Paper Citation Record · LEDGER

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.23443.

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

pith.paper-citation-record.v1
2507.23443 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:52:03.571266Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac18a6f6-41de-4ae0-9b0b-a84adb5107f6 · outbound

This paper cites Investigation into aerodynamic shape optimization of planar and nonplanar wings,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Investigation into aerodynamic shape optimization of planar and nonplanar wings,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.998528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b713eea8-0a74-48b6-9ca9-23c9ddb0fc43 · outbound

This paper cites Dynamic geometry control for robust aerodynamic shape optimization,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Dynamic geometry control for robust aerodynamic shape optimization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.982342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a67948b0-7c02-4bf9-b38a-930f3a6e0c8b · outbound

This paper cites Sensitivity-based geometric parameterization for aerodynamic shape optimization,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Sensitivity-based geometric parameterization for aerodynamic shape optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.967780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a16f746-1661-4d02-af3a-b6357f6ca79f · outbound

This paper cites Gradient-limiting shape control for efficient aerodynamic optimization,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Gradient-limiting shape control for efficient aerodynamic optimization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.953237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3807c70-e280-4a12-9132-11b25a0e2e36 · outbound

This paper cites Aerostructural design exploration of a wing in transonic flow,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Aerostructural design exploration of a wing in transonic flow,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.938283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd019846-a8ad-4a03-b433-6717af3de1a2 · outbound

This paper cites SU2 Tutorials,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models SU2 Tutorials,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.923895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56a5a9af-827a-4c7d-8165-9a6ccb7f7488 · outbound

This paper cites Proper Orthogonal Decomposition, surrogate modelling and evolutionary optimization in aerodynamic design,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Proper Orthogonal Decomposition, surrogate modelling and evolutionary optimization in aerodynamic design,

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-06T10:52:03.481580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af4c89c-0faa-42b4-b5fa-d2b98560a512 · outbound

This paper cites Improving kriging surrogates of high-dimensional design models by PartialLeastSquaresdimensionreduction,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Improving kriging surrogates of high-dimensional design models by PartialLeastSquaresdimensionreduction,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.486371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eca61ba-12cb-435a-9033-22d91d417312 · outbound

This paper cites Denoising diffusion probabilistic models,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Denoising diffusion probabilistic models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.908343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc5deb07-72c3-46fb-95d9-0c7f884d8abc · outbound

This paper cites Diffusion models encode the intrinsic dimension of data manifolds,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Diffusion models encode the intrinsic dimension of data manifolds,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.893184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d9a43d1-f55b-4ab8-a8c1-27a2c0c4c6aa · outbound

This paper cites Diffairfoil: An efficient novel airfoil sampler based on latent space diffusion model for aerodynamic shape optimization,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Diffairfoil: An efficient novel airfoil sampler based on latent space diffusion model for aerodynamic shape optimization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.877384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e702c17f-3678-4d7d-b96f-2230138eaaf4 · outbound

This paper cites Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.505036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01ddcaa-a2b9-4434-a11b-d8d28d9682f6 · outbound

This paper cites Generative Aerodynamic Design with Diffusion Probabilistic Models.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Generative Aerodynamic Design with Diffusion Probabilistic Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.509838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90090f96-0f23-4547-91bb-d3e7c52579e8 · outbound

This paper cites An Introduction to the Adjoint Approach to Design,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models An Introduction to the Adjoint Approach to Design,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.861791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ee92cc0-227f-4bd6-83f8-835e08d5967c · outbound

This paper cites an unresolved cited work.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T10:52:03.634743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d89c214-e5bc-43bf-b750-32d8c4e7631e · outbound

This paper cites High-Performance Derivative Computations using CoDiPack,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models High-Performance Derivative Computations using CoDiPack,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.528270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d7903a-6185-4f8e-bd8e-5d18a226802d · outbound

This paper cites Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.532541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df72233c-caec-4329-83b1-8c846e06ffac · outbound

This paper cites D.,Optimal shape design using an unsteady continuous adjoint approach, Stanford University, 2014.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models D.,Optimal shape design using an unsteady continuous adjoint approach, Stanford University, 2014

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.846572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d9afbc7-6638-4aa1-8125-c331037f3e15 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Diffusion models: A comprehensive survey of methods and applications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.830645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 500ae7e2-3b10-4d37-9733-a752992ec9c7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Denoising Diffusion Implicit Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.544879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9ffb2a6-1c0b-46b6-8e47-c90698f687e1 · outbound

This paper cites Efficient aerodynamic design using the discrete adjoint method in SU2,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Efficient aerodynamic design using the discrete adjoint method in SU2,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.812783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecf368fd-31eb-438b-b5d4-2f39261031f5 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.797349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 540d1d37-70dc-408a-9f45-e32064a43251 · outbound

This paper cites A software package for sequential quadratic programming,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models A software package for sequential quadratic programming,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.781078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6760579a-9b22-4592-ae8c-bd4b5d518d2f · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.765023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e511d3e-990f-4e9d-97d2-613bc2898f87 · outbound

This paper cites Das Adjungiertenverfahren in der aerodynamischen Formoptimierung,.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Das Adjungiertenverfahren in der aerodynamischen Formoptimierung,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:52:03.749525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35b38b14-be2d-4d3d-87cf-4609fde99f53 · outbound

This paper cites Diffusion Model for Data-Driven Black-Box Optimization.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Diffusion Model for Data-Driven Black-Box Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.571266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1fc451-7051-4da7-8875-2efb6388c26b · outbound

This paper cites an unresolved cited work.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Unresolved cited work

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:03.519248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.