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Paper Citation Record · LEDGER

Optimization and Generation in Aerodynamics Inverse Design

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 5 inbound Pith citation observations for arXiv:2602.03582.

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

pith.paper-citation-record.v1
2602.03582 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:00:40.258379Z

measured 33 of 33 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:12:09.687589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T22:16:16.086484Z

Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation 9f47cbed-5cdd-4a15-95a8-dcb588c83187 · outbound

This paper cites 17 Optimization and Generation in Aerodynamics Inverse Design B.3.

Optimization and Generation in Aerodynamics Inverse Design 17 Optimization and Generation in Aerodynamics Inverse Design B.3

Reference 2

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Observation 219b8396-0266-402c-8445-933997ac76b0 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Optimization and Generation in Aerodynamics Inverse Design Shap-E: Generating Conditional 3D Implicit Functions

Reference 7

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source=pdf_text observed=2026-08-03T05:00:38.321941Z digest=sha256:5fd2998b6f06dad0f3ebaa2b1b7c86c02684e3176f20f6f47e3d2f04fb514e82

Observation 3f690726-8ecc-421a-972a-28a7aacfb4c5 · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Optimization and Generation in Aerodynamics Inverse Design Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 9

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source=pdf_text observed=2026-08-03T05:00:38.482567Z digest=sha256:3b98d5ff6cc311125030afdb85296df156af09bf504ba5a5ea82b8926cea64cf

Observation cd57e6a2-acd2-43db-9684-2b1c4de79e17 · outbound

This paper cites Flow Matching Guide and Code.

Optimization and Generation in Aerodynamics Inverse Design Flow Matching Guide and Code

Reference 11

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source=pdf_text observed=2026-08-03T05:00:38.594482Z digest=sha256:f01fb858e683951fd5bcb151719d69e8a90066d4a5c91c532ece493fdccb738a

Observation 8a5a1cdb-d292-4d8f-8a72-8905733ef888 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Optimization and Generation in Aerodynamics Inverse Design Score-Based Generative Modeling through Stochastic Differential Equations

Reference 13

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source=pdf_text observed=2026-08-03T05:00:38.735089Z digest=sha256:a81be249fc9c1e503b9cce9a976beadb0320d15c3446685d28edfec2f5af56da

Observation 4dd7b2d9-d80d-4a76-945d-80ee9b9acc61 · outbound

This paper cites Tripoptimizer: Generative 3d shape optimization and drag prediction using triplane vae networks.arXiv preprint arXiv:2509.12224,.

Optimization and Generation in Aerodynamics Inverse Design Tripoptimizer: Generative 3d shape optimization and drag prediction using triplane vae networks.arXiv preprint arXiv:2509.12224,

Reference 15

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source=pdf_text observed=2026-08-03T05:00:38.863154Z digest=sha256:3f1f4d7fa73a8123324d1c2cf384306952e6db5accaed235e4a2da6e14695aac

Observation 7d8a6248-76f9-4231-bca8-4a27e0d68fe8 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Optimization and Generation in Aerodynamics Inverse Design Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 16

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source=pdf_text observed=2026-08-03T05:00:38.919854Z digest=sha256:80f3eadb8f5a2e08509f5e4bfc2b44e4076f9517e9ac5024b26f1c1bfc1bc48e

Observation b477b2f2-1ae2-4f7c-96b9-0b64fedc4f33 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Optimization and Generation in Aerodynamics Inverse Design 3d shapenets: A deep representation for volumetric shapes

Reference 17

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source=pdf_text observed=2026-08-03T05:00:38.998471Z digest=sha256:4ebd62920abf3d001612732f60949cc166db6b0accfa4729f5cfa8c453046743

Observation 56417ee0-5e38-495c-99d1-7530dea8a473 · outbound

This paper cites Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.

Optimization and Generation in Aerodynamics Inverse Design Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Reference 20

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source=pdf_text observed=2026-08-03T05:00:39.252319Z digest=sha256:b03195e35851a29f97d6c549b18c999f22160e821252797bc1915fe7ed609f72

Observation f5a90e0c-1ed4-4c32-875e-0bb915207323 · outbound

This paper cites 15 B.2 Proof of Theorem 2.2.

Optimization and Generation in Aerodynamics Inverse Design 15 B.2 Proof of Theorem 2.2

Reference 21

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Observation e6d6f169-e14f-4fce-b20f-1354719c0366 · outbound

This paper cites Guided generation.As discussed in Sec.

Optimization and Generation in Aerodynamics Inverse Design Guided generation.As discussed in Sec

Reference 22

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Observation d515754e-8704-4775-b534-80ad56b571ca · outbound

This paper cites an unresolved cited work.

Optimization and Generation in Aerodynamics Inverse Design Unresolved cited work

Reference 25

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Observation e95e051d-8cb0-4536-bb01-612845d85373 · outbound

This paper cites 34 Optimization and Generation in Aerodynamics Inverse Design G.

Optimization and Generation in Aerodynamics Inverse Design 34 Optimization and Generation in Aerodynamics Inverse Design G

Reference 90

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Observation 75088778-3270-4fb0-8db4-8c747e1b3900 · outbound

This paper cites step size.

Optimization and Generation in Aerodynamics Inverse Design step size

Reference 95

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Observation 38c08db8-4113-48f2-b510-910cb23f8101 · outbound

This paper cites The critic shares the same backbone and uses the last token as the value head; it is trained for 104 steps with batch size 64 and learning rate 2×10 −4.

Optimization and Generation in Aerodynamics Inverse Design The critic shares the same backbone and uses the last token as the value head; it is trained for 104 steps with batch size 64 and learning rate 2×10 −4

Reference 256

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source=pdf_text observed=2026-08-03T05:00:40.111968Z digest=sha256:2e86755bc3d2c0d559d7f2f9ce62b2da6e48f883a496b0ca6b3c693f94fdff63

Observation ab9ed91b-f6af-4d07-a593-2310b2a62912 · outbound

This paper cites URL https://epubs.siam.

Optimization and Generation in Aerodynamics Inverse Design URL https://epubs.siam

Reference 2005

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source=pdf_text observed=2026-08-03T05:00:38.811504Z digest=sha256:6b6f00b30cc05a185e6083b4a932ca657b314f2a47e9a397ff0bf48122127346

Observation a6b6e71b-6872-45c8-9f70-375d1ce18c3b · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Optimization and Generation in Aerodynamics Inverse Design Planning with Diffusion for Flexible Behavior Synthesis

Reference 2007

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Observation 6bdbc15a-247f-426f-9354-62caed138ed6 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Optimization and Generation in Aerodynamics Inverse Design D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2009

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Observation d397f9f6-84c3-4501-bd7a-1b2a4765d850 · outbound

This paper cites Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.

Optimization and Generation in Aerodynamics Inverse Design Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Reference 2013

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source=pdf_text observed=2026-08-03T05:00:37.957923Z digest=sha256:872ee634c51219849cb08c9fe55e8582e95d21b25cfadc4da18ae1abcef98281

Observation 6b3f5f24-ab3c-45ab-aa02-b546fcc08dd5 · outbound

This paper cites Native and Compact Structured Latents for 3D Generation.

Optimization and Generation in Aerodynamics Inverse Design Native and Compact Structured Latents for 3D Generation

Reference 2015

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source=pdf_text observed=2026-08-03T05:00:39.086791Z digest=sha256:39a54994c2356edd15734c114f468c88a46d78db40fcd35ca5e7f0c7aaf09af1

Observation 99baa57d-cecd-4a8b-b08d-205c63748d36 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Optimization and Generation in Aerodynamics Inverse Design Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2016

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source=pdf_text observed=2026-08-03T05:00:37.757758Z digest=sha256:0ec2ed76e1f8d8cb717bf9a477795fc93daac366ed7fcf9fb1f2a7e8b6e12768

Observation a048124c-8e6d-49f6-9933-79c1dfe67d8b · outbound

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

Optimization and Generation in Aerodynamics Inverse Design Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2018

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Observation a6236212-3779-432a-bb0a-1d96966a261d · outbound

This paper cites Physgen: Physically grounded 3d shape generation for industrial design.arXiv preprint arXiv:2512.00422,.

Optimization and Generation in Aerodynamics Inverse Design Physgen: Physically grounded 3d shape generation for industrial design.arXiv preprint arXiv:2512.00422,

Reference 2019

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Observation 39a3a689-9c00-49dc-8576-7fd283cd610f · outbound

This paper cites Hyperparameters are tuned per method following Feng et al.

Optimization and Generation in Aerodynamics Inverse Design Hyperparameters are tuned per method following Feng et al

Reference 2020

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Observation 00f36f2e-fdb7-4e19-8ca9-46046c7edf1e · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Optimization and Generation in Aerodynamics Inverse Design Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 2021

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source=pdf_text observed=2026-08-03T05:00:38.675631Z digest=sha256:5b199649e973786aa97a7324ae79a89f9dd38d18a8c4bd01fd1578924eba2890

Observation 42c68f12-9c3c-498f-9b73-adad0334b833 · outbound

This paper cites Auto-Encoding Variational Bayes.

Optimization and Generation in Aerodynamics Inverse Design Auto-Encoding Variational Bayes

Reference 2023

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source=pdf_text observed=2026-08-03T05:00:38.376032Z digest=sha256:ee15ff7e129334b69efb1f3068892f3cf4c4e02c1214c78f68578e5678adc81b

Observation 62c089f0-f1e2-4746-9f83-7501f0e05669 · outbound

This paper cites On the Guidance of Flow Matching.

Optimization and Generation in Aerodynamics Inverse Design On the Guidance of Flow Matching

Reference 2024

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Observation 7f559432-d373-4933-a1c5-9fb47018b7ac · outbound

This paper cites and Martinelli, L.

Optimization and Generation in Aerodynamics Inverse Design and Martinelli, L

Reference 2025

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source=pdf_text observed=2026-08-03T05:00:38.086757Z digest=sha256:0cac1ee203ab85cbd06e74ed87ccf04ce63aafaa86353a25e7980873f45a290a

Pith citing papers

Observation 83702ff4-04a0-42e6-a58f-61af903e8b32 · inbound

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion cites this paper.

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion Optimization and Generation in Aerodynamics Inverse Design

Reference 52

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arxiv_id, observed 2026-05-29T03:04:37.064339Z

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source=arxiv_source observed=2026-05-08T17:06:47.669620Z digest=sha256:6a649d00a3ae1d755d8761d3f7a865344f826cc9960c4f4404c06833782d74d9

Observation 003a486c-7df0-4711-bca9-52e0db348555 · inbound

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion cites this paper.

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion Optimization and Generation in Aerodynamics Inverse Design

Reference 52

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arxiv_id, observed 2026-05-29T03:04:37.064339Z

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Observation be216534-96ed-46b2-a281-6425206128e3 · inbound

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion cites this paper.

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion Optimization and Generation in Aerodynamics Inverse Design

Reference 52

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source=arxiv_source observed=2026-05-15T06:32:44.867265Z digest=sha256:2e6a3fe1e2c6254a51c2da17639d8bfc9db25ba04391a7e058d3dea9cf227533

Observation 592f322c-6f2b-4d39-a05b-bd58bfb44ee0 · inbound

Planar Symmetric Pattern Generation cites this paper.

Planar Symmetric Pattern Generation Optimization and Generation in Aerodynamics Inverse Design

Reference 66

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source=arxiv_source observed=2026-06-28T15:37:32.767405Z digest=sha256:91e16c8bb37251e5e38d6c71f9d5c473aea463fa10b04d36b38b8a69cebd6a3e

Observation 608c862a-5234-479a-b636-8194db60eac5 · inbound

Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design cites this paper.

Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design Optimization and Generation in Aerodynamics Inverse Design

Reference 18

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