Paper Citation Record · LEDGER

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.15372.

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

pith.paper-citation-record.v1
2412.15372 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:33:48.296324Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8df92e6-1ac4-430c-8fd6-807cf551a1f9 · outbound

This paper cites Issues in deciding whether to use multifidelity surrogates.Aiaa Journal, 57(5):2039–2054,.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Issues in deciding whether to use multifidelity surrogates.Aiaa Journal, 57(5):2039–2054,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:48.559806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cdc5bc58-8559-4f1b-8c06-e6b14863ab6c · outbound

This paper cites FO-PINNs: A First-Order formulation for Physics Informed Neural Networks.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations FO-PINNs: A First-Order formulation for Physics Informed Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.247663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554f2d1f-5539-4f26-9d3f-2d402b9b6286 · outbound

This paper cites Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:33:48.458133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ced521f-1de0-46cc-8f0a-7b640b6f43b5 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Semi-Supervised Classification with Graph Convolutional Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.262358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8970c8d2-406a-47d5-a986-950f78ce4b8d · outbound

This paper cites Decoupled Weight Decay Regularization.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Decoupled Weight Decay Regularization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.271657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fc77c5-ea05-45fe-ac0a-82c846d77f0f · outbound

This paper cites Accelerating Eulerian Fluid Simulation With Convolutional Networks.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Accelerating Eulerian Fluid Simulation With Convolutional Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.286138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865dd90c-d583-4e40-8656-0b52d1bce65b · outbound

This paper cites Graph Attention Networks.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Graph Attention Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.291199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c0e50e-cced-4e01-947f-8de336bcec12 · outbound

This paper cites Graph transformer networks.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Graph transformer networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:48.543015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e857bf4-a53b-4121-9469-1d981b844e0e · outbound

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

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Relational inductive biases, deep learning, and graph networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.218449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627210b0-5176-405b-ab96-6e4c54fcd50e · outbound

This paper cites MultiScale MeshGraphNets.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations MultiScale MeshGraphNets

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.238059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b195313b-c72c-4008-a723-598fdf9602ef · outbound

This paper cites Review of multi-fidelity models.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Review of multi-fidelity models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.233334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeaaf57d-a95e-4ceb-b174-2592d2153cf5 · outbound

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

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Learning Mesh-Based Simulation with Graph Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.281184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54035d82-e57a-4d1c-8039-82615e91bde9 · outbound

This paper cites Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.257565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f11de5-9261-40f9-9009-a480a31d33e0 · outbound

This paper cites Transfer learning based multi-fidelity physics informed deep neural network.Journal of Computa- tional Physics, 426:109942,.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Transfer learning based multi-fidelity physics informed deep neural network.Journal of Computa- tional Physics, 426:109942,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:48.591140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eec47039-92f1-4568-960f-0cc2abcca103 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:48.266739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12beb5a7-772b-4448-a642-7204bbc52aed · outbound

This paper cites Graph neural solver for power systems.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Graph neural solver for power systems

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:33:48.575558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.