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Paper Citation Record · LEDGER

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.07839.

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

pith.paper-citation-record.v1
2502.07839 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:32:34.833636Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

13 of 13 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf3c2972-21aa-4a23-a1b8-c6231f45ac2a · outbound

This paper cites APF-CPP: An artificial potential field based multi-robot online coverage path planning approach,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning APF-CPP: An artificial potential field based multi-robot online coverage path planning approach,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.095335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.764195Z digest=sha256:26c6da49b27056de6ab976ef5eb331733ef28dfa2745ec621cd2f3c06804f8c1

Observation 752b297c-ce9b-4d4a-9cd7-5e567db1c37b · outbound

This paper cites MINER-RRT*: A hierarchical and fast trajectory planning framework in 3d cluttered environments,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning MINER-RRT*: A hierarchical and fast trajectory planning framework in 3d cluttered environments,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.077413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.770107Z digest=sha256:f78c0efaaa7d0ad00bfcad58389af346d23283c49156d97caee76e12d02f6763

Observation f9188d0d-f634-4b2c-9893-e66975f53fec · outbound

This paper cites A comprehensive survey and tutorial on smart vehicles: Emerging technologies, security issues, and solutions using machine learning,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning A comprehensive survey and tutorial on smart vehicles: Emerging technologies, security issues, and solutions using machine learning,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.060469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.775276Z digest=sha256:ea8113f20617553c340aabf3ff0e3e7b6f989d816f919eb0f4f098e4c57d92f3

Observation a862bf83-7961-4f0b-b433-a01b5502639c · outbound

This paper cites Lasso-based detection and identification of actuator integrity attacks in remote control systems,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Lasso-based detection and identification of actuator integrity attacks in remote control systems,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.042249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.780472Z digest=sha256:d636144b40872dc9ad263d352d75ba97f58184e75afb8520fec8fae4c947bd73

Observation 4c6f8e9b-d23e-4fe1-b5fa-6a55e161fffb · outbound

This paper cites Learning-based dos attack power allocation in multiprocess systems,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Learning-based dos attack power allocation in multiprocess systems,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.025927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.786007Z digest=sha256:00dc04cdd372f6ab3a46f1a96701b78a194d44d493f118afb5a76e23f4469f29

Observation 08cb7a8e-56c9-4b79-8e0b-cef6ce29e29c · outbound

This paper cites A secure robot learning framework for cyber attack scheduling and countermeasure,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning A secure robot learning framework for cyber attack scheduling and countermeasure,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:35.007253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.791531Z digest=sha256:3a0123cf3c644e01ca4f29e971eabd5f26c41bb301250196a069f5f6bdeade0a

Observation 82b89981-6050-4506-a27c-3ea50d230424 · outbound

This paper cites Optimal data injection attacks in cyber- physical systems,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Optimal data injection attacks in cyber- physical systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:34.989617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.797360Z digest=sha256:53b530411ea4b345a951a5fc56499af4dac38bba0a58681eff2b83265c2ae764

Observation 5b5fcb52-e2d7-4cec-8a11-d93dcf5fec5e · outbound

This paper cites A class of optimal switching mixed data injection attack in cyber-physical systems,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning A class of optimal switching mixed data injection attack in cyber-physical systems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:34.972707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.803830Z digest=sha256:28b2635c534dfda9d21c29096892e92d7e18c6d88d0dcd5146bf12a5e0215e96

Observation b9680db9-2317-4bcf-ae62-e094c3739aeb · outbound

This paper cites Secure pose estimation for autonomous vehicles under cyber attacks,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Secure pose estimation for autonomous vehicles under cyber attacks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:34.955949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.809263Z digest=sha256:9ac688a68b38ad2611e39d39aca180ec4c6b93e3caacf25e454b8c065d49bc0d

Observation 5f758e9c-3c59-4146-9661-9cbc0f3c2c75 · outbound

This paper cites QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:32:34.920859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.814326Z digest=sha256:402176c8c39380f386d0147aa6a6ca89ee9e0eb07cfd6d091407f1ecc8626754

Observation 7c1f55d0-4213-497b-9718-c3a874038169 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T13:32:34.820612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:32:34.820612Z digest=sha256:3497c02fa787955bcc6773bdc8e56266ce5340280212329bb3378f14a507c7df

Observation 83151a41-a9e7-4ef0-83b4-16c16938dc22 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Soft Actor-Critic Algorithms and Applications

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T13:32:34.827682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:32:34.827682Z digest=sha256:7601290b87f1f78963f2d0c661b28912be9999eacedd8299401259e1c9510a93

Observation 28beccdf-8fc7-4ed0-a6a2-d616988d0e57 · outbound

This paper cites Simultaneous stabilization and tracking of nonholonomic mobile robots: A lyapunov-based ap- proach,.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning Simultaneous stabilization and tracking of nonholonomic mobile robots: A lyapunov-based ap- proach,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:32:34.939363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.833636Z digest=sha256:4a18ec5c1baa4a9e13c9c3d3c6fe344921387bcdfc28743b5db7f4d33003c23b

Pith citing papers

No inbound Pith citation observations are available.