Paper Citation Record · LEDGER

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

As of 11 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 4 inbound Pith citation observations for arXiv:2412.20023.

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

pith.paper-citation-record.v1
2412.20023 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:46:11.956444Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:03:58.908563Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

64 of 64 outbound references displayed

verified exact9
verified fuzzy19
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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a56acd20-7994-49ae-82db-86ef798d7c73 · outbound

This paper cites Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms,

Reference 1

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Observation 37d26202-6948-447d-8aae-6041dc706a04 · outbound

This paper cites Global Optimization on Funneling Landscapes,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Global Optimization on Funneling Landscapes,

Reference 2

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Observation 98de8d0e-2c62-4b9a-8764-62f1a1a1863b · outbound

This paper cites Exploring Energy Landscapes,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Exploring Energy Landscapes,

Reference 3

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This paper cites https://doi.org/10.1137/1.9781611972672, URL https://epubs.siam.org/doi/abs/10.1137/1.9781611972672.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models https://doi.org/10.1137/1.9781611972672, URL https://epubs.siam.org/doi/abs/10.1137/1.9781611972672

Reference 4

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Observation 1a9280d4-a583-4ff9-9a1e-9217f7d8a8f8 · outbound

This paper cites Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm,

Reference 5

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Observation 76dddd94-a9d1-499c-8228-71503308faad · outbound

This paper cites Near-optimal low-thrust orbit transfers generated by a genetic algorithm,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Near-optimal low-thrust orbit transfers generated by a genetic algorithm,

Reference 6

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Observation fffa9541-ee37-4812-b200-eaa7bb5a0a09 · outbound

This paper cites Primer Vector Theory Applied to Global Low-Thrust Trade Studies,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Primer Vector Theory Applied to Global Low-Thrust Trade Studies,

Reference 7

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Observation 62968412-e3ec-4f07-bc25-f96e4fa4e991 · outbound

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Unresolved cited work

Reference 8

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Observation aedcfb8a-475c-4da8-bdff-639b54279359 · outbound

This paper cites Global search for low-thrust transfers to the Moon in the planar circular restricted three-body problem,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Global search for low-thrust transfers to the Moon in the planar circular restricted three-body problem,

Reference 9

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Observation 222bd714-03e2-4205-b944-3cdcaba639cc · outbound

This paper cites Advanced Global Optimisation Tools for Mission Analysis and Design,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Advanced Global Optimisation Tools for Mission Analysis and Design,

Reference 10

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Observation 9d1aa63d-8d54-40e3-ac13-6cb2854ecb18 · outbound

This paper cites Advanced Global Optimisation Tools for Mission Analysis and Design,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Advanced Global Optimisation Tools for Mission Analysis and Design,

Reference 11

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Observation d83259d9-6a86-45d9-ac51-768e7648aa1c · outbound

This paper cites Preliminary Design of Multiple Gravity-Assist Trajectories,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Preliminary Design of Multiple Gravity-Assist Trajectories,

Reference 12

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Observation 07a3f992-bf6c-4867-b37f-2207ab7ee30c · outbound

This paper cites Analysis of Some Global Optimization Algorithms for Space Trajectory Design,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Analysis of Some Global Optimization Algorithms for Space Trajectory Design,

Reference 13

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Observation 369e7fbd-47a6-423e-8eb7-3dd62ccfc85d · outbound

This paper cites Genetic algorithms, path relinking, and the ﬂowshop sequencing problem,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Genetic algorithms, path relinking, and the ﬂowshop sequencing problem,

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T23:46:12.313930Z

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Observation 5786f461-c7e1-41aa-ae67-30552c82794c · outbound

This paper cites A global optimization method for the design of space trajectories,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models A global optimization method for the design of space trajectories,

Reference 15

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Observation c63d0436-db25-48f6-aa58-c014e72b6446 · outbound

This paper cites Global Trajectory Optimisation Problems Database,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Global Trajectory Optimisation Problems Database,

Reference 16

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Observation db9857bd-3f8b-4962-b90c-00af048fb77a · outbound

This paper cites T uning Monotonic Basin Hopping: Improving the Eﬃciency of Stochastic Search as Applied to Low-Thrust Trajectory Optimization,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models T uning Monotonic Basin Hopping: Improving the Eﬃciency of Stochastic Search as Applied to Low-Thrust Trajectory Optimization,

Reference 17

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Observation 511c361f-7cd5-4509-926b-fc3909ccaf5e · outbound

This paper cites Preliminary Design of Low-Thrust Interplanetary Missions,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Preliminary Design of Low-Thrust Interplanetary Missions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:46:12.959204Z

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Observation fb546879-f319-40ef-8225-2f3635758fb3 · outbound

This paper cites Walking the Filament of Feasibility,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Walking the Filament of Feasibility,

Reference 19

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Observation b0834c93-47ec-4f4e-b4ec-92ebda06478b · outbound

This paper cites Hopping with an Adaptive Hop Probability Distribution,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Hopping with an Adaptive Hop Probability Distribution,

Reference 20

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Observation 84809b0a-6d13-40d3-a3e5-d5a549908785 · outbound

This paper cites Machine Learning Techniques for Approximation of Objective Functions in Trajectory Optimisation,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Machine Learning Techniques for Approximation of Objective Functions in Trajectory Optimisation,

Reference 21

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This paper cites Machine learning for global optimization,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Machine learning for global optimization,

Reference 22

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This paper cites Fast Evaluation of Low-Thrust Transfers via Multilayer Perceptions,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Fast Evaluation of Low-Thrust Transfers via Multilayer Perceptions,

Reference 23

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This paper cites Global Optimization Requires Global Information,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Global Optimization Requires Global Information,

Reference 24

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Observation 65b80c00-0578-41c9-8910-c5466103256b · outbound

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Unresolved cited work

Reference 25

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Observation c292822f-8beb-4f0c-b50e-006018146c05 · outbound

This paper cites E., and Ho, Y .-C., Applied Optimal Control: Optimization, Estimation, and Control , Hemisphere Publication Corporation, 1975.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models E., and Ho, Y .-C., Applied Optimal Control: Optimization, Estimation, and Control , Hemisphere Publication Corporation, 1975

Reference 26

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This paper cites https://doi.org/10.2307/j.ctvcm4g0s, URL https://press.princeton.edu/books/hardcover/9780691151878/calculus-of-variations- and-optimal-control-theory.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models https://doi.org/10.2307/j.ctvcm4g0s, URL https://press.princeton.edu/books/hardcover/9780691151878/calculus-of-variations- and-optimal-control-theory

Reference 27

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Observation ccdecb6e-ac1f-4c6e-8b78-93ee0905b9fb · outbound

This paper cites Direct Trajectory Optimization Using Nonlinear Programming and Collocation,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Direct Trajectory Optimization Using Nonlinear Programming and Collocation,

Reference 29

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This paper cites Discrete Approximation to Optimal Trajectories Using Direct Transcription and Nonlinear Programming,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Discrete Approximation to Optimal Trajectories Using Direct Transcription and Nonlinear Programming,

Reference 30

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Survey of Numerical Methods for Trajectory Optimization,

Reference 31

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Legendre pseudospectral approximations of optimal control problems,

Reference 32

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This paper cites T., Practical Methods for Optimal Control and Estimation Using Nonlinear Programming, Second Edition ,2 nd ed., Society for Industrial and Applied Mathematics, 2010.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models T., Practical Methods for Optimal Control and Estimation Using Nonlinear Programming, Second Edition ,2 nd ed., Society for Industrial and Applied Mathematics, 2010

Reference 33

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models A., and Paris, S

Reference 34

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This paper cites Minima of Functions of Several Variables with Inequalities as Side Constraints,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Minima of Functions of Several Variables with Inequalities as Side Constraints,

Reference 35

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models L., Sullivan, F

Reference 36

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models A global optimization algorithm,

Reference 37

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This paper cites Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization,

Reference 38

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Stochastic global optimization methods part I: Clustering methods,

Reference 39

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Stochastic global optimization methods part II: Multi level methods,

Reference 40

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Simple linkage: Analysis of a threshold-accepting global optimization method,

Reference 41

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Random Linkage: a family of acceptance/rejection algorithms for global optimisation,

Reference 42

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Test functions for optimization needs,

Reference 43

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Observation 12522b9b-3af5-4dd2-b693-2c1bf49d3ce1 · outbound

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Test Functions for Multimodal Search Techniques,

Reference 44

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This paper cites Dynamically Leveraged Automated Multibody (N) Trajectory Optimization,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Dynamically Leveraged Automated Multibody (N) Trajectory Optimization,

Reference 45

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Observation a1c883f4-4b09-43a4-b663-cf9d60781057 · outbound

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization,

Reference 46

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Matplotlib: A 2D graphics environment,

Reference 47

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models

Reference 48

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Generative Adversarial Networks

Reference 49

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 50

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 51

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Observation 92378b6b-7ff5-4143-8776-0a62028f99e6 · outbound

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Denoising Diffusion Probabilistic Models

Reference 52

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This paper cites Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models

Reference 53

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This paper cites Semi-Supervised Global Search Capabilities for Optimal Low Thrust Spacecraft Trajectories over an Indirect Approach,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Semi-Supervised Global Search Capabilities for Optimal Low Thrust Spacecraft Trajectories over an Indirect Approach,

Reference 54

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This paper cites DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization

Reference 55

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This paper cites Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Reference 56

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This paper cites SCALE method for single-cell ATAC-seq analysis via latent feature extraction,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models SCALE method for single-cell ATAC-seq analysis via latent feature extraction,

Reference 57

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Learning Structured Output Representation using Deep Conditional Generative Models,

Reference 58

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This paper cites An Introduction to Variational Autoencoders,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models An Introduction to Variational Autoencoders,

Reference 59

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This paper cites Long Short-Term Memory,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Long Short-Term Memory,

Reference 60

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This paper cites Framewise phoneme classiﬁcation with bidirectional LSTM and other neural network architectures,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Framewise phoneme classiﬁcation with bidirectional LSTM and other neural network architectures,

Reference 61

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This paper cites Automatic diﬀerentiation in PyTorch,.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Automatic diﬀerentiation in PyTorch,

Reference 62

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This paper cites Adam: A Method for Stochastic Optimization.

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Adam: A Method for Stochastic Optimization

Reference 63

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Unresolved cited work

Reference 2014

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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Unresolved cited work

Reference 2017

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Pith citing papers

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Initial Guess Generation for Low-Thrust Trajectory Design with Robustness to Missed-Thrust-Events cites this paper.

Initial Guess Generation for Low-Thrust Trajectory Design with Robustness to Missed-Thrust-Events Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Reference 36

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Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo cites this paper.

Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Reference 3

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GLENS: Global Search via Learning from Solver Iterates with Diffusion Models cites this paper.

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Reference 15

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Observation 7404a5a1-b165-43a1-8b74-b1d5f1d0bbce · inbound

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates cites this paper.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Reference 2

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