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Paper Citation Record · LEDGER

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks

As of 7 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2507.19535.

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

pith.paper-citation-record.v1
2507.19535 v1

Coverage vector

measured 62 of 62 reference resolution

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measured 62 of 62 standing notices

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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

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Reference resolution

62 of 62 outbound references displayed

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Outbound references

Observation 18845bd0-63bf-42fd-8399-e9fff9920088 · outbound

This paper cites SMART-1: The First Time of Europe to the Moon; Wandering in the Earth – MoonSpace,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks SMART-1: The First Time of Europe to the Moon; Wandering in the Earth – MoonSpace,

Reference 1

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This paper cites Missiondesignfordeepspace1: Alow-thrusttechnology validation mission,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Missiondesignfordeepspace1: Alow-thrusttechnology validation mission,

Reference 2

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This paper cites The Dawn Spacecraft,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks The Dawn Spacecraft,

Reference 3

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This paper cites K.,The Ion Engines Cruise Operation and the Earth Swingby of ’Hayabusa’ (MUSES-C), 2012.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks K.,The Ion Engines Cruise Operation and the Earth Swingby of ’Hayabusa’ (MUSES-C), 2012

Reference 4

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This paper cites System design of the hayabusa 2-asteroid sample return mission to 1999 JU3,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks System design of the hayabusa 2-asteroid sample return mission to 1999 JU3,

Reference 5

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This paper cites BepiColombo-Comprehensive exploration of Mercury: Mission overview and science goals,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks BepiColombo-Comprehensive exploration of Mercury: Mission overview and science goals,

Reference 6

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Observation 8dd3064b-08be-474f-9701-e01916aea144 · outbound

This paper cites Real-Time Optimal Control via Deep Neural Networks: Study on Landing Problems,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Real-Time Optimal Control via Deep Neural Networks: Study on Landing Problems,

Reference 7

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Observation 4a45b55e-c0ec-452c-a61c-fda632544dc6 · outbound

This paper cites Optimality principles in spacecraft neural guidance and control,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Optimality principles in spacecraft neural guidance and control,

Reference 8

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Observation 9b2a485d-36a7-4007-acea-606163c5b9d8 · outbound

This paper cites Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Reference 9

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This paper cites Real-Time Guidance for Low-Thrust Transfers Using Deep Neural Networks,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Real-Time Guidance for Low-Thrust Transfers Using Deep Neural Networks,

Reference 10

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This paper cites Fuel-optimal guidance using costate supervised learning with local refinement,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Fuel-optimal guidance using costate supervised learning with local refinement,

Reference 11

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This paper cites Real-Time Optimal Control for Spacecraft Orbit Transfer via Multiscale Deep Neural Networks,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Real-Time Optimal Control for Spacecraft Orbit Transfer via Multiscale Deep Neural Networks,

Reference 12

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This paper cites Neural representation of a time optimal, constant acceleration rendezvous,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Neural representation of a time optimal, constant acceleration rendezvous,

Reference 13

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This paper cites Metric to evaluate distribution shift from behavioral cloning for fuel-optimal landing policies,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Metric to evaluate distribution shift from behavioral cloning for fuel-optimal landing policies,

Reference 14

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This paper cites Real-time optimal control for irregular asteroid landings using deep neural networks,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Real-time optimal control for irregular asteroid landings using deep neural networks,

Reference 15

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This paper cites Guidance and Control Networks with Periodic Activation Functions.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Guidance and Control Networks with Periodic Activation Functions

Reference 16

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This paper cites A deep learning-based approach to real-time trajectory optimization for hypersonic vehicles,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks A deep learning-based approach to real-time trajectory optimization for hypersonic vehicles,

Reference 17

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This paper cites Publication Title: MIT Press.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Publication Title: MIT Press

Reference 18

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Guided Policy Search,

Reference 19

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This paper cites Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning

Reference 20

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Mastering the game of Go without human knowledge,

Reference 21

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Benchmarking Reinforcement Learning Algorithms on Real-World Robots,

Reference 22

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Deepreinforcementlearningframeworkforautonomousdriving,

Reference 23

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform,

Reference 24

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Reference 25

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control

Reference 26

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Low-Thrust Optimal Control Via Reinforcement Learning,

Reference 27

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Observation 1e038bd4-c1c4-48a4-afec-d3cbfcf82a56 · outbound

This paper cites Guidance for Closed-Loop Transfers using Reinforcement Learning with Application to Libration Point Orbits,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Guidance for Closed-Loop Transfers using Reinforcement Learning with Application to Libration Point Orbits,

Reference 28

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks ExplorationofLongTime-of-FlightThree-BodyTransfersUsingDeepReinforcement Learning,

Reference 29

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This paper cites Using Reinforcement Learning to Design a Low-Thrust Approach into a Periodic Orbit in a Multi-Body System,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Using Reinforcement Learning to Design a Low-Thrust Approach into a Periodic Orbit in a Multi-Body System,

Reference 30

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Autonomous guidance for cislunar orbit transfers via reinforcement learning,

Reference 31

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This paper cites Reinforcement Learning for Reconfiguration Maneuver Design in Multi-Body Systems,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Reinforcement Learning for Reconfiguration Maneuver Design in Multi-Body Systems,

Reference 32

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Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Adaptive ZEM/ZEV feedback guidance for rendezvous in lunar NRO with collision avoidance,

Reference 33

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This paper cites DeepLearningTechniquesforAutonomousSpacecraftGuidanceDuringProximity Operations,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks DeepLearningTechniquesforAutonomousSpacecraftGuidanceDuringProximity Operations,

Reference 34

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source=pdf_text observed=2026-08-06T15:19:38.151685Z digest=sha256:1b9158bc9b49341fedb568869461360cedfaa882df409b5a452a49eba0cae634

Observation afeb4b21-ce63-4e17-880d-22d69ce14638 · outbound

This paper cites Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach,

Reference 35

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.155810Z digest=sha256:65eee986c3cca90be279073f70e861e74d0c3bf2681d77e112ee69a67701bf67

Observation ae83a447-ac03-4504-b057-2bbbcb5476cc · outbound

This paper cites Deep reinforcement learning for six degree-of-freedom planetary landing,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Deep reinforcement learning for six degree-of-freedom planetary landing,

Reference 36

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source=pdf_text observed=2026-08-06T15:19:38.160347Z digest=sha256:24835e9a8f03a1f312a9552df8d1cc2215492defbe6de1f99c82f8b53b8bee39

Observation 3b54896c-2d9c-4219-84e3-c28ba0b8e740 · outbound

This paper cites Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions,

Reference 37

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source=pdf_text observed=2026-08-06T15:19:38.165134Z digest=sha256:49c01a40a3b98a59094e045a7aa3a5217b697116e722f60cedb856e3bcf020de

Observation 286a4bc9-4621-45b2-8dd1-38770e8574c6 · outbound

This paper cites Densely rewarded reinforcement learning for robust low-thrust trajectory optimization,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Densely rewarded reinforcement learning for robust low-thrust trajectory optimization,

Reference 38

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doi, observed 2026-08-06T15:19:38.422912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.169608Z digest=sha256:abee48ecbb3ea17e2047c9ee4982f49bc33b3819b5150831cced7098d3fadf92

Observation 3bc1ca31-3fdd-478d-ae24-729f60712a72 · outbound

This paper cites Robustsolarsailtrajectoriesusingproximalpolicyoptimization,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Robustsolarsailtrajectoriesusingproximalpolicyoptimization,

Reference 39

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.173577Z digest=sha256:0cc7b13c45dc0654d1981e4725e5cb5b18c78236928c51e8de6901844741f782

Observation 084ea72d-ab52-4d84-ab56-ba71c8a50911 · outbound

This paper cites AAS 21-315 Autonomous Guidance for multi-revolution low-thrust orbit transfer via Reinforcement Learning,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks AAS 21-315 Autonomous Guidance for multi-revolution low-thrust orbit transfer via Reinforcement Learning,

Reference 40

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raw_fallback, observed 2026-08-06T15:19:39.477287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.178565Z digest=sha256:4f3fbd19540d87015036f8a50ae7893baf8e9e2ac63e7480c5f767ef9a60623b

Observation 6cba34c6-13d4-495d-9fb2-6f656f56acbb · outbound

This paper cites Optimal Q-laws via reinforcement learning with guaranteed stability,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Optimal Q-laws via reinforcement learning with guaranteed stability,

Reference 41

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verified exact
doi, observed 2026-08-06T15:19:38.390390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.182632Z digest=sha256:0f13b7579a81bb8cb1cf1d79038fa7ac1e17fea221b85a9b1c4fb2e8c0b4a975

Observation 8754f096-d5dd-402f-a1d2-f27b5f9aef70 · outbound

This paper cites Reinforced Lyapunov controllers for low-thrust lunar transfers,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Reinforced Lyapunov controllers for low-thrust lunar transfers,

Reference 42

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raw_fallback, observed 2026-08-06T15:19:39.464648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.186635Z digest=sha256:475a73b33bdbf2b16d51611281206e9053a55ea32cb2526f1563c0dd23df2764

Observation 4402ccd8-964b-4536-8a3f-ec8efab2906c · outbound

This paper cites When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?

Reference 43

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no resolver link, observed 2026-08-06T15:19:38.190553Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:19:38.190553Z digest=sha256:e39f10adde710dad78dc89360bd6c1f91b1433fa0a54cd6ba40b2ccb4bf2268d

Observation acda75e2-438f-40f2-9e17-7ef989b34413 · outbound

This paper cites Champion-level drone racing using deep reinforcement learning,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Champion-level drone racing using deep reinforcement learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:19:39.452238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.195451Z digest=sha256:604a58b05f35b9e686397d32111c8ef7aea36d37bcfabee7c99217f429bbffa4

Observation 60dfa26c-910e-457d-87b5-1259ef5af76b · outbound

This paper cites End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:19:38.202396Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:19:38.202396Z digest=sha256:d4f6d9bdb210e0652310e6be08be3dbbd5cca53d2f31cd17e1a0ef0d9de8f605

Observation 0df844c1-f164-4770-af0a-992d2c9191da · outbound

This paper cites End-to-end neural network based optimal quadcopter control,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks End-to-end neural network based optimal quadcopter control,

Reference 46

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metadata mismatch
raw_fallback, observed 2026-08-06T15:19:39.046850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.206840Z digest=sha256:d6fce98ca33bb536bf6e82c9c793ae8136fdd19b3a2b67cbe8ff8db5d4ea8e71

Observation a9efad1e-0d8a-46a5-997e-8198f47a3f79 · outbound

This paper cites Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:19:38.949500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.211263Z digest=sha256:3098fc6ae37ceffa0d0cf5ed7d6741fb3fca137c14b107b3239e2c67cf0f89f1

Observation 375ceaae-1875-455b-8522-fe40c8ed6acc · outbound

This paper cites High-order expansion of Neural Ordinary Differential Equations flows.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks High-order expansion of Neural Ordinary Differential Equations flows

Reference 48

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verified exact
local_arxiv, observed 2026-08-06T15:19:38.927883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.215538Z digest=sha256:8c7fab6659ffb1c18c4ee5f85c88d62aafe31302312cddd034ca9128a027cb84

Observation bb49905b-698e-479f-aae5-ef0df90ddd56 · outbound

This paper cites Revisiting high-order Taylor methods for astrodynamics and celestial mechanics,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Revisiting high-order Taylor methods for astrodynamics and celestial mechanics,

Reference 49

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.220863Z digest=sha256:676d138c842a54b7bb5b9db4fcae3867ec72f469ce6ce1c3d1bdebb6b23d9f8d

Observation 8391b19f-4f0d-4e7c-87b2-bc4aee408b87 · outbound

This paper cites Reliable event detection for Taylor methods in astrodynamics,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Reliable event detection for Taylor methods in astrodynamics,

Reference 50

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.225142Z digest=sha256:db6a1c961ebec4e0ce34834d1361eab2733b1d85d459c4f659e24e47b6cba1f1

Observation 6aabfb11-34dd-45b7-b6a9-952973209607 · outbound

This paper cites Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold

Reference 51

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.229725Z digest=sha256:bbc9c8bf6e95794ef42e87c02bcf8b7455546cca14401e04e53d406f3a5e3e8f

Observation 8da501eb-d260-4d40-9108-8e157d742d2e · outbound

This paper cites Implicit Neural Representations with Periodic Activation Functions,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Implicit Neural Representations with Periodic Activation Functions,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:19:39.440300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.233973Z digest=sha256:94396a97f8eea5b5e2f190c1f76148b2b0036840c4ab1439aa5fd2b5304bc814

Observation 97e244a6-3ade-4b6a-a920-a5812e27ffe5 · outbound

This paper cites Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:19:38.880345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.238165Z digest=sha256:4d49091bdd2e3260914f4b46b87094682e08c9ce4b399bc15acf8bef5731a79f

Observation 10e2f1d5-8f84-4573-8c95-8f63d3d4c20a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Adam: A Method for Stochastic Optimization

Reference 54

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source=pdf_text observed=2026-08-06T15:19:38.243340Z digest=sha256:a7325defa432cbc1a02579cf59885c55ef2676a69f446cc27b340408252d7bbc

Observation 29f81b09-c762-42ec-96e9-ff44a110dc18 · outbound

This paper cites A unifying view on dataset shift in classification,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks A unifying view on dataset shift in classification,

Reference 55

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:38.247259Z digest=sha256:1910615f465eac03af5c6168b1768e449db75464d885e2054da11cb67da004ab

Observation bc48cb66-5615-4fb3-88d4-24374e6e03b7 · outbound

This paper cites DART: Noise Injection for Robust Imitation Learning.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks DART: Noise Injection for Robust Imitation Learning

Reference 56

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no resolver link, observed 2026-08-06T15:19:38.251595Z

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source=pdf_text observed=2026-08-06T15:19:38.251595Z digest=sha256:a3f2c405758f1fbf28efc7b2c94dc0d63588774db693e15804593d5f702ea514

Observation 02b148d8-8e66-4d0d-8c5d-637cb89cbb91 · outbound

This paper cites DistillingPrivilegedInformationforDubinsTravelingSalesman Problems with Neighborhoods,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks DistillingPrivilegedInformationforDubinsTravelingSalesman Problems with Neighborhoods,

Reference 57

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.256004Z digest=sha256:c376490564e07c5ea14dc0941c94552b61f40500dcc53f56f0470f5f2782ddaa

Observation 43398abf-dadb-4d51-aa67-c424d8c3c9a4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Proximal Policy Optimization Algorithms

Reference 58

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no resolver link, observed 2026-08-06T15:19:38.260235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:38.260235Z digest=sha256:72fa333402555655413f04728b51b2c68ae6b08991e52a5147b76b6810d7338f

Observation 837fc13a-513f-4c59-9729-07c01dd35827 · outbound

This paper cites Stable-Baselines3: Reliable Reinforcement Learning Implementations,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Stable-Baselines3: Reliable Reinforcement Learning Implementations,

Reference 59

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no resolver link, observed 2026-08-06T15:19:38.265067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:38.265067Z digest=sha256:0c383e1b53e99b6a1045b11b5601d261a4892a6c4026bb08326068f3424d6db8

Observation 20880a4e-bd26-4c04-8362-51fb21494bd1 · outbound

This paper cites Comparative analysis of reinforcement learning algorithms for robust interplanetary trajectorydesign,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Comparative analysis of reinforcement learning algorithms for robust interplanetary trajectorydesign,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:19:39.419011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.269648Z digest=sha256:9eb5c55cab30f82a2e765afbaf8e1c22627d23fc44c3267cf314e147a0d06bd6

Observation 26b65fe4-95fa-4b41-97d3-ee63fa79bc37 · outbound

This paper cites Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-06T15:19:39.406583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.277651Z digest=sha256:20453eec4b0748e277934e67714ca0918530a58aab2d8d583941e1d7d04923d3

Observation 50185f18-2012-43b1-9cd7-d1f9677c1e21 · outbound

This paper cites Neural Ordinary Differential Equations,.

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Neural Ordinary Differential Equations,

Reference 62

Resolution
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raw_fallback, observed 2026-08-06T15:19:39.393962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:19:38.282545Z digest=sha256:dfc13627bec59b18330fde8de122b2e867fe18c343d6715bd0612e7e5c28ac86

Pith citing papers

No inbound Pith citation observations are available.