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Paper Citation Record · LEDGER

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.02521.

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

pith.paper-citation-record.v1
2412.02521 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:28:13.603719Z

measured 41 of 41 standing notices

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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.

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measured 0 of 1 external citation measurements

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Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation 2907694e-5db7-44d8-94d5-c5f91da65b7c · outbound

This paper cites Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning,

Reference 1

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Observation 39b2e384-4bfa-48b2-92d1-0264dffbc012 · outbound

This paper cites Modeling Space System Architectures with Graph Theory,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Modeling Space System Architectures with Graph Theory,

Reference 2

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Observation f2a50356-1d98-41f3-8574-0f8cca82b98a · outbound

This paper cites Generalized Multicommodity Network Flow Model for the Earth–Moon–Mars Logistics System,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Generalized Multicommodity Network Flow Model for the Earth–Moon–Mars Logistics System,

Reference 3

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Observation 9ed23183-3a6c-4314-af79-de69e32f3b8e · outbound

This paper cites Dynamic modeling and optimization for space logistics using time -expanded networks,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Dynamic modeling and optimization for space logistics using time -expanded networks,

Reference 4

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Observation 5bfe5228-a53d-4ab3-a075-84b4de1f18f8 · outbound

This paper cites Multi -objective optimisation and decision -making of space station logistics strategies,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Multi -objective optimisation and decision -making of space station logistics strategies,

Reference 5

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Observation d1358953-5542-4eb6-92be-4b670afbe9b1 · outbound

This paper cites Optimization of In - Space Supply Chain Design Using High-Thrust and Low-Thrust Propulsion Technologies,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Optimization of In - Space Supply Chain Design Using High-Thrust and Low-Thrust Propulsion Technologies,

Reference 6

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Observation db15e153-64b3-47e6-bfeb-16ed39039779 · outbound

This paper cites Integrated Space Logistics Mission Planning and Spacecraft Design with Mixed-Integer Nonlinear Programming,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Integrated Space Logistics Mission Planning and Spacecraft Design with Mixed-Integer Nonlinear Programming,

Reference 7

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Observation 7f4528c0-951b-4f3b-9d84-918aaab3e033 · outbound

This paper cites Event -Driven Network Model for Space Mission Optimization with High -Thrust and Low -Thrust Spacecraft,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Event -Driven Network Model for Space Mission Optimization with High -Thrust and Low -Thrust Spacecraft,

Reference 8

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Observation 2370acc7-0814-4907-bbe3-450eb30257c8 · outbound

This paper cites Satellite Constellation Pattern Optimization for Complex Regional Coverage,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Satellite Constellation Pattern Optimization for Complex Regional Coverage,

Reference 9

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Observation 262aab91-4191-475f-aa15-51abbbbc6841 · outbound

This paper cites Framework for Modeling and Optimization of On -Orbit Servicing Operations Under Demand Uncertainties,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Framework for Modeling and Optimization of On -Orbit Servicing Operations Under Demand Uncertainties,

Reference 10

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Observation cb5057bc-e556-4baf-8e5e-434c98bdc25c · outbound

This paper cites Optimization and Modeli ng of Active Debris Removal using a Time -Expanded Network,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Optimization and Modeli ng of Active Debris Removal using a Time -Expanded Network,

Reference 11

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correction dated 2025-11-17. Source: crossref record 10.2514/6.2022-4245.c1->10.2514/6.2022-4245:correction, observed 2026-07-11T03:01:56.681927+00:00. This notice travels one citation hop only.

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Observation a582371e-a90f-499a-bd7e-7bd9dc6dd5f2 · outbound

This paper cites Orbital Facility Location Problem for Satellite Constellation Servicing Depots,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Orbital Facility Location Problem for Satellite Constellation Servicing Depots,

Reference 12

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Observation a990591f-1d09-48b7-8ca5-598d4a785973 · outbound

This paper cites Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design,

Reference 13

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Observation 01e90e43-81c3-40ff-b08f-86c229f4709c · outbound

This paper cites Integrated transportation system design optimization,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Integrated transportation system design optimization,

Reference 14

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Observation 0144b1e9-0358-4ef5-8a35-f8fe02430b39 · outbound

This paper cites Hierarchical Framework for Space Exploration Campaign Schedule Optimization,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Hierarchical Framework for Space Exploration Campaign Schedule Optimization,

Reference 15

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Observation 697062a5-72ee-4ac6-bf18-4d6f92f23df4 · outbound

This paper cites The Decomposition Algorithm for Linear Programs,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method The Decomposition Algorithm for Linear Programs,

Reference 16

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Observation a8136f80-5f9a-4c43-8748-30f3b5baea7c · outbound

This paper cites Desaulniers, J.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Desaulniers, J

Reference 17

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Observation a3e3c0ee-bf91-4a00-810b-bc72b5159316 · outbound

This paper cites A Column Generation Approach to the Multiple-Depot Vehicle Scheduling Problem,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method A Column Generation Approach to the Multiple-Depot Vehicle Scheduling Problem,

Reference 18

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Observation 6eaa13f2-2e64-4d5b-b1a2-3927c6579fcf · outbound

This paper cites D aily Aircraft Routing and Scheduling,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method D aily Aircraft Routing and Scheduling,

Reference 19

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Observation 26d74b90-472a-4158-b3c4-dc4501e4df15 · outbound

This paper cites A Technical Review of Column Generation in Integer Programming,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method A Technical Review of Column Generation in Integer Programming,

Reference 20

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Observation 0185647a-3ffd-4861-a5da-44828ad30641 · outbound

This paper cites Algorithms for two -dimensional cutting stock and strip packing problems using dynamic programming and column generation,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Algorithms for two -dimensional cutting stock and strip packing problems using dynamic programming and column generation,

Reference 21

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Observation 72bded1e-7903-414c-be43-327116579cac · outbound

This paper cites A Column Generation Algorithm for a Rich Vehicle -Routing Problem,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method A Column Generation Algorithm for a Rich Vehicle -Routing Problem,

Reference 22

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Observation 50cbba54-7030-4d32-81b0-9b8782652eea · outbound

This paper cites NASA’s Strategic A nalysis Cycle 2021 (SAC21) Human Mars Architecture,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method NASA’s Strategic A nalysis Cycle 2021 (SAC21) Human Mars Architecture,

Reference 23

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Observation d6d45164-8814-4b4e-932a-855c7e3712f2 · outbound

This paper cites Analysis of Propellant Tank Masses.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Analysis of Propellant Tank Masses

Reference 24

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Observation 6a3fc4cd-143e-4e4e-97f5-4a2fe3b5a4f7 · outbound

This paper cites Sensitivity Analysis of Heat Rejection and Propellant Management Technologies for Nuclear Thermal Propulsion Architectures.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Sensitivity Analysis of Heat Rejection and Propellant Management Technologies for Nuclear Thermal Propulsion Architectures

Reference 25

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Observation c5d5d041-d511-4f2d-a876-8e4723e3029d · outbound

This paper cites Multidisciplinary Design Optimization Approach to Integrated Space Mission Pl anning and Spacecraft Design,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Multidisciplinary Design Optimization Approach to Integrated Space Mission Pl anning and Spacecraft Design,

Reference 26

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Observation eff8e358-ecc0-4f13-a254-c2660a2ab2da · outbound

This paper cites NASA Launch Vehicle Performance Website.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method NASA Launch Vehicle Performance Website

Reference 27

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Observation 7862ba32-9f14-47d0-bdb2-87ce9cdb54a6 · outbound

This paper cites NASA’s Space Launch System: Capabilities for Ultra -High C3 Missions,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method NASA’s Space Launch System: Capabilities for Ultra -High C3 Missions,

Reference 28

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Observation 53a8ff07-a6d6-4be1-8020-eab0fc2fddc0 · outbound

This paper cites Propulsion Alternatives for Mars Transportation Architectures,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Propulsion Alternatives for Mars Transportation Architectures,

Reference 29

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Observation c7b0abc8-4bb8-4ce3-8417-53b31a9126d4 · outbound

This paper cites Global Exploration Roadmap (GER) Supplement August 2020: Lunar Surface Exploration Scenar io Update,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Global Exploration Roadmap (GER) Supplement August 2020: Lunar Surface Exploration Scenar io Update,

Reference 30

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Observation f2a4d665-484f-448c-a527-b3bfbbfd5343 · outbound

This paper cites Global Exploration Roadmap Derived Concept for Human Exploration of the Moon,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Global Exploration Roadmap Derived Concept for Human Exploration of the Moon,

Reference 31

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Observation e3f32656-b2ab-4fbc-b0a1-95115d5f6d07 · outbound

This paper cites The 2022 Updated Lunar Exploration Scenario for the Global Exploration Roadmap (GER): The Growing Global Effort and Momentum Going Forward to the Moon and Mars,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method The 2022 Updated Lunar Exploration Scenario for the Global Exploration Roadmap (GER): The Growing Global Effort and Momentum Going Forward to the Moon and Mars,

Reference 32

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

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Observation f4627daf-838f-45e7-b70b-de4f14a76fbd · outbound

This paper cites Optimization of Multi - Mission Space Exploration Campaign Schedules Subject to Stochastic Launch De lay,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Optimization of Multi - Mission Space Exploration Campaign Schedules Subject to Stochastic Launch De lay,

Reference 33

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

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Observation f861af71-1bc4-41ff-9976-55522c7dda11 · outbound

This paper cites A Spaceflight Logistics Approach to Modeling Novel Vehicle Concepts,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method A Spaceflight Logistics Approach to Modeling Novel Vehicle Concepts,

Reference 34

Resolution
verified exact
doi, observed 2026-08-11T23:28:13.655722Z

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.

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Observation fc6cc309-b4b2-447f-90bb-afae74d4c8bb · outbound

This paper cites Pathways to Sustainability in Lunar Exploration Architectures,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Pathways to Sustainability in Lunar Exploration Architectures,

Reference 35

Resolution
verified exact
doi, observed 2026-08-11T23:28:13.639950Z

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.

source=pdf_text observed=2026-08-11T23:28:13.581696Z digest=sha256:8096bafece7b21c498e38b0a87a4ed57fbd04bc04a5ef2dfef0302b05456b83d

Observation b346ddc4-959e-46ae-9903-22fb948ce98b · outbound

This paper cites Griffin Lunar Test Model Complete,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Griffin Lunar Test Model Complete,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:28:14.238687Z

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.

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Observation 79078d7d-4adb-4021-a2f3-aae1274d6b89 · outbound

This paper cites Astrobotic Griffin Lunar Lander Structural Test Model (STM) undergoes Vibration and Direct Field Acoustic Testing,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Astrobotic Griffin Lunar Lander Structural Test Model (STM) undergoes Vibration and Direct Field Acoustic Testing,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:28:14.223816Z

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.

source=pdf_text observed=2026-08-11T23:28:13.590290Z digest=sha256:8a99f1ae79907a1c8d7a492b69a59e86e2dbf4c73ebbed39605b62cbebf20068

Observation 3bab188d-c9f3-47a4-9186-4a515bd39ef0 · outbound

This paper cites Blue Moon,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Blue Moon,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:28:14.208322Z

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.

source=pdf_text observed=2026-08-11T23:28:13.594764Z digest=sha256:1bedc8dc93cbcee08f662d81496f6abeccc1b5679cef8a372f84dea1ffb4331a

Observation 9d0d87e4-0883-4dcc-9fae-fd8052104550 · outbound

This paper cites ispace Unveils Mission 3 Lander Design, Set to Launch in 2024.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method ispace Unveils Mission 3 Lander Design, Set to Launch in 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:28:14.193798Z

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.

source=pdf_text observed=2026-08-11T23:28:13.599172Z digest=sha256:b478d64c585047f53e366158db7948edada99fd5b15c5386ab9393279e30380a

Observation 87432973-8860-4b07-8e0e-d2690f96d496 · outbound

This paper cites European Access to the Lunar Surface: EL3,.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method European Access to the Lunar Surface: EL3,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:28:14.179149Z

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.

source=pdf_text observed=2026-08-11T23:28:13.603719Z digest=sha256:740025c4478568f553c10bb5d04b9e2b236047a5ad809cf3ab6f9cd81e27b6a4

Observation b73f7c93-f27b-4091-b17d-43fcce75d571 · outbound

This paper cites an unresolved cited work.

Optimisation of Categorical Choices in Exploration Mission Concepts of Operations Using Column Generation Method Unresolved cited work

Reference 2006

Resolution
verified exact
doi, observed 2026-08-11T23:28:13.922708Z

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.

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Pith citing papers

No inbound Pith citation observations are available.