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Paper Citation Record · LEDGER

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

As of 20 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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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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Observation 772f1b33-6cf1-4fb1-8a91-bdf3a297979e · outbound

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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Observation c9b5dc79-4124-4700-9a8f-4cabe3e25abe · outbound

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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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Observation 47e222bf-5128-4833-837d-57b2e4b7e8c1 · outbound

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=sha256:3afc846bb898dfa7f92e130490535bd42dc0c10da170498c4d03f298291ebc69

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.155810Z digest=sha256:e717641c2cb970a25fed69a5757090144f1d9243c41cd1b09919e496c2942b87

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=sha256:4c49abcb07d49296e866531c59644f816b2a586ca93eabce2c0afe76658fc80b

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=sha256:98ff7b4dd09002f763414a9a2a79daee05162c3b20062d8b6ed3e829dcee6459

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.169608Z digest=sha256:fbed83684fae2eb3f33185ab6edb858f655472861a75015df36724768448e113

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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source=pdf_text observed=2026-08-06T15:19:38.173577Z digest=sha256:7ed73b0724f229debe508a8e4778aec91eea162ef812591f9d18b829d8f466f2

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.178565Z digest=sha256:a074f2aca4ab7575d9d151cb2a132e222e70d8435563eb770e9aae344097f0ff

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.182632Z digest=sha256:e109127d4e3e23e93a233779a706506099437ce4412c3a38624c523e32706420

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.186635Z digest=sha256:f90a76f63607874f1b798b893dbd7fc145be98078bdd6a187db355fb65937ee4

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:38.190553Z digest=sha256:7655582fce06f05b2d1464adadf460be4f995834c3627f89a8f6f7688be7084d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.195451Z digest=sha256:c2c5926ccedee1553a837f0a9acb3f9fa99e9579586229415ed7bac6eb01d38b

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:19:38.202396Z digest=sha256:d292a0610397bccb771d6003df405cea567331e9034cee8bfff9319a75379fb7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.206840Z digest=sha256:9a7d36d9f4cda4efe21114c4985aa059587b76bac48c8b19314c19eff324dc2d

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.211263Z digest=sha256:950da580d4f4a64f674b0fb6f56b1aa289d5b6ce0f6005788c825e74357a604e

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.215538Z digest=sha256:522a0aee16f56cbcd299cb818b6b26e975fb6e414cea9dcd2875d280fbc62739

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.220863Z digest=sha256:cd07dcb84faf1b8a90b710426007d4d66365a723fea365fea553e962dc321c19

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.225142Z digest=sha256:e4e229032a8e231247101bf8788c643f276a18c4322034e0a30849448ab8a5a5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.229725Z digest=sha256:de52d7014ba87467986bd94d218647383515ec2fe48e8ffba88f46c2c42849c1

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.233973Z digest=sha256:992a64415718379446764411a32568851502c456f1d363bf1df43ca46f8c7f3f

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.238165Z digest=sha256:fd4de34e689bf12bcf49d0ed854518e52631ee5f60fc5b4e9160753ba98224e4

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=sha256:06ae0a13bc0b4831c40b00bdf20ef39f72f467c58acec199534071bbd5ef82f8

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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source=pdf_text observed=2026-08-06T15:19:38.247259Z digest=sha256:9dd9f7157aa66f7eaf40f285abda26ef8d602054bcb14b55a14f5213b4999ede

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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source=pdf_text observed=2026-08-06T15:19:38.251595Z digest=sha256:009075b7ee405f1a7e486edb53735d9d89a30dc9d5e31679876c366e1e66706f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.256004Z digest=sha256:7d30edfa9367800ab303de5b127c38d4d92927e80dbae8cbb479860837ba81c7

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:38.260235Z digest=sha256:9b36e402cffd9b20d0a1637afe48d1f77eccacbb56c32e3850e7426f0e72f0d0

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

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source=pdf_text observed=2026-08-06T15:19:38.265067Z digest=sha256:42ca124c66086cd1ec107435272881a5e4c4ff641c4f2a0e9f3582ed71cbed14

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.269648Z digest=sha256:3252890028708cb60e25a4291886fcb23d0b83999a5d9d0bd4668594c21e3851

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.277651Z digest=sha256:403601092523d7f33ead79dd9ef9dd4f9c33e833880b44f96bb5cf25423bc816

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:19:38.282545Z digest=sha256:46c501306475769bc206b6b3023d675df2bfc6d6dde672874b00de6e1d17c3e1

Pith citing papers

No inbound Pith citation observations are available.