Paper Citation Record · LEDGER

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2604.26337.

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

pith.paper-citation-record.v1
2604.26337 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T13:29:32.888871Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

16 of 16 outbound references displayed

verified exact2
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 973d9683-01a8-4362-a06a-f79bbe06854e · outbound

This paper cites Machine learning in aircraft design: a comprehensive review of optimization, aerodynamics, and structural applications.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Machine learning in aircraft design: a comprehensive review of optimization, aerodynamics, and structural applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.661821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85fd7681-117d-4325-b5e6-657be6b8d2fa · outbound

This paper cites Filter design and optimization of elec- tromechanical actuation systems using search and sur- rogate algorithms for more-electric aircraft applica- tions.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Filter design and optimization of elec- tromechanical actuation systems using search and sur- rogate algorithms for more-electric aircraft applica- tions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.685940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec30e9e7-19e4-4f42-aef8-5cc60a6b8c56 · outbound

This paper cites Multidisciplinary design and optimiza- tion of the silent aircraft.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Multidisciplinary design and optimiza- tion of the silent aircraft

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.671024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61cea64b-c226-4e6a-813e-3c2254653fe5 · outbound

This paper cites S ´obester and A.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search S ´obester and A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.673661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9eaa217-c2d5-4643-963d-96865daa3f52 · outbound

This paper cites Fast pre- dictions of aircraft aerodynamics using deep-learning techniques.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Fast pre- dictions of aircraft aerodynamics using deep-learning techniques

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.668123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 992dd3c1-45ad-4883-9050-10583643ff25 · outbound

This paper cites Agile paradigm: The next generation collaborative mdo for the development of aeronautical systems.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Agile paradigm: The next generation collaborative mdo for the development of aeronautical systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.682308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7fc197b-e87d-43ab-b7b8-317b2fc4be37 · outbound

This paper cites Evaluation of mul- tidisciplinary optimization approaches for aircraft con- ceptual design.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Evaluation of mul- tidisciplinary optimization approaches for aircraft con- ceptual design

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.676448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e3b9ed7-b259-4059-80ea-264b0f98253f · outbound

This paper cites Learning implicit fields for generative shape modeling.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Learning implicit fields for generative shape modeling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.665054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2b8b33a-21cb-446a-b3e4-11ab94cd0e2c · outbound

This paper cites The shape variational autoencoder: A deep generative model of part-segmented 3d objects.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search The shape variational autoencoder: A deep generative model of part-segmented 3d objects

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.679347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f62e90d1-2ec9-4154-a350-08698196f2b6 · outbound

This paper cites Learning generative models of 3d structures.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Learning generative models of 3d structures

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.688901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94a35136-5573-4e52-98bc-e325a805f9e3 · outbound

This paper cites Pstnet: Physically-structured turbulence network.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Pstnet: Physically-structured turbulence network

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:56:26.181593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c50fb992-da09-4220-9784-af635be9c7f2 · outbound

This paper cites Shepherd grid strategy: Towards reliable swarm interception.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Shepherd grid strategy: Towards reliable swarm interception

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.699769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 754c02a8-3923-4b7c-ad40-7903a5cb7c79 · outbound

This paper cites Bayesian optimization with hidden constraints for air- craft design.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Bayesian optimization with hidden constraints for air- craft design

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.704612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de4e5ac9-5923-4842-8848-0becad0f1337 · outbound

This paper cites GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:56:26.188732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa32dee4-f8cf-4e3b-aaac-74ef9a0afe49 · outbound

This paper cites Intelligent fault diagnosis of an aircraft fuel system using machine learning—a literature review.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Intelligent fault diagnosis of an aircraft fuel system using machine learning—a literature review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.692437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7f4be4b-b14e-400c-9932-7ac4f86dc85f · outbound

This paper cites Im- provement of efficient global optimization with appli- cation to aircraft wing design.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search Im- provement of efficient global optimization with appli- cation to aircraft wing design

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:38:51.695387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.