Paper Citation Record · LEDGER

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 9 inbound Pith citation observations for arXiv:2502.04317.

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

pith.paper-citation-record.v1
2502.04317 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:55:42.098869Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:50:33.788244Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:49:10.406943Z

Reference resolution

19 of 19 outbound references displayed

verified exact5
verified fuzzy3
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e581c969-4771-4b42-9b12-fa0a7f0146d2 · outbound

This paper cites 3.1) e.g.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction 3.1) e.g

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:42.681589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3586930c-965a-47d9-8447-c964deeaadef · outbound

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

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.056145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93997e33-c521-4c3e-9018-23241e0af2f4 · outbound

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

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Fourier Neural Operator for Parametric Partial Differential Equations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.071704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8189013-424f-4111-acbf-8c77e76aa8a9 · outbound

This paper cites Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.075730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2429bd-0770-444f-80cf-9a03605cda50 · outbound

This paper cites Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al

Reference 15

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:55:42.353125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b4cd92c-1d15-43e0-8873-3a0de7097601 · outbound

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

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Learning Mesh-Based Simulation with Graph Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.083304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e18e95b-2b6e-4685-ad98-ab865536c6e6 · outbound

This paper cites an unresolved cited work.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:55:42.693955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdbb2c05-220b-43a3-816b-ac58f13d5037 · outbound

This paper cites an unresolved cited work.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:55:42.669375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57fedfea-89a9-400f-9711-49ce9857f3d5 · outbound

This paper cites CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression

Reference 1984

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:55:42.656491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c81a9e1-5e69-4089-8098-55c53cfb6bd3 · outbound

This paper cites Hermosilla, T.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Hermosilla, T

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:42.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03cc343a-316f-4583-ad7b-ce37fd6af147 · outbound

This paper cites Olaf Ronneberger, Philipp Fischer, and Thomas Brox.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Olaf Ronneberger, Philipp Fischer, and Thomas Brox

Reference 2013

Resolution: verified exact; doi, observed 2026-08-08T22:55:42.131253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91e60dc2-8508-4151-a731-4247c03d76ff · outbound

This paper cites Kossaifi, A.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Kossaifi, A

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:42.705571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 997c15d2-82a6-4458-9e7c-2d555e46e3ba · outbound

This paper cites Point Convolutional Neural Networks by Extension Operators.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Point Convolutional Neural Networks by Extension Operators

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.027460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f1d2059-ada9-4528-a62b-004a27557477 · outbound

This paper cites DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:55:42.618477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5524cd16-51ea-4a59-b3be-c1e86047f88c · outbound

This paper cites doi: 10.1109/CVPR42600.2020.00610.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction doi: 10.1109/CVPR42600.2020.00610

Reference 2020

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:55:42.570120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ec39723-ed59-466a-bbad-6f3b3a2a064f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.052514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2418307c-f97f-4048-9c23-1219e959cb03 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction ShapeNet: An Information-Rich 3D Model Repository

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.031656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23185571-55aa-4af6-8086-52c4f8ecdec0 · outbound

This paper cites Submanifold Sparse Convolutional Networks.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Submanifold Sparse Convolutional Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.040288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6dfa21c-1af2-4c9b-b85e-f5fcf45e8fd9 · outbound

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

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction GraphCast: Learning skillful medium-range global weather forecasting

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:42.067784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8fa91fc0-cc5b-4b42-bd84-b1000391d652 · inbound

Learning Mappings in Mesh-based Simulations cites this paper.

Learning Mappings in Mesh-based Simulations Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:50:33.788244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad269970-9dc3-48cb-89dd-849652f5b5af · inbound

A Benchmarking Framework for AI models in Automotive Aerodynamics cites this paper.

A Benchmarking Framework for AI models in Automotive Aerodynamics Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:31:59.181548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52efafe4-79b0-490c-89bf-50e03300239b · 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 Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:29:28.943798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77062843-f046-49e0-917d-ec9519b237b9 · 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 Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T14:27:30.030083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7c00ac-974e-4c79-843d-5936acaec1ee · inbound

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling cites this paper.

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:09.336027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c70364f2-8c2a-4339-a298-a3b00b358626 · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:55:58.777762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94f94b1b-2480-45d8-b2e6-799b02a16559 · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.410591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 707fed43-d8f9-4e20-80f1-844138be4148 · inbound

ShardTensor: Domain Parallelism for Scientific Machine Learning cites this paper.

ShardTensor: Domain Parallelism for Scientific Machine Learning Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T03:07:09.054665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d37daf3b-f724-4922-97b5-b1072280be1c · 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 Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T02:58:00.402177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.