Paper Citation Record · LEDGER

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.22423.

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

pith.paper-citation-record.v1
2506.22423 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:21.871055Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7024002-ede8-45ba-a0ff-a92f63f44d86 · outbound

This paper cites Industry 4.0 technologies assessment: A sustainability perspective,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Industry 4.0 technologies assessment: A sustainability perspective,

Reference 1

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Observation b50e7bd9-8f9f-430d-9c81-154248a102bb · outbound

This paper cites Assessing the spoofing threat: Development of a portable GPS civilian spoofer,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Assessing the spoofing threat: Development of a portable GPS civilian spoofer,

Reference 2

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Observation 2e90d567-8014-40f8-979b-46e18200ae0f · outbound

This paper cites Rocking drones with intentional sound noise on gyroscopic sensors,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Rocking drones with intentional sound noise on gyroscopic sensors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.594291Z

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Observation db2e8a68-366f-4a39-b37c-a92d820ad900 · outbound

This paper cites Con- trolling UA Vs with sensor input spoofing attacks,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Con- trolling UA Vs with sensor input spoofing attacks,

Reference 4

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Observation 1140f7a9-e6e7-4b33-bd9b-a5de948d2f17 · outbound

This paper cites Control of a quadrotor with reinforcement learning,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Control of a quadrotor with reinforcement learning,

Reference 5

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Observation 50d0821f-94e5-42c4-aa40-aad4506c1240 · outbound

This paper cites Safe reinforcement learning via shielding,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Safe reinforcement learning via shielding,

Reference 6

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Observation 10dd6a20-7bf0-4439-b7db-4af9da2aa2e1 · outbound

This paper cites End-to-end safe reinforcement learning through barrier functions for safety-critical continuous control tasks,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks End-to-end safe reinforcement learning through barrier functions for safety-critical continuous control tasks,

Reference 7

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Observation 1bf3c2a1-fd46-46c5-b4de-fab17f3d03aa · outbound

This paper cites Robust adversar- ial reinforcement learning,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Robust adversar- ial reinforcement learning,

Reference 8

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Observation a0a7cc4e-e423-48a7-af76-c616b530c217 · outbound

This paper cites Robust deep reinforcement learning against adversarial perturbations on state observations,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Robust deep reinforcement learning against adversarial perturbations on state observations,

Reference 9

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Observation 34277ae1-b1c6-49b9-835e-416a09920390 · outbound

This paper cites Challenges and countermeasures for adversarial at- tacks on deep reinforcement learning,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Challenges and countermeasures for adversarial at- tacks on deep reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.639309Z

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Observation f0e5abbc-0393-4f67-a821-a74d8f7c4c83 · outbound

This paper cites SpecGuard: Specification aware recovery for robotic autonomous vehicles from physical at- tacks,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks SpecGuard: Specification aware recovery for robotic autonomous vehicles from physical at- tacks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.483800Z

Source-reported events for the cited work

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Observation d05fcce9-3db6-4c4b-8507-440645abe745 · outbound

This paper cites Auto-Encoding Variational Bayes,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Auto-Encoding Variational Bayes,

Reference 12

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Source-reported events for the cited work

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Observation c55d2aef-4339-4a90-97a7-245e16bdcebb · outbound

This paper cites Learning predictive representations for deformable objects using contrastive estimation,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learning predictive representations for deformable objects using contrastive estimation,

Reference 13

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Observation 1553867f-b122-438f-8fdb-003b091d87ed · outbound

This paper cites A framework for efficient robotic manipulation,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks A framework for efficient robotic manipulation,

Reference 14

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Observation 8fc2e8c3-277e-47e1-9051-8a068423b94e · outbound

This paper cites PuV AE: A variational autoencoder to purify adversarial examples,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks PuV AE: A variational autoencoder to purify adversarial examples,

Reference 15

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Source-reported events for the cited work

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Observation 00dc8f8e-1395-45e2-a60c-1c1ce6896140 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learning quadrupedal locomotion over challenging terrain,

Reference 16

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Observation cdb5bfb4-79fd-48fa-93fe-3a20429c04ea · outbound

This paper cites Safe learning in robotics: From learning-based control to safe reinforcement learning,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Safe learning in robotics: From learning-based control to safe reinforcement learning,

Reference 17

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Observation df80c548-95dc-4fa9-b13f-bc944381f4bc · outbound

This paper cites Learning resilient behaviors for navigation under uncertainty,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learning resilient behaviors for navigation under uncertainty,

Reference 18

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Observation 00381ee2-9eee-43ee-8fc3-8bdfa049cba3 · outbound

This paper cites A reinforcement learning-based control strategy for robust interaction of robotic systems with uncertain environments,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks A reinforcement learning-based control strategy for robust interaction of robotic systems with uncertain environments,

Reference 19

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Observation 0926f583-fefd-4271-adc3-92db09971caa · outbound

This paper cites Safe multi-agent reinforcement learning for behavior- based cooperative navigation,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Safe multi-agent reinforcement learning for behavior- based cooperative navigation,

Reference 20

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Observation 10ebee7e-76c1-4684-835e-c8d62b3671de · outbound

This paper cites Safe offline reinforcement learning using trajectory-level diffusion models,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Safe offline reinforcement learning using trajectory-level diffusion models,

Reference 21

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Source-reported events for the cited work

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Observation dbbb857c-9bdb-4ccc-af46-dcfef1f1fb21 · outbound

This paper cites Semantically safe robot manipulation: From semantic scene understanding to motion safeguards,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Semantically safe robot manipulation: From semantic scene understanding to motion safeguards,

Reference 22

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Observation 905e75c7-61c2-42ff-9a9c-f3700db42083 · outbound

This paper cites Multi-robot collision avoidance under uncertainty with probabilistic safety barrier certificates,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Multi-robot collision avoidance under uncertainty with probabilistic safety barrier certificates,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.213432Z

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Observation 5d4407f7-b0d4-42f5-8a68-7a944c1609c3 · outbound

This paper cites Learning to be Safe: Deep RL with a Safety Critic.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learning to be Safe: Deep RL with a Safety Critic

Reference 24

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This paper cites Robust model-free reinforce- ment learning with multi-objective Bayesian optimization,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Robust model-free reinforce- ment learning with multi-objective Bayesian optimization,

Reference 25

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Observation 008e9436-3c9a-4832-8f1d-1a32332792a6 · outbound

This paper cites Robust Deep Reinforcement Learning with Adversarial Attacks.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Robust Deep Reinforcement Learning with Adversarial Attacks

Reference 26

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This paper cites Injected and delivered: Fabricating implicit control over actuation systems by spoofing inertial sensors,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Injected and delivered: Fabricating implicit control over actuation systems by spoofing inertial sensors,

Reference 27

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Observation ec465787-419c-4e53-974b-a6fbf24547af · outbound

This paper cites Paralyzing drones via emi signal injection on sensory communication channels.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Paralyzing drones via emi signal injection on sensory communication channels

Reference 28

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Observation e4884b43-03cb-4602-b23d-f600ecf5963d · outbound

This paper cites Out of control: Stealthy attacks against robotic vehicles protected by control-based techniques,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Out of control: Stealthy attacks against robotic vehicles protected by control-based techniques,

Reference 29

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks PID- piper: Recovering robotic vehicles from physical attacks,

Reference 30

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Unresolved cited work

Reference 31

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This paper cites Proximal Policy Optimization Algorithms.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Proximal Policy Optimization Algorithms

Reference 32

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This paper cites A systematic study of physical sensor attack hardness,.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks A systematic study of physical sensor attack hardness,

Reference 33

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Ravage: Robotic autonomous vehicles’ attack genaration engine,

Reference 34

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,

Reference 35

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks OpenAI Gym

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Safe-control-gym: A unified benchmark suite for safe learning-based control and reinforcement learning in robotics,

Reference 37

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Learn-to-recover: Retrofitting UA Vs with reinforcement learning-assisted flight control under cyber- physical attacks,

Reference 38

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Risk averse robust adversarial reinforcement learning,

Reference 39

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ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Adversarial policy training against deep reinforcement learning,

Reference 40

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Observation 7d30b692-aa3a-4cfe-a467-cc17fe8d42c8 · outbound

This paper cites Auto-Encoding Variational Bayes.

ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks Auto-Encoding Variational Bayes

Reference 2022

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Pith citing papers

No inbound Pith citation observations are available.