Paper Citation Record · LEDGER

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.22662.

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

pith.paper-citation-record.v1
2506.22662 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:08.152540Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

29 of 29 outbound references displayed

verified exact11
verified fuzzy6
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6706095-d282-4fca-b7a9-5877971e6dc8 · outbound

This paper cites Brian Spalding.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Brian Spalding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.772312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62f03018-8dff-4a96-84ef-b288324397a0 · outbound

This paper cites View-dependent refinement of progressive meshes.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks View-dependent refinement of progressive meshes

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:05:10.789879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 471f9eb8-ce1a-4bb3-9220-7ba435afcb40 · outbound

This paper cites UCNN: A Convolutional Strategy on Unstructured Mesh.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks UCNN: A Convolutional Strategy on Unstructured Mesh

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.606401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9437d33e-df36-45dd-8fad-294d9da62e59 · outbound

This paper cites Tucker, and Shahrokh Shahpar.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Tucker, and Shahrokh Shahpar

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T22:05:09.816410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7477685-b02e-40fc-ab92-e5afc97b6c84 · outbound

This paper cites Chawner and Nigel J.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Chawner and Nigel J

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T22:05:09.596418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a660ee8-8032-440b-a49b-f8bddaf1f24c · outbound

This paper cites Low Reynolds Number Airfoil Design Lecture Notes.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Low Reynolds Number Airfoil Design Lecture Notes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.459041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b2a33b5-d898-4a09-91fe-4b70e01bf01b · outbound

This paper cites Computational and experimental study on the aerodynamic performance of NACA 4412 airfoil with slot and groove.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Computational and experimental study on the aerodynamic performance of NACA 4412 airfoil with slot and groove

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T22:05:09.384237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4560e87a-1807-4003-830c-a521c3f36630 · outbound

This paper cites Deep learning in the finite element method.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Deep learning in the finite element method

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.309243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc4faf11-59f4-415e-896a-e596328ae7bf · outbound

This paper cites CFDNet: A deep learning-based accelerator for fluid simula- tions.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks CFDNet: A deep learning-based accelerator for fluid simula- tions

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T22:05:09.256805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 61fede7b-0edf-4fcf-8b77-b0fb9008449a · outbound

This paper cites Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:05:10.555572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9016d885-aeb6-4c73-9248-ddc5afd6a61e · outbound

This paper cites Mesh Generation for Flow Analysis by using Deep Reinforcement Learning.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Mesh Generation for Flow Analysis by using Deep Reinforcement Learning

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-06T22:05:06.646393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ecc796-b6b1-4fc1-aa30-7ac7f3f6afe5 · outbound

This paper cites A mesh optimization method using machine learning technique and variational mesh adaptation.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks A mesh optimization method using machine learning technique and variational mesh adaptation

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T22:05:09.087121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e291697-a24a-497a-8f49-e7835635c57f · outbound

This paper cites Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:05:10.308011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb2fee80-759f-4e9f-b46b-a9b3a6088010 · outbound

This paper cites A data augmentation-based technique for deep learning applied to CFD simulations.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks A data augmentation-based technique for deep learning applied to CFD simulations

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T22:05:08.944010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88860ff6-b94e-4fb9-8f04-d0b86408b09c · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.016038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4678e523-f622-481b-8420-493064e5f8d5 · outbound

This paper cites Machine Learning for Fluid Mechanics.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Machine Learning for Fluid Mechanics

Reference 16

Resolution: verified exact; doi, observed 2026-08-06T22:05:08.769807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d65f9eb7-e39b-448f-b7af-5574d27e8bfa · outbound

This paper cites CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.188028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa2b1bb-94b1-423b-8052-3571b98da272 · outbound

This paper cites Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.287052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965bf752-e767-41e4-906c-0134b172e61f · outbound

This paper cites DGM: A deep learning algorithm for solving partial differential equations.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks DGM: A deep learning algorithm for solving partial differential equations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.363943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb7e14f-0663-4ace-8236-6743a794ca05 · outbound

This paper cites Mesh Optimization.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Mesh Optimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.113807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bdc56be6-9852-4c1b-ad20-2d23575c2556 · outbound

This paper cites A parallel parameterized level set topology opti- mization framework for large-scale structures with unstructured meshes.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks A parallel parameterized level set topology opti- mization framework for large-scale structures with unstructured meshes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.557244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab0db99-b65f-4f06-8217-e66c6ca95796 · outbound

This paper cites Geometric parameters in the target matrix mesh optimization paradigm.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Geometric parameters in the target matrix mesh optimization paradigm

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.654143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0fd293f-52ce-41fa-9eca-7866b1e19cc7 · outbound

This paper cites Ahmed et al.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Ahmed et al

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.718211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f9f78b4-e5be-4de6-b576-df8277859483 · outbound

This paper cites MeshCNN: A Network with an Edge.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks MeshCNN: A Network with an Edge

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:05:08.671191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 282c06c2-18ef-440d-9889-03a212e3f892 · outbound

This paper cites Qi et al.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Qi et al

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.828049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515b78ea-e078-49b9-a57d-cfbeb6932b79 · outbound

This paper cites MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:05:08.475426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b8e76ba3-f4ae-458a-ac8b-10312a60118c · outbound

This paper cites GWCNN: A Metric Alignment Layer for Deep Shape Analysis.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks GWCNN: A Metric Alignment Layer for Deep Shape Analysis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:10.934179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8386de1e-33b4-4bde-82f0-4cb3d8abbfbd · outbound

This paper cites PointCNN: Convolution On $\mathcal{X}$-Transformed Points.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks PointCNN: Convolution On $\mathcal{X}$-Transformed Points

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:08.052170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee1d8135-3afa-4b22-bd7b-bce185e3c76b · outbound

This paper cites an unresolved cited work.

AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-06T22:05:08.298163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.