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Paper Citation Record · LEDGER

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance

As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2501.00930.

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

pith.paper-citation-record.v1
2501.00930 v1

Coverage vector

measured 62 of 62 reference resolution

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measured 62 of 62 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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation e78ac97f-1e2d-4c4c-9b2e-9d2a275baf7b · outbound

This paper cites A survey of attitude representations,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A survey of attitude representations,

Reference 1

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Observation bedb7d81-94f2-43e3-b1cd-8c6a1f003a2b · outbound

This paper cites Successive Convexification for Real-Time Six-Degree-of-Freedom Powered Descent Guidance with State-Triggered Constraints,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Successive Convexification for Real-Time Six-Degree-of-Freedom Powered Descent Guidance with State-Triggered Constraints,

Reference 2

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Source-reported events for the cited work

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Observation 8bc738c5-9700-40bb-8708-cca450cd2594 · outbound

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

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A survey on artificial intelligence trends in spacecraft guidance dynamics and control,

Reference 3

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Observation 21bd813b-e57d-4704-92b4-260678b641d7 · outbound

This paper cites Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous,

Reference 4

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 82dc0d2b-5c34-4324-a030-cde2424ec078 · outbound

This paper cites Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction,

Reference 5

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Source-reported events for the cited work

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Observation d6f83d67-b1c9-4412-8e69-27b75b8bfaf9 · outbound

This paper cites A Versatile Powered Guidance Algorithm,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A Versatile Powered Guidance Algorithm,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5bfdd0ff-5b12-4962-90f3-656de33e8d66 · outbound

This paper cites Propellant-Optimal Powered Descent Guidance,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Propellant-Optimal Powered Descent Guidance,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 051b9ad3-5b89-4c4c-923c-ce3e57e222fb · outbound

This paper cites E.,Optimal control theory: an introduction, Courier Corporation, 2012.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance E.,Optimal control theory: an introduction, Courier Corporation, 2012

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6f0023f0-3144-47cf-9aa6-fc9ca38731b6 · outbound

This paper cites Apollo Lunar Descent Guidance,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Apollo Lunar Descent Guidance,

Reference 9

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation acec3f0f-41f1-4e0d-a2fb-967702ec26a7 · outbound

This paper cites Computationally Inexpensive Guidance Algorithm for Fuel-Efficient Terminal Descent,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Computationally Inexpensive Guidance Algorithm for Fuel-Efficient Terminal Descent,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 626f4301-8a0f-4898-b0b8-411c0d846ec7 · outbound

This paper cites Minimum-Fuel Powered Descent for Mars Pinpoint Landing,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Minimum-Fuel Powered Descent for Mars Pinpoint Landing,

Reference 11

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Observation a2da2605-0297-4f8e-b958-be3a7de1ea34 · outbound

This paper cites Powered descent guidance methods for the Moon and Mars,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Powered descent guidance methods for the Moon and Mars,

Reference 12

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Observation f9666d46-99ba-41d1-9efb-87e2256bb66f · outbound

This paper cites An Algorithm for Nonlinear Optimization Using Linear Programming and Equality Constrained Subproblems,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance An Algorithm for Nonlinear Optimization Using Linear Programming and Equality Constrained Subproblems,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fc07c477-5aa6-4fa6-bb05-07cf64540a8e · outbound

This paper cites Nonlinear Optimization by Successive Linear Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Nonlinear Optimization by Successive Linear Programming,

Reference 14

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5223f90b-0032-4ef6-8abf-8697fe35e752 · outbound

This paper cites DC programming: Overview,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance DC programming: Overview,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4f793cdf-ea0b-4e1c-8b9a-2dc7b42331b8 · outbound

This paper cites The Concave-Convex Procedure (CCCP),.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance The Concave-Convex Procedure (CCCP),

Reference 16

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Observation 03cf1d52-55e2-4dfa-93e1-d3e5d16fdb59 · outbound

This paper cites Solving Nonconvex Optimal Control Problems by Convex Optimization,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Solving Nonconvex Optimal Control Problems by Convex Optimization,

Reference 17

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Observation da88d719-d809-476d-aada-71eb545c48b1 · outbound

This paper cites Entry trajectory optimization by second-order cone programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Entry trajectory optimization by second-order cone programming,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 91e5508e-9c28-47d6-8203-77ac893e5fbc · outbound

This paper cites Successive Convexification of Non-Convex Optimal Control Problems and Its Convergence Properties,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Successive Convexification of Non-Convex Optimal Control Problems and Its Convergence Properties,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 96145782-9ef9-469f-a426-43aa68597780 · outbound

This paper cites Constrained Trajectory Optimization for Planetary Entry via Sequential Convex Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Constrained Trajectory Optimization for Planetary Entry via Sequential Convex Programming,

Reference 20

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 317c4322-ab8b-472d-8b8c-deaf0ab2dfdf · outbound

This paper cites Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a4d0e305-58da-434a-9a92-20cd71122036 · outbound

This paper cites A Globally Convergent Method for Nonlinear Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A Globally Convergent Method for Nonlinear Programming,

Reference 22

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ec6457ea-aeab-41e9-aa47-473df9fd5ded · outbound

This paper cites Algorithms for Nonlinear Constraints that use Lagrangian Functions,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Algorithms for Nonlinear Constraints that use Lagrangian Functions,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e5f3da49-52c0-46ef-9b01-a95364ffeff9 · outbound

This paper cites A Recursive Quadratic Programming Algorithm that uses Differentiable Exact Penalty Functions,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A Recursive Quadratic Programming Algorithm that uses Differentiable Exact Penalty Functions,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 85b9ddd4-8331-4379-a978-3f8cde32603e · outbound

This paper cites A Strategy for Global Convergence in a Sequential Quadratic Programming Algorithm,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A Strategy for Global Convergence in a Sequential Quadratic Programming Algorithm,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eba139a1-a404-4fb2-afbf-3a49f612e35b · outbound

This paper cites Sequential Quadratic Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Sequential Quadratic Programming,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 95ba7c81-e695-4b98-b59f-ad201cb32cc3 · outbound

This paper cites A Successive Quadratic Programming Algorithm with Global and Superlinear Convergence Properties,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A Successive Quadratic Programming Algorithm with Global and Superlinear Convergence Properties,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 63099b86-9de4-4e92-a84e-8c98e288d4ae · outbound

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

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance SNOPT: An SQP algorithm for large-scale constrained optimization,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7c4e1f85-9c75-4fda-adb5-66985abd5b5d · outbound

This paper cites Path-Constrained Trajectory Optimization using Sparse Sequential Quadratic Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Path-Constrained Trajectory Optimization using Sparse Sequential Quadratic Programming,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4ebdf19b-9add-434d-9a90-a245207bca7e · outbound

This paper cites Lossless Convexification of a Class of Optimal Control Problems with Non-Convex Control Constraints,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Lossless Convexification of a Class of Optimal Control Problems with Non-Convex Control Constraints,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation df7cfd87-a5c8-4ba4-b406-817f3de1a775 · outbound

This paper cites LosslessConvexification of Non-convex Optimal ControlProblems for StateConstrained Linear Systems,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance LosslessConvexification of Non-convex Optimal ControlProblems for StateConstrained Linear Systems,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d0c24035-933b-4f0a-a9ee-b91599340201 · outbound

This paper cites Lossless convexfication of control constraints for a class of nonlinear optimal control problems,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Lossless convexfication of control constraints for a class of nonlinear optimal control problems,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.478407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.630176Z digest=sha256:d6ce2418fe0f6d21148d719f0ba316978e8ab0d66b08c8bc09a7c0375885f0af

Observation f46abc1c-b9c7-4368-88f0-3ba8e5d84509 · outbound

This paper cites A powered descent guidance algorithm for Mars pinpoint landing,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance A powered descent guidance algorithm for Mars pinpoint landing,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.461439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.635764Z digest=sha256:37b1da4dd8d9f380d18ba9dd23020fe97ebb12d5e40b24c2da08c788b7f5cc27

Observation f917ba31-6c9f-4651-a5ad-b4d8b176a0e0 · outbound

This paper cites Convex Programming Approach to Powered Descent Guidance for Mars Landing,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Convex Programming Approach to Powered Descent Guidance for Mars Landing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.443127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.640141Z digest=sha256:6e7db3a568c090f29001eedb6d93e9ec818bb7a01ea2ccd578ea6146759c938a

Observation 9f45a2d1-9aa5-4086-b25b-f302c19caf39 · outbound

This paper cites Minimum Landing Error Powered Descent Guidance for Mars Landing using Convex Optimization,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Minimum Landing Error Powered Descent Guidance for Mars Landing using Convex Optimization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.424897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.644514Z digest=sha256:8299f984a200fd7d1ca84f60edbb957c0d28338b3455014fd54325915e76ab26

Observation 6b1d4253-9d9f-42cf-8136-8df5f9a6da81 · outbound

This paper cites Lossless Convexification of Non-convex Control Bound and Pointing Constraints of the Soft Landing Optimal Control Problem,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Lossless Convexification of Non-convex Control Bound and Pointing Constraints of the Soft Landing Optimal Control Problem,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.402860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.649302Z digest=sha256:0ad8b0bb9852e1d934f97df2ffb8a799a1d076534d8c53864da27bdff63f8515

Observation 2bb91e53-adad-4ee2-b15a-3eb34e30f950 · outbound

This paper cites MaximumDivertforPlanetaryLandingUsingConvexOptimization,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance MaximumDivertforPlanetaryLandingUsingConvexOptimization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.378343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.653986Z digest=sha256:575e9f2c7d2f3d8c9f6cfc6db7dc9ef047b48cbea338d31c3b0916b5a298b197

Observation bf6b6d13-f4dc-47cd-bc65-d0433e4c98f5 · outbound

This paper cites Automated Custom Code Generation for Embedded, Real-time Second Order Cone Programming,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Automated Custom Code Generation for Embedded, Real-time Second Order Cone Programming,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.352358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.658163Z digest=sha256:1e89ee5816c930a8321cf46631a0b188b529f7ca3096cb5ff70a93dbdd79963d

Observation 7d5c9424-cb7a-4787-8031-dd4089d2c986 · outbound

This paper cites Customized Real-Time Interior-Point Methods for Onboard Powered-Descent Guidance,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Customized Real-Time Interior-Point Methods for Onboard Powered-Descent Guidance,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.329522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.663336Z digest=sha256:5eb5d2ee19763cdb1155b3b6045e48a909bb3901be8620a8a5769b2e2682b1e9

Observation 6ca1e81b-7495-45ba-846d-5849280376e6 · outbound

This paper cites Press, 2004.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Press, 2004

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.301984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.669234Z digest=sha256:1410d89e53a82be9c28f0ed5129aad963a069a30bb33dd66821f98c564586dc8

Observation 101042c8-7580-4696-9254-b798e7e5482a · outbound

This paper cites J.,Numerical Optimization, 2nd ed., Springer, 2006.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance J.,Numerical Optimization, 2nd ed., Springer, 2006

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.280126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.674228Z digest=sha256:1d502464db2b77e64f142c5479babab6615eb8acf6cd2c370ef130d57d997371

Observation a0d0b51a-065e-4278-80e3-f476c936e89e · outbound

This paper cites Optimal Power Descent Guidance with 6-DoF Line of Sight Constraints via Unit Dual Quaternions,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Optimal Power Descent Guidance with 6-DoF Line of Sight Constraints via Unit Dual Quaternions,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.254236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.679342Z digest=sha256:ce7f762d84aef4d99527b08daa1c47e045d64b0b9fa8534943ee411491f99189

Observation 5d867fa0-496c-43c6-8f58-fb0c63a0a529 · outbound

This paper cites Constrained Autonomous Precision Landing via Dual Quaternions and Model Predictive Control,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Constrained Autonomous Precision Landing via Dual Quaternions and Model Predictive Control,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.224297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.684761Z digest=sha256:885d8a38e05f24f449a52c1fc938d24acdc6fc1b81481c9949097365ccb5961b

Observation 315244a8-691c-4a72-9d44-599940eca1d8 · outbound

This paper cites Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.202725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.691513Z digest=sha256:0f158f3a8777ed9a290c417460c6024479752d1a592ec9036975703bc32d3eea

Observation 5b6baab0-5d7b-4ccd-b94b-290bee2aa2eb · outbound

This paper cites CoCo: Online Mixed-Integer Control via Supervised Learning,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance CoCo: Online Mixed-Integer Control via Supervised Learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.183194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.699577Z digest=sha256:20c0c24e98800b4d2a5efa6ea52f5a18b2eafe6fdd6ad1b211ef2359416ac526

Observation 21db011d-0010-4ca1-85ae-87b2bcd8dddc · outbound

This paper cites PRISM: Recurrent neural networks and presolve methods for fast mixed-integer optimal control,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance PRISM: Recurrent neural networks and presolve methods for fast mixed-integer optimal control,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.165419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.705308Z digest=sha256:96a81eb91008434085ff13d7e15f18ab1b328b97dd83e3399384e7797d8b32d7

Observation cdf3e51f-7fc0-4113-97d9-f649d403766e · outbound

This paper cites Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.143358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.711584Z digest=sha256:4474b3cde94da69ac8c93acd8370ad6a9ecf329657a320b449c0478dc2fc70d0

Observation edadd3bc-21da-42f6-96a3-d9f5ab0f7163 · outbound

This paper cites State-Dependent Trust Region for Successive Convex Programming for Autonomous Spacecraft,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance State-Dependent Trust Region for Successive Convex Programming for Autonomous Spacecraft,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.122009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.717000Z digest=sha256:5791fd8344c4de2c6e9820973ae386c2519da91f0725ab7a39d3bb1c497dd2de

Observation 11eb1dde-89d8-4ebb-bb1b-a15cdd360ff2 · outbound

This paper cites Convergence of Descent Methods for Semi-Algebraic and Tame Problems: Proximal Algorithms, Forward–Backward Splitting, and Regularized Gauss–Seidel Methods,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Convergence of Descent Methods for Semi-Algebraic and Tame Problems: Proximal Algorithms, Forward–Backward Splitting, and Regularized Gauss–Seidel Methods,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.099776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.722355Z digest=sha256:859c38e4ddec6bddcc07d26500a020720448e3e1bd452e1dfc1281fac7db33f4

Observation b5659d3a-6458-4ca7-8c13-7b9cc346ed9a · outbound

This paper cites Successive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Successive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T22:43:58.727633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:43:58.727633Z digest=sha256:2e40115bae170cfe776a77b6a75a70945cad51e701b47d706e3ffc5f59c85d64

Observation 336dd13a-cddb-429b-a4c4-1e8929c60758 · outbound

This paper cites Random Convex Programs,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Random Convex Programs,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.076023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.733605Z digest=sha256:e4f12159a74bc646ccfe962d34f61753930df01f73ef8782056b66a27cf6692e

Observation 41d20550-e531-47e6-81c7-785208c6bcfe · outbound

This paper cites Automatic differentiation in PyTorch,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Automatic differentiation in PyTorch,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.056642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.739488Z digest=sha256:dcc86fdb09b9b7efc8669a43e31b534dddc879fae8a147343a023313752014be

Observation 75fd5f3b-78c1-455c-be9a-689a4b174b75 · outbound

This paper cites ECOS: An SOCP solver for embedded systems,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance ECOS: An SOCP solver for embedded systems,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.036931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.743968Z digest=sha256:8a7609c3782d694347825eea429efc30b5f4c7d1c68e8b4285a715110615c20f

Observation caae8a19-4eff-45d7-84db-dbec77d8c753 · outbound

This paper cites Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:59.009274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.748553Z digest=sha256:c909b88c8ae024bfc89511924846e9dc1720616ce7268ea7aeb3f3b523532415

Observation bdddf086-5b00-47f1-9a03-7b0af9ad04fd · outbound

This paper cites Enhancements on the Convex Programming Based Powered Descent Guidance Algorithm for Mars Landing,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Enhancements on the Convex Programming Based Powered Descent Guidance Algorithm for Mars Landing,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.988201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.752795Z digest=sha256:e573fba50d8891ddbe8771d78a7ed6ee40d32e77dcda8b29fe5d5a6898cb118a

Observation 5594f9d6-b76d-4e25-9336-20133e032c8d · outbound

This paper cites Interpolation-Enhanced Powered Descent Guidance for Onboard Nominal, Off-Nominal, and Multi-X Scenarios,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Interpolation-Enhanced Powered Descent Guidance for Onboard Nominal, Off-Nominal, and Multi-X Scenarios,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.967949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.756877Z digest=sha256:97c67b50a8758822b6df0e6eecb7e599e295429eecea2499e6d3bcea7704b54d

Observation da2f997e-0105-4b47-a988-2b3a5f0cb231 · outbound

This paper cites Multidimensional binary search trees used for associative searching,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Multidimensional binary search trees used for associative searching,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.949511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.761188Z digest=sha256:7f417ae2ee19535bd8af49965dc057cceb123b4ab2ef4f8aa654a71553228545

Observation edce5b7e-58e1-47f7-a7ac-24b8cd8acb09 · outbound

This paper cites On Lines and Planes of Closest Fit to Systems of Points in Space,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance On Lines and Planes of Closest Fit to Systems of Points in Space,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.931302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.766137Z digest=sha256:71903432b7c96a631925361f23930ed8cd96f04bf30553f6c2ca654f0a5320f3

Observation 32c51f2b-a8cf-4a63-8068-5d538eb491bd · outbound

This paper cites Scikit-learn: Machine Learning in Python,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Scikit-learn: Machine Learning in Python,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:43:58.771330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:43:58.771330Z digest=sha256:34155bb314bd6ad071d8fc6d2c8b6bc3b8fceb9451068306c987117e61ec42ad

Observation 5a4a677f-c128-4004-9700-7be249e45bad · outbound

This paper cites The Mahalanobis distance,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance The Mahalanobis distance,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.895638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.776577Z digest=sha256:79c172a961e7c06026042921fd5d45d80784a64b70340e2d131a09f08776148e

Observation 567e78d2-e1dc-40d7-9375-9dff0d81cefb · outbound

This paper cites RAD750™SpaceWire-Enabled Flight Computer for Lunar Reconnaissance Orbiter,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance RAD750™SpaceWire-Enabled Flight Computer for Lunar Reconnaissance Orbiter,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.878830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.782330Z digest=sha256:bb6d6fa847e2f6bfeb63f7e1b029023d972533266e048ea7e2900f1cf4286012

Observation 84e64e60-cea3-4714-b1c2-dbca01f6d49b · outbound

This paper cites Learning to Actively Reduce Memory Requirements for Robot Control Tasks,.

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Learning to Actively Reduce Memory Requirements for Robot Control Tasks,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:43:58.859260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:43:58.787690Z digest=sha256:63dbdb4d834d41e71d26549db2ec81f38af880823b2061f9125ace4b56583874

Pith citing papers

No inbound Pith citation observations are available.