Paper Citation Record · LEDGER

Trojan Attacks on Neural Network Controllers for Robotic Systems

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2602.05121.

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

pith.paper-citation-record.v1
2602.05121 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:24:02.832295Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3185baee-2184-4745-8477-44b13697a978 · outbound

This paper cites Lewis, S.

Trojan Attacks on Neural Network Controllers for Robotic Systems Lewis, S

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.112697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35f596a-df91-45cc-a525-084879a69b57 · outbound

This paper cites Adversarial Attacks and Defences: A Survey.

Trojan Attacks on Neural Network Controllers for Robotic Systems Adversarial Attacks and Defences: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.235619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4baf7be-cd4b-445c-8a4d-64982bd88197 · outbound

This paper cites Badnets: Identifying vulnera- bilities in the machine learning model supply chain,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Badnets: Identifying vulnera- bilities in the machine learning model supply chain,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.324079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce6f213-3ecb-421f-bb34-ee5b052f2161 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.391511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838ab9f7-ce45-41d2-b321-5ed9a83e5003 · outbound

This paper cites An embarrassingly simple approach for trojan attack in deep neural networks,.

Trojan Attacks on Neural Network Controllers for Robotic Systems An embarrassingly simple approach for trojan attack in deep neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.536751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa5fde2-008f-473f-a692-5f520ce69f56 · outbound

This paper cites Trojdrl: evaluation of backdoor attacks on deep reinforcement learning,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Trojdrl: evaluation of backdoor attacks on deep reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.684743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53fb6696-1281-4105-acd0-f83e77540670 · outbound

This paper cites Stop-and- go: Exploring backdoor attacks on deep reinforcement learning-based traffic congestion control systems,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Stop-and- go: Exploring backdoor attacks on deep reinforcement learning-based traffic congestion control systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.812061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e836997-a1e1-4a5a-a468-408e7d85ac1a · outbound

This paper cites A trigger exploration method for backdoor attacks on deep learning-based traffic control systems,.

Trojan Attacks on Neural Network Controllers for Robotic Systems A trigger exploration method for backdoor attacks on deep learning-based traffic control systems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.932761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed111060-4680-4267-9b22-ee791dc26641 · outbound

This paper cites PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning.

Trojan Attacks on Neural Network Controllers for Robotic Systems PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:01.980022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e0b1be-3c91-4746-afcc-799c24c51107 · outbound

This paper cites Trojanrobot: Physical-world back- door attacks against vlm-based robotic manipulation,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Trojanrobot: Physical-world back- door attacks against vlm-based robotic manipulation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.072489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e749f59f-68b3-4ff4-9491-325b690d701e · outbound

This paper cites A model- independent trojan attack on deep learning-based fdia detection in smart grid protection systems,.

Trojan Attacks on Neural Network Controllers for Robotic Systems A model- independent trojan attack on deep learning-based fdia detection in smart grid protection systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.229261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0893f62e-43d9-44dc-ae42-51245cd759c1 · outbound

This paper cites Blind concealment from reconstruction-based attack detectors for industrial control systems via backdoor attacks,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Blind concealment from reconstruction-based attack detectors for industrial control systems via backdoor attacks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.383441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab90643c-ce57-413a-a990-63cc795be787 · outbound

This paper cites A survey of robot learning from demonstration,.

Trojan Attacks on Neural Network Controllers for Robotic Systems A survey of robot learning from demonstration,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.427856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efab04cf-5213-4cf1-a11c-fc04ca04681b · outbound

This paper cites Control of wheeled mobile robots: An experimental overview,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Control of wheeled mobile robots: An experimental overview,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.488793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58fa3bf9-0701-4d3e-b17f-23b20d44290b · outbound

This paper cites Models are codes: Towards measuring malicious code poisoning attacks on pre-trained model hubs,.

Trojan Attacks on Neural Network Controllers for Robotic Systems Models are codes: Towards measuring malicious code poisoning attacks on pre-trained model hubs,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.582301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab181990-9fc8-4c54-b717-96a4584b7e30 · outbound

This paper cites My model is malware to you: Transforming ai models into malware by abusing tensorflow apis,.

Trojan Attacks on Neural Network Controllers for Robotic Systems My model is malware to you: Transforming ai models into malware by abusing tensorflow apis,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.705851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0367b8a9-8b19-40db-86ad-7fb2766495cd · outbound

This paper cites A stable tracking control method for an autonomous mobile robot,.

Trojan Attacks on Neural Network Controllers for Robotic Systems A stable tracking control method for an autonomous mobile robot,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.776811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3baf14-5eb8-4e07-8ed9-9ab4635cf742 · outbound

This paper cites A predictive control strategy for remotely manoeuvred wheeled mobile robots enabling setpoint attack detection,.

Trojan Attacks on Neural Network Controllers for Robotic Systems A predictive control strategy for remotely manoeuvred wheeled mobile robots enabling setpoint attack detection,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:24:02.832295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.