Paper Citation Record · LEDGER

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

As of 10 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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

verified exact0
verified fuzzy28
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:27.198867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.930052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.213156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.214816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.239266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.935882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.385496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.457496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.378325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.231657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.102268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.965119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.991551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.073914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.846220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.740621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.607728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.505956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.386775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.303315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c03e10-8ef9-43ef-a6b5-8ceacf145039 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:23.974900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.400636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b7b658-d684-4437-a283-53dee41bef85 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:23.831060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:23.675472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:23.501790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f9dcd2a-e5fb-45f8-b48b-7c33ddd3e6ec · outbound

This paper cites PID- piper: Recovering robotic vehicles from physical attacks,.

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

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:23.292277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76dad6d7-7d68-4615-960f-10181d327bc9 · outbound

This paper cites an unresolved cited work.

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

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:10:23.067683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e9a290d-6a11-4775-b016-72c1fef40def · outbound

This paper cites Proximal Policy Optimization Algorithms.

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

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.046415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bedbd743-68ba-42f2-bdb4-462b5e953cc2 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.901845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9efe520-f7a6-4781-8a72-5dbfe2075137 · outbound

This paper cites Ravage: Robotic autonomous vehicles’ attack genaration engine,.

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

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.721391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a92548f4-9322-42ba-958b-d18e061ed690 · outbound

This paper cites Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.547784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11854073-8d40-44c7-b3ef-f66e002e93f0 · outbound

This paper cites OpenAI Gym.

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

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.485259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e398c4c7-d1cb-4015-bbaf-06c94feda2ca · outbound

This paper cites Safe-control-gym: A unified benchmark suite for safe learning-based control and reinforcement learning in robotics,.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.584869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb6de24-2718-4e76-9ad5-299ef5662a51 · outbound

This paper cites Learn-to-recover: Retrofitting UA Vs with reinforcement learning-assisted flight control under cyber- physical attacks,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.378745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e17e381-0a96-4483-af6c-d7c4008ec135 · outbound

This paper cites Risk averse robust adversarial reinforcement learning,.

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

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.225255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c963a57-9682-49da-a1f9-33772b8a9770 · outbound

This paper cites Adversarial policy training against deep reinforcement learning,.

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

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:22.088294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.576524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.