Pith. sign in

Paper Citation Record · LEDGER

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning

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

source=pdf_text observed=2026-08-08T13:32:34.764195Z digest=sha256:a3f4d06e3b0a519d058c5e471f3d3ff01708fef13d2df7e758f74f02893407b7

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

source=pdf_text observed=2026-08-08T13:32:34.770107Z digest=sha256:0e33846059e86f69018f83b3beadd86a3556e4dcf54aed9eb64c1097743667c1

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

source=pdf_text observed=2026-08-08T13:32:34.775276Z digest=sha256:4955624b61ffabbab46064f64a072c1b4a04b4cebf956609db948adcec06f981

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

source=pdf_text observed=2026-08-08T13:32:34.780472Z digest=sha256:3bbf41af6cd8f82c37c2743ee5227abaa73409e9bb4d72ab6c4d28cb26b2ba86

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

source=pdf_text observed=2026-08-08T13:32:34.786007Z digest=sha256:a54a0db128f43ce8f6a93b63a447f5b72586e90be46da3721201c2b934984fbd

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

source=pdf_text observed=2026-08-08T13:32:34.791531Z digest=sha256:ddd933b3bf6bc403ed8d041696c86bb9f91ee9bc7b2f2cf18eb1935456d8eef7

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

source=pdf_text observed=2026-08-08T13:32:34.797360Z digest=sha256:b36b1b78cacf817ee35dbc2f211d9edd23cc0f049c74ec82942c32fc68cbc9c8

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

source=pdf_text observed=2026-08-08T13:32:34.803830Z digest=sha256:dfffe504203065ecc631831e61f01037151cadd5a434df0512ae1c5c59afceef

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

source=pdf_text observed=2026-08-08T13:32:34.809263Z digest=sha256:18a9ec47ba533392702908dd95f850c0f382ff4a2e7e62467e30dd75a2976318

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

source=pdf_text observed=2026-08-08T13:32:34.814326Z digest=sha256:4d94b61b45231d61e7599cc473e4c1be6a2326954bfcbe8b5c6ddd9ec9f8869f

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=sha256:417866c7a73a0f92a4184b84cb7e64a5ecfef1e57b8bb1b11ea3a5fdc9303baa

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:e0d500f260d8d7c159fede6d0357eec4066ef279ad6ac8e81acddd909a4e85f5

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

source=pdf_text observed=2026-08-08T13:32:34.833636Z digest=sha256:8cfecf7d3cb3b055f369f92d9d333f2993379f746a4feb6d193c603e944dbe04

Pith citing papers

No inbound Pith citation observations are available.