Paper Citation Record · LEDGER

DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2408.11969.

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

pith.paper-citation-record.v1
2408.11969 v2

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measured 0 of 0 reference resolution

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measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:16:22.087267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:44:57.589839Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation 44609552-8319-4a3c-9ff0-e2e729666f72 · inbound

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation cites this paper.

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

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Observation 95717cd4-654c-4f4b-9e7e-59109d7a3c02 · 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 DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 2021

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Observation 43438884-ee8d-47cb-95b9-d14ca73a695f · inbound

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

A Benchmarking Framework for AI models in Automotive Aerodynamics DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 18

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Observation 40cb9ade-1338-4ace-8b34-f3490c2fbc83 · inbound

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

Inferring processes within dynamic forest models using hybrid modeling DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T05:50:01.940489Z

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Observation 0ab8416b-b73d-4dbd-8a73-8b898e04f8c9 · 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 DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T05:45:56.548941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4535a9e4-cadf-4c0b-99db-eaecbaf88642 · 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 DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T14:29:28.858039Z

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Observation 4617d34b-0c7d-40cf-94dc-c7b0d2904a08 · 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 DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T14:27:29.959204Z

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Observation a0ad3e7b-5798-4512-82a3-2772e117b8f4 · inbound

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training cites this paper.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:20:06.950915Z

Source-reported events for the cited work

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Observation 750dc61e-5c3b-4b65-a6c5-0c9cc47dd9c6 · inbound

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics cites this paper.

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:04.484489Z

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Observation 52a50887-7a8d-4411-b991-e0d835c9057c · inbound

M$^3$: Reframing Training Measures for Discretized Physical Simulations cites this paper.

M$^3$: Reframing Training Measures for Discretized Physical Simulations DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.619643Z

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 667579cc-19d3-4ca0-99df-be51299ef0d4 · inbound

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

ShardTensor: Domain Parallelism for Scientific Machine Learning DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T03:07:09.094340Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d08c61d5-7ae0-4eb6-86e1-593a16fbd620 · inbound

Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates cites this paper.

Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T23:03:50.480596Z

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 7173dd4e-18a3-4003-a8d5-7b5685eddcd8 · inbound

ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization cites this paper.

ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:34:00.623445Z

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 ca1dbedc-c739-47bb-a75b-d0cbb834ee56 · inbound

ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization cites this paper.

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:44:57.591299Z

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 f2a786c6-f198-4fe2-95b9-8841c99f742c · inbound

Transformer-based Neural Operators for 3D Wind Field Prediction over Complex Mountainous Terrain cites this paper.

Transformer-based Neural Operators for 3D Wind Field Prediction over Complex Mountainous Terrain DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T21:03:59.252765Z

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 64921fc2-6f3b-4a55-9064-60a5229899b0 · inbound

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning cites this paper.

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T10:03:17.287321Z

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 4d404dcc-0eb8-4b11-8b82-ae1efabf66b0 · inbound

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions cites this paper.

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T03:30:44.113507Z

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Unavailable: canonical work link unavailable.

Observation 341881a4-8cda-459f-b11b-63ea640ed68b · inbound

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates cites this paper.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:52.855919Z

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Observation d15eeb60-fd6f-4955-8b84-4ede663b4e47 · inbound

The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics cites this paper.

The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:22.087267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.