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Paper Citation Record · LEDGER

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2411.11778.

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

pith.paper-citation-record.v1
2411.11778 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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measured 52 of 52 standing notices

One-hop event checks from named stored sources.

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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

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 8d3fce98-56f7-4c8e-ab72-5fb6a003e7d7 · outbound

This paper cites Evolving Solutions to TSP Variants for Ac- tive Space Debris Removal: Genetic and Evo- lutionary Computation Conference (GECCO),.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Evolving Solutions to TSP Variants for Ac- tive Space Debris Removal: Genetic and Evo- lutionary Computation Conference (GECCO),

Reference 1

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Observation 170e92af-0719-4545-8e4e-bb6b359e8b91 · outbound

This paper cites Evo- lutionary Optimization of Multirendezvous Im- pulsive Trajectories,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Evo- lutionary Optimization of Multirendezvous Im- pulsive Trajectories,

Reference 3

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Observation 21e92e16-3aa9-4139-a9df-8b728c809d11 · outbound

This paper cites Trajectory optimization for multi-target Active Debris Removal missions,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Trajectory optimization for multi-target Active Debris Removal missions,

Reference 4

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Observation ba6249e4-86cc-4470-a5b3-b27e083ed60d · outbound

This paper cites Large- scale object selection and trajectory planning for multi-target space debris removal missions,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Large- scale object selection and trajectory planning for multi-target space debris removal missions,

Reference 5

Resolution
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Observation e7b2f6c3-8c23-438e-af76-43e4d09f5c01 · outbound

This paper cites Low-thrust rendezvous trajectory generation for multi-target active space debris removal using the RQ-Law,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Low-thrust rendezvous trajectory generation for multi-target active space debris removal using the RQ-Law,

Reference 6

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Observation 26a970bc-0bda-494e-bc87-1ba3784ff106 · outbound

This paper cites Review of Ac- tive Space Debris Removal Methods,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Review of Ac- tive Space Debris Removal Methods,

Reference 7

Resolution
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Observation 1ccc8aa4-e8ec-4abc-86f1-93c1649d14ca · outbound

This paper cites Active debris removal: Recent progress and cur- rent trends,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Active debris removal: Recent progress and cur- rent trends,

Reference 8

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Observation 33e2384a-6e2a-4ca2-8ff2-85276e8a13dc · outbound

This paper cites On-Orbit Servicing Missions: Challenges and Solutions for Space- craft Operations,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization On-Orbit Servicing Missions: Challenges and Solutions for Space- craft Operations,

Reference 9

Resolution
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Observation 9f0996c6-f9f0-4316-98f4-5a7a386a27ad · outbound

This paper cites Multi- orbit routing and scheduling of refuellable on- orbit servicing space robots,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Multi- orbit routing and scheduling of refuellable on- orbit servicing space robots,

Reference 11

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Observation 3d4abd69-55c8-4728-bd35-89b0f7f4799a · outbound

This paper cites A Survey on Low-Thrust Trajectory Optimization Approaches,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization A Survey on Low-Thrust Trajectory Optimization Approaches,

Reference 12

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Observation 55f05128-02e9-48f3-9463-9f0efcfed385 · outbound

This paper cites Petropouloset al., GTOC9: Methods and Re- sults from the Jet Propulsion Laboratory Team , May 2017.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Petropouloset al., GTOC9: Methods and Re- sults from the Jet Propulsion Laboratory Team , May 2017

Reference 13

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Observation 718f4347-56fb-40ec-a81a-8a539e336588 · outbound

This paper cites GTOC 11: Results found at Beijing Institute of Technology and China Academy of Space Technology,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization GTOC 11: Results found at Beijing Institute of Technology and China Academy of Space Technology,

Reference 14

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Source-reported events for the cited work

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Observation f2a539ee-a0fc-4cca-90fd-da9d14d05ad2 · outbound

This paper cites Deep networks as approximators of optimal low-thrust and multi-impulse cost in multitarget missions,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Deep networks as approximators of optimal low-thrust and multi-impulse cost in multitarget missions,

Reference 15

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Observation 76dd1d52-3cf1-4fbb-85a9-aa26e2e7964a · outbound

This paper cites How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

Reference 16

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Observation 1a0e7100-b66c-4f06-be46-95119a0dcf23 · outbound

This paper cites GTOC 9, Multiple Space Debris Rendezvous Trajectory Design in the J2 environment,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization GTOC 9, Multiple Space Debris Rendezvous Trajectory Design in the J2 environment,

Reference 17

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Observation cfaef8a9-fc50-4a3e-9ee4-6c12d1569622 · outbound

This paper cites A parallel global multi- objective framework for optimization: Pagmo,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization A parallel global multi- objective framework for optimization: Pagmo,

Reference 18

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Observation 8500ed22-fe1b-446a-ae72-cb29500ebb30 · outbound

This paper cites Pymoo: Multi-Objective Optimization in Python,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Pymoo: Multi-Objective Optimization in Python,

Reference 19

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Observation 98fc51a2-4663-4087-99fe-8ce38c543727 · outbound

This paper cites Solving non-convex optimal con- trol problems by convex optimization,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Solving non-convex optimal con- trol problems by convex optimization,

Reference 20

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Observation ac5941d8-52be-4597-8f6f-d8132d5eb598 · outbound

This paper cites Ecos: An socp solver for embedded systems,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Ecos: An socp solver for embedded systems,

Reference 21

Resolution
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Observation 61d1c37d-ee38-4bdc-b5fd-1052bd632324 · outbound

This paper cites Optimal guid- ance and control with nonlinear dynamics us- ing sequential convex programming,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Optimal guid- ance and control with nonlinear dynamics us- ing sequential convex programming,

Reference 22

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Source-reported events for the cited work

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Observation f08de29d-3b32-4a54-a865-a4df40a85bb5 · outbound

This paper cites Sequential convex program- ming for optimal line of sight steering in agile missions,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Sequential convex program- ming for optimal line of sight steering in agile missions,

Reference 23

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Source-reported events for the cited work

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Observation 8aa9a230-2415-4797-a6f9-0ba33eb522b5 · outbound

This paper cites Rapid low-thrust trajectory optimization in deep space based on convex programming,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Rapid low-thrust trajectory optimization in deep space based on convex programming,

Reference 24

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Unresolved cited work

Reference 25

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Unresolved cited work

Reference 26

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Observation 46a3cf42-97b9-43c0-9259-d7e82024c01b · outbound

This paper cites Survey of Orbit Element Sets,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Survey of Orbit Element Sets,

Reference 27

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Observation 650e84d2-d59c-4574-a620-2ae52bd76d43 · outbound

This paper cites Chapter 2 - Fundamen- tal Astrodynamics,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Chapter 2 - Fundamen- tal Astrodynamics,

Reference 28

Resolution
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Source-reported events for the cited work

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This paper cites 2015,isbn: 978-94-6186-419-.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization 2015,isbn: 978-94-6186-419-

Reference 29

Resolution
verified fuzzy
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Observation 43a2302c-0f97-4381-985c-3abcd4a984a4 · outbound

This paper cites Sampling Permutations for Shapley Value Esti- mation,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Sampling Permutations for Shapley Value Esti- mation,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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This paper cites Fisher-Yates shuffle,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Fisher-Yates shuffle,

Reference 31

Resolution
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Source-reported events for the cited work

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Available: https : / / repository

Reference 32

Resolution
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Source-reported events for the cited work

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Observation b270e6f9-dca4-468c-aabf-a5e9ca92539c · outbound

This paper cites Non-Null Ranking Models. I,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Non-Null Ranking Models. I,

Reference 33

Resolution
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Source-reported events for the cited work

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Observation 7a4c7c41-94d0-4ef5-aa22-7a6b2d4af7e8 · outbound

This paper cites Sampling and learning distance- based probability models for permutation spaces,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Sampling and learning distance- based probability models for permutation spaces,

Reference 34

Resolution
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Source-reported events for the cited work

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Observation ea86f1dd-e5b6-4182-acef-6063775aaa17 · outbound

This paper cites Group Representations in Proba- bility and Statistics,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Group Representations in Proba- bility and Statistics,

Reference 35

Resolution
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Unavailable: canonical work link unavailable.

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Observation 804d56f2-1eb8-4324-a4cc-157d46e1a29d · outbound

This paper cites Novel Random Key Encoding Schemes for the Dif- ferential Evolution of Permutation Problems,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Novel Random Key Encoding Schemes for the Dif- ferential Evolution of Permutation Problems,

Reference 36

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Observation 0ee4d12b-8ee9-470c-86c5-7e454bd33f92 · outbound

This paper cites Biased random-key genetic algorithms: A review,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Biased random-key genetic algorithms: A review,

Reference 37

Resolution
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Observation 35cefc49-bc9c-4f88-93f1-c9ebb00655d4 · outbound

This paper cites The open-source astrodynamics Tudatpy software - overview for planetary mis- sion design and science analysis,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization The open-source astrodynamics Tudatpy software - overview for planetary mis- sion design and science analysis,

Reference 38

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e8e19195-db98-4dc9-80c4-fe158e899637 · outbound

This paper cites Genetic Algorithms and Random Keys for Sequencing and Optimization,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Genetic Algorithms and Random Keys for Sequencing and Optimization,

Reference 39

Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee15de8b-ceb2-4120-a7b8-5da412be2f87 · outbound

This paper cites Inter- planetary transfers via deep representations of the optimal policy and/or of the value func- tion,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Inter- planetary transfers via deep representations of the optimal policy and/or of the value func- tion,

Reference 40

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Unavailable: canonical work link unavailable.

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Observation 88b25c24-2535-4cd6-9a8d-531a080178c0 · outbound

This paper cites RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4da60d61-7950-4718-8c1b-2eaf69cae001 · outbound

This paper cites Atten- tion, Learn to Solve Routing Problems!.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Atten- tion, Learn to Solve Routing Problems!

Reference 42

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Observation ab64cc5b-a742-4f84-8ac1-d6e986380385 · outbound

This paper cites A survey on artificial intelligence trends in spacecraft guid- ance dynamics and control,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization A survey on artificial intelligence trends in spacecraft guid- ance dynamics and control,

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7bb2a7e1-90c3-4a0c-94c7-236854f72c38 · outbound

This paper cites Actor-Critic Algorithms,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Actor-Critic Algorithms,

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 68f71c4d-2e5c-4d02-90fd-9d64c7443265 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Asynchronous Methods for Deep Reinforcement Learning

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61156fb9-161e-4ae7-8e82-619eb6969955 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Proximal Policy Optimization Algorithms

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2971d63-dcba-4cd6-9ad2-56faeadf5fdc · outbound

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Unresolved cited work

Reference 47

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fdf7263d-975b-4c34-bc3d-4daf97aba79d · outbound

This paper cites Simple statistical gradient- following algorithms for connectionist reinforce- ment learning,.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Simple statistical gradient- following algorithms for connectionist reinforce- ment learning,

Reference 48

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Unavailable: canonical work link unavailable.

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Observation b58ff984-7426-402f-b58a-13eb70533bda · outbound

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Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Unresolved cited work

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c6ee12f-e5d4-4548-8074-f5a17d3ca8d2 · outbound

This paper cites [On- line].

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization [On- line]

Reference 98

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4e17e14c-8493-4574-8faf-8fb7539b4dcd · outbound

This paper cites Available: https : / / dialnet.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Available: https : / / dialnet

Reference 2014

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ccf943c8-3670-4cb5-a5d4-8427f9b1c89f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1acff9d1-d708-419c-ac9c-2c068745957d · outbound

This paper cites an unresolved cited work.

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization Unresolved cited work

Reference 2021

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f5862361-e324-47ca-b507-0fab805e6116 · outbound

This paper cites [Online].

Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization [Online]

Reference 4650

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.