Paper Citation Record · LEDGER

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.03445.

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

pith.paper-citation-record.v1
2501.03445 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:55:48.411226Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 fuzzy18
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78c37281-1380-4a48-a994-170fac333f14 · outbound

This paper cites Urban air mobility (UAM) market study,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Urban air mobility (UAM) market study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.892207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f09a12a-5764-4ebb-b692-9f70d48f2c63 · outbound

This paper cites Systems-levelanalysisofOnDemandMobilityforaviation,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Systems-levelanalysisofOnDemandMobilityforaviation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.875831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 072b3756-06b3-4044-95f6-86c1d1cf84d5 · outbound

This paper cites A study in reducing the cost of vertical flight with electric propulsion,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design A study in reducing the cost of vertical flight with electric propulsion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.860201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c36fd23a-3805-41ae-9cb2-bada9521b437 · outbound

This paper cites Challenges and key requirements of batteries for electric vertical takeoff and landing aircraft,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Challenges and key requirements of batteries for electric vertical takeoff and landing aircraft,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.844403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5a25bde-2645-4780-b5a6-dac3ace1329a · outbound

This paper cites The promise of energy-efficient battery-powered urban aircraft,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design The promise of energy-efficient battery-powered urban aircraft,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.824033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1b77a60-50cc-4618-918e-04c83c7fc2bf · outbound

This paper cites Tilt-wing eVTOL takeoff trajectory optimization,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Tilt-wing eVTOL takeoff trajectory optimization,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.307531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ba166a-e1ca-4dc6-9246-ac92b7a5b01d · outbound

This paper cites eVTOL passenger acceptance,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design eVTOL passenger acceptance,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.787980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9352beb-ca64-425a-b0fc-ca5c4688acc6 · outbound

This paper cites Using multi-physics system simulation to predict battery pack thermal performance and risk of Thermal runaway during eVTOL aircraft operations,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Using multi-physics system simulation to predict battery pack thermal performance and risk of Thermal runaway during eVTOL aircraft operations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.767905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d370edc-37e2-4f6f-af90-ec964efdc44b · outbound

This paper cites Simultaneous optimization of conceptual design and takeoff trajectory of a lift-plus-cruise UAV,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Simultaneous optimization of conceptual design and takeoff trajectory of a lift-plus-cruise UAV,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.749572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0cbe4981-ccb6-4f47-93b8-1fe383a09ed4 · outbound

This paper cites Surrogate-based methods,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Surrogate-based methods,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.731000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b06140cc-249a-4317-b659-79bf7aeddc82 · outbound

This paper cites an unresolved cited work.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.332026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b20ea3-4f66-4648-97fb-3493710cdcea · outbound

This paper cites A new polynomial-time algorithm for linear programming,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design A new polynomial-time algorithm for linear programming,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.336943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926af46b-9a09-49d3-a3a3-4aeee298a83a · outbound

This paper cites SNOPT: An SQP algorithm for large-scale constrained optimization,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design SNOPT: An SQP algorithm for large-scale constrained optimization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.341963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 956ccdeb-7feb-42ae-8dd6-744688f36443 · outbound

This paper cites Machine learning in aerodynamic shape optimization,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Machine learning in aerodynamic shape optimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.711825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b40ffa42-8d0e-4889-b0ae-519d978e7d0a · outbound

This paper cites Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.352161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ece6263-00fb-452e-a6d1-5158be4329a8 · outbound

This paper cites Rapid airfoil design optimization via neural networks-based parameterization and surrogate modeling,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Rapid airfoil design optimization via neural networks-based parameterization and surrogate modeling,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.693296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa7c7bea-0620-49ba-bb7e-ef9e740c2eaf · outbound

This paper cites B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.362507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 700e3548-325d-438b-ba9a-8e912e5f313e · outbound

This paper cites Transfer-Learning-Enhanced Regression Generative Adversarial Networks for Optimal eVTOL Takeoff Trajectory Prediction,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Transfer-Learning-Enhanced Regression Generative Adversarial Networks for Optimal eVTOL Takeoff Trajectory Prediction,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.367443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c268393-0fe2-4f94-806c-e0401cea9f74 · outbound

This paper cites Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.661361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ebcea7bd-222f-45c4-8239-23322f7a2a34 · outbound

This paper cites Physics-informed generative adversarial networks for stochastic differential equations,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Physics-informed generative adversarial networks for stochastic differential equations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.642974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3947b555-ea51-4860-b5ec-3bae2a05b1ed · outbound

This paper cites Physics-guided generative adversarial network for probabilistic structural system identification,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Physics-guided generative adversarial network for probabilistic structural system identification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.612183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ba4cb33-f678-4311-8f9e-29ae6f1dd618 · outbound

This paper cites Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:55:48.511898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ce69744-96c1-416c-a0fb-53d86859501c · outbound

This paper cites Efficient generation of structured objects with constrained adversarial networks,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Efficient generation of structured objects with constrained adversarial networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.595724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32438334-4fba-4f5c-8b4c-58520a85de6f · outbound

This paper cites Surrogate-Based Multidisciplinary Optimization for the Takeoff Trajectory Design of Electric Drones,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Surrogate-Based Multidisciplinary Optimization for the Takeoff Trajectory Design of Electric Drones,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.577179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64ad52a4-b148-41dd-b269-60652a1bac14 · outbound

This paper cites Long short-term memory,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Long short-term memory,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.561250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2b8fdd8-f84a-41ef-ba88-79440f65cbac · outbound

This paper cites An efficient method for finding the minimum of a function of several variables without calculating derivatives,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design An efficient method for finding the minimum of a function of several variables without calculating derivatives,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.545545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88de4bf7-7028-44bb-844d-e2196adf5b4c · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.411226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.