Paper Citation Record · LEDGER

MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.00713.

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

pith.paper-citation-record.v1
2211.00713 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:05.124380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:35:04.213784Z

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 4719aee2-dd67-4d60-b48c-78374199cda2 · inbound

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

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.124380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06301ce5-4226-4ba9-b470-19e2bf1ee57a · 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 MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T04:38:44.608768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c27758e-670c-41d7-bbcd-ca896afa7642 · inbound

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation cites this paper.

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:42:39.820512Z

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 3a98a438-a9b8-43b3-8c92-1549cf42afbf · inbound

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation cites this paper.

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.215242Z

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 fc288435-1ba0-4a04-8e22-e4f686c50ed2 · inbound

A finite-element-inspired bipartite graph learned simulator for manufacturability assessment in large-deformation sheet forming cites this paper.

A finite-element-inspired bipartite graph learned simulator for manufacturability assessment in large-deformation sheet forming MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:36:30.021132Z

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 68f0a53b-284c-4d70-ae28-d491608b5d5d · inbound

A finite-element-inspired bipartite graph learned simulator for manufacturability assessment in large-deformation sheet forming cites this paper.

A finite-element-inspired bipartite graph learned simulator for manufacturability assessment in large-deformation sheet forming MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:25:01.126082Z

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.