Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:29:31.176289Z
Paper Citation Record · LEDGER
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2508.21249.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T12:39:34.792801Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:46:18.980347Z
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy12
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4535a9e4-cadf-4c0b-99db-eaecbaf88642 · outbound
This paper cites DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52efafe4-79b0-490c-89bf-50e03300239b · outbound
This paper cites Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction.
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 1a177505-e9b0-4bc8-b3d5-d823ddfe0f07 · outbound
This paper cites Machine learning–accelerated computational fluid dynamics.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Machine learning–accelerated computational fluid dynamics
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:29.074841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 216def5d-4312-44b1-a944-96355e13a63f · outbound
This paper cites Machine learning for road vehicle aerodynamics.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Machine learning for road vehicle aerodynamics
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:34.566649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fab9d7fa-fd75-4772-8459-f8f47324eb22 · outbound
This paper cites Neural Con- cept, accessed August 27, 2025, https://www.neuralconcept.com/post/ applying-machine-learning-in-cfd-to-accelerate-simulation.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Neural Con- cept, accessed August 27, 2025, https://www.neuralconcept.com/post/ applying-machine-learning-in-cfd-to-accelerate-simulation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:34.252256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation be4dc481-5ea8-42b5-b2c4-0fe175aa1335 · outbound
This paper cites Neuralcfd: Deep learning on high-fidelity automotive aerodynamics simulations.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Neuralcfd: Deep learning on high-fidelity automotive aerodynamics simulations
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:33.956845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f1174164-324d-416a-b578-fa5376ca6a32 · outbound
This paper cites Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:29.515527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c6ee588-2149-46c3-8d6b-2261a09925a9 · outbound
This paper cites NVIDIA Docs, accessed August 27, 2025, https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/ cfd/vortex_shedding_mgn/readme.html.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics NVIDIA Docs, accessed August 27, 2025, https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/ cfd/vortex_shedding_mgn/readme.html
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:33.685722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c913a851-1058-49ae-a958-0b43eb257bfc · outbound
This paper cites Reducing frequency bias of fourier neural operators in 3d seismic wavefield simulations through multistage training.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Reducing frequency bias of fourier neural operators in 3d seismic wavefield simulations through multistage training
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:33.394174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 64ab2f5e-f560-4d6b-9db8-67d63a598226 · outbound
This paper cites Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:33.119347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1bf9560-cc14-465e-9299-36d3fc9b03c6 · outbound
This paper cites Hierarchical mixtures of experts and the em algorithm.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Hierarchical mixtures of experts and the em algorithm
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:30.047458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c230685d-4c23-43b4-94ad-ca6f30810371 · outbound
This paper cites DataCamp, accessed August 27, 2025, https://www.datacamp.com/blog/mixture-of-experts-moe.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics DataCamp, accessed August 27, 2025, https://www.datacamp.com/blog/mixture-of-experts-moe
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:32.885742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d7a07f8c-b011-4e16-a79b-47ba18de0cfd · outbound
This paper cites ˇCVUT DSpace, accessed August 27, 2025, https://dspace.cvut.cz/bitstream/handle/ 10467/123538/F3-BP-2025-Bakhtigariev-Robert-thesis.pdf.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics ˇCVUT DSpace, accessed August 27, 2025, https://dspace.cvut.cz/bitstream/handle/ 10467/123538/F3-BP-2025-Bakhtigariev-Robert-thesis.pdf
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:32.626788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a21982e-583b-432d-b3b0-d0e09507788b · outbound
This paper cites DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:30.347832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 718543e6-f754-4afd-92cd-ca149de62829 · outbound
This paper cites Deus Ex Machina, ac- cessed August 27, 2025, https://deus-ex-machina-ism.com/?p=68105&lang=en.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Deus Ex Machina, ac- cessed August 27, 2025, https://deus-ex-machina-ism.com/?p=68105&lang=en
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:32.364977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1f6fbbb-a543-4033-9475-077299976887 · outbound
This paper cites X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:30.596211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b82a6c1a-b2c4-4ba2-b39d-d8d5232fffb2 · outbound
This paper cites MultiScale MeshGraphNets.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics MultiScale MeshGraphNets
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:30.695944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96801e3e-fbad-4856-bf5f-710786d5ddd2 · outbound
This paper cites Integrated surrogate model-based approach for aerodynamic design optimization of three-stage axial compressor in gas turbine applications.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Integrated surrogate model-based approach for aerodynamic design optimization of three-stage axial compressor in gas turbine applications
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:32.166444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aecf14ab-00ed-4e0a-8ef1-8519f28f00a1 · outbound
This paper cites The application of ensemble machine learning methods for construction of surrogate models in problems of preliminary design of an aircraft wing airfoil.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics The application of ensemble machine learning methods for construction of surrogate models in problems of preliminary design of an aircraft wing airfoil
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:31.943256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5295b756-0273-4ffd-8f04-1f7a2b2747f0 · outbound
This paper cites Airfoil aerodynamic optimization design using ensemble learning surrogate model.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics Airfoil aerodynamic optimization design using ensemble learning surrogate model
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:29:31.696982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4a2be4ee-44f8-4b54-9c0d-9b6ec81dd3da · outbound
This paper cites A comprehensive survey of mixture-of-experts: Algorithms, theory, and applications.
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics A comprehensive survey of mixture-of-experts: Algorithms, theory, and applications
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:29:31.176289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation dc26af43-e5ec-4cc2-8249-0036cb51d98b · 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 A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:46:19.019341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.