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks MultiScale MeshGraphNets

Reference 2019

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no resolver link, observed 2026-08-07T13:55:14.086536Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.086536Z digest=sha256:6ef6d7bec12c24eea5fc9399eacb7536aeaed175df72c7c3e9be72bf0ec208ac

Observation 0348c22f-e032-4909-9ca3-fb39720f04fc · inbound

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data cites this paper.

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data MultiScale MeshGraphNets

Reference 12

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no resolver link, observed 2026-08-07T04:51:00.499405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:51:00.499405Z digest=sha256:3d15d6835d99248baa2d10c321edb9fcd644b944a896a17f34d4047e0703204b

Observation 04f7dd51-f51d-4045-a655-52a93bd61da0 · inbound

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models cites this paper.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models MultiScale MeshGraphNets

Reference 16

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no resolver link, observed 2026-08-07T04:15:05.111747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:15:05.111747Z digest=sha256:f5a7672e5ef5247a159935aa90cb30a21ffe30e2411033c660f3111ed68ddabb

Observation dd038e8f-878d-4ae7-88fa-9817c372374a · inbound

Accurate Mediterranean Sea forecasting via graph-based deep learning cites this paper.

Accurate Mediterranean Sea forecasting via graph-based deep learning MultiScale MeshGraphNets

Reference 49

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unresolved
no resolver link, observed 2026-08-06T21:36:38.432730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:38.432730Z digest=sha256:aca43c3f0de8cf3cef0c2c813e5846a5fa31f7d5b38e04777b8e40476b038464

Observation e3635eba-d220-42ce-a62e-8e0c9770bf9d · 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 MultiScale MeshGraphNets

Reference 32

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unresolved
no resolver link, observed 2026-08-06T18:44:50.001723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:50.001723Z digest=sha256:4173a31404ed5a7fe7cc6df7b97a351258339ce2a7b6fccf3ab38310a640bf1a

Observation 89beba6b-0a73-492c-a5e8-d3d5567f1550 · inbound

Inferring processes within dynamic forest models using hybrid modeling cites this paper.

Inferring processes within dynamic forest models using hybrid modeling MultiScale MeshGraphNets

Reference 21

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unresolved
no resolver link, observed 2026-08-06T05:50:01.826532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:01.826532Z digest=sha256:b09210e60b5b6ad9fbe5af1b71dca08c4dac7cfca30898d8134aa68495ebe443

Observation 49bbc48a-9e3c-4720-9333-d6b8ef28ec2a · 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 MultiScale MeshGraphNets

Reference 24

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no resolver link, observed 2026-08-06T05:45:56.387935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:45:56.387935Z digest=sha256:8a76842b60aa1484735dcc967a633f6856b37b0469e4d28c6ee5cf2c0c3e8950

Observation b82a6c1a-b2c4-4ba2-b39d-d8d5232fffb2 · 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 MultiScale MeshGraphNets

Reference 17

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unresolved
no resolver link, observed 2026-08-05T14:29:30.695944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:29:30.695944Z digest=sha256:4e67253bfd3ee9e3f4d8bf2944a1cccac1a14d276719d16ed52db47c0f66546f

Observation 0a1f86e3-3739-40a7-8312-5858fd899a93 · 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 MultiScale MeshGraphNets

Reference 42

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no resolver link, observed 2026-08-05T04:38:44.418371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:38:44.418371Z digest=sha256:d894c0e731a95e899a425d65aebd4d005ed94245f43771438d88b9e8ffdf048d

Observation e7ec1070-e4f4-4b16-a372-48f7c417f4d2 · 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 MultiScale MeshGraphNets

Reference 31

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unresolved
no resolver link, observed 2026-08-03T14:27:30.026592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:27:30.026592Z digest=sha256:7988699ab8bd19282f39f04fd2ac1743e9a49175cea2ab0463e73463e518024e

Observation 44e76b51-7da1-414f-8f99-615a364ba1a5 · inbound

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance cites this paper.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance MultiScale MeshGraphNets

Reference 2022

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unresolved
no resolver link, observed 2026-08-03T10:03:44.736497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:03:44.736497Z digest=sha256:a32e3f8fc5557bacbd4ca9acf100f2c57a3db9eaf35524fca926e004ca4223a4

Observation 69b48731-eba0-4b1a-a3ae-6fe5bd20a8f7 · inbound

Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates cites this paper.

Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates MultiScale MeshGraphNets

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:19:31.755585Z

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.

source=pdf_text observed=2026-05-14T22:18:22.476746Z digest=sha256:3e6be1ee162ad9461c605cdc21b1d7518d20ae9a3424f2ccfd0120e5297547d8

Observation f17a78b8-0cea-4ddf-be01-48def9487aa2 · inbound

AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction cites this paper.

AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction MultiScale MeshGraphNets

Reference 2

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verified exact
arxiv_id, observed 2026-05-10T12:40:23.982727Z

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.

source=pdf_text observed=2026-05-10T12:39:34.792801Z digest=sha256:f864b19eb61cf788361ceb5f4d0fde504803dd11ee08c9823f5100f76378a33e

Observation 7a83f04b-dacc-4a07-a4b9-9f20e50b02b1 · inbound

Mesh Based Simulations with Spatial and Temporal awareness cites this paper.

Mesh Based Simulations with Spatial and Temporal awareness MultiScale MeshGraphNets

Reference 60

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metadata mismatch
arxiv_id, observed 2026-05-09T22:13:58.399183Z

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.

source=arxiv_source observed=2026-05-09T15:00:51.468683Z digest=sha256:607d16cea4cf6838bbb8efc471268e6573dbb6406468b5018457cfed582b0687

Observation abd1c8ad-6035-4215-9985-bf1a40fc39df · inbound

Deep Wave Network for Modeling Multi-Scale Physical Dynamics cites this paper.

Deep Wave Network for Modeling Multi-Scale Physical Dynamics MultiScale MeshGraphNets

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:31:04.958687Z

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.

source=pdf_text observed=2026-05-08T17:33:24.661591Z digest=sha256:0ef91edc07f9fafbc9d579c3facf43ecd4b024f71d67dbef21f3ec2f2b95c5bf

Observation 83c83072-54e7-4924-af71-4c24b48c68b8 · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting MultiScale MeshGraphNets

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:26.165959Z

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.

source=arxiv_source observed=2026-05-12T03:27:14.464987Z digest=sha256:7e303fad7ed3bcf7ea59a0eb8d938869fb6b088751b5736f0c45b92616c11186

Observation 8f186fef-d0e5-4825-822d-e66297204b88 · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting MultiScale MeshGraphNets

Reference 100

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verified exact
arxiv_id, observed 2026-05-14T21:22:59.048617Z

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.

source=arxiv_source observed=2026-05-14T21:21:32.256476Z digest=sha256:57dbf900b1c880b7b369baa51609c1191a30101fb0f8ddc4840e6163a5e15011

Observation 470fc83d-18e0-4ac0-926b-07eebea546f5 · inbound

Physics-Informed Coarsening for Multigrid Graph Neural Surrogates cites this paper.

Physics-Informed Coarsening for Multigrid Graph Neural Surrogates MultiScale MeshGraphNets

Reference 5

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verified exact
arxiv_id, observed 2026-06-29T00:02:50.430394Z

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.

source=pdf_text observed=2026-06-28T23:16:04.007349Z digest=sha256:faba9e94fafaa588eeaaf1c33f957d1751faeb8a4d1cf31532733d0fbc4e10a8

Observation 071e45a5-d461-46cb-bb13-77b5690a9e63 · inbound

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks cites this paper.

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks MultiScale MeshGraphNets

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.191212Z

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.

source=pdf_text observed=2026-06-27T11:20:20.841798Z digest=sha256:271c5d0c44c2a370eff3a94e794ac43f9de45b811676c9d906b9f0ed2d156ae4

Observation e3d12455-3186-4a5c-9b7c-7930b767461f · inbound

3D Point World Models: Point Completion Enables More Accurate Dynamics Learning cites this paper.

3D Point World Models: Point Completion Enables More Accurate Dynamics Learning MultiScale MeshGraphNets

Reference 29

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verified exact
arxiv_id, observed 2026-07-02T18:57:16.335666Z

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.

source=pdf_text observed=2026-07-02T18:49:21.268436Z digest=sha256:4df63e6e8eafa99c9a613e016a3e1a1248694f975113b98f1adee81218b2feea

Observation 01a5a452-1025-4809-8bdc-0b13c89c25de · inbound

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses MultiScale MeshGraphNets

Reference 11

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no resolver link, observed 2026-08-02T09:07:16.694928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:07:16.694928Z digest=sha256:50d11b544048f1692d8d89e27e68d0cb57527d6a931c5c66293c929f1cc9e4c0