Paper Citation Record · LEDGER

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.06572.

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

pith.paper-citation-record.v1
2506.06572 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:42.525491Z

measured 44 of 44 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

44 of 44 outbound references displayed

verified exact1
verified fuzzy26
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation facaa32a-391e-4700-87ba-397888086232 · outbound

This paper cites an unresolved cited work.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:58:54.058405Z

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 0d3cb955-3723-41dd-a2fa-5fb899518707 · outbound

This paper cites Non-Coherent Source Localization with Distributed Sensor Array Networks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Non-Coherent Source Localization with Distributed Sensor Array Networks,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:58:45.919383Z

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 7d922ce2-6ccd-4634-b6a2-15925abfba93 · outbound

This paper cites Heterogeneous Sensor Fusion With Out Of Sync Data,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Heterogeneous Sensor Fusion With Out Of Sync Data,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:36.909332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d890c2b6-526e-4478-a0ea-12ad0e2a98c8 · outbound

This paper cites Target Location Estimation in Sensor Networks With Quantized Data,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Target Location Estimation in Sensor Networks With Quantized Data,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:45.561111Z

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 ab2848ee-c716-4d69-9505-cf848f3a0adf · outbound

This paper cites Data Fusion,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Data Fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:53.890659Z

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 f0231730-9070-4e02-9855-bc69d4d6419f · outbound

This paper cites Stochastic impulse control of non-smooth dynamics with partial observation and execution delay: application to an environmental restoration problem.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Stochastic impulse control of non-smooth dynamics with partial observation and execution delay: application to an environmental restoration problem

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:58:45.181509Z

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 36f8f1fc-9f93-44c9-af27-0888ed8f7388 · outbound

This paper cites Rajam ¨aki and V.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Rajam ¨aki and V

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:53.611855Z

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 e620ab03-0dae-4d30-bed2-432653b5eab2 · outbound

This paper cites [Online].

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach [Online]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:53.365496Z

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 8c0d6cf4-7085-406e-a813-956b7ee76dd8 · outbound

This paper cites Sensors Cyber- security,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Sensors Cyber- security,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:37.745881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf33c18-7e15-4ed1-b182-03a3a206a11d · outbound

This paper cites GPS Spoofing Attack Characterization and Detection in Smart Grids,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach GPS Spoofing Attack Characterization and Detection in Smart Grids,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:53.100407Z

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 c24a50fd-5cba-484a-8043-1388bb6d9b3f · outbound

This paper cites Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defenses,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defenses,

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:44.842805Z

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 50078c0f-1a16-4df8-b99d-4b4f03b23cfc · outbound

This paper cites Approaches to Secure Inference in the Internet of Things,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Approaches to Secure Inference in the Internet of Things,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:52.805247Z

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 9750744f-b5d9-47bf-851d-6025139b2cac · outbound

This paper cites Comprehensive study for local- ization techniques in manet and vanet,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Comprehensive study for local- ization techniques in manet and vanet,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:52.487825Z

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 7c7951a3-62b8-4fd3-af8a-e69c8fd8ecfd · outbound

This paper cites A security and privacy review of vanets,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach A security and privacy review of vanets,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:52.163998Z

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 02c036d3-90cd-4879-ac65-b925f6f2f437 · outbound

This paper cites Implicit cooperative positioning in vehicular networks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Implicit cooperative positioning in vehicular networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:51.904330Z

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 95078a32-8576-4634-baeb-97a08ec37678 · outbound

This paper cites Cooperative target tracking in vehicular sensor networks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Cooperative target tracking in vehicular sensor networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:51.582815Z

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 930d47fc-a21c-42fd-a748-a720e59ed7c3 · outbound

This paper cites Vehicular ad hoc networks: A new challenge for localization-based systems,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Vehicular ad hoc networks: A new challenge for localization-based systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:51.304868Z

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 8841bebc-4337-4b0c-a3fc-d080ecc6ee59 · outbound

This paper cites Connected Vehicle Security Vulnerabilities [Commentary],.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Connected Vehicle Security Vulnerabilities [Commentary],

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:51.009400Z

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 90d00193-6b1b-48ae-8716-e119a421d4c0 · outbound

This paper cites A Survey on Cyber-Security of Connected and Autonomous Vehicles (CA Vs),.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach A Survey on Cyber-Security of Connected and Autonomous Vehicles (CA Vs),

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:44.523291Z

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 82dea580-18e3-4b76-aa00-8123013f8c0f · outbound

This paper cites Cybersecurity Attacks in Vehicular Sensors,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Cybersecurity Attacks in Vehicular Sensors,

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:44.214292Z

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 420a38f6-3672-4fa1-8b93-5e4396ef4e42 · outbound

This paper cites Secure state estimation for cyber-physical systems under sparse sensor attacks via a switched Luenberger observer,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Secure state estimation for cyber-physical systems under sparse sensor attacks via a switched Luenberger observer,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:50.699154Z

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 4d8a7e0e-5c24-4031-9ac4-3c0c36530447 · outbound

This paper cites SMT-based observer design for cyber-physical systems under sensor attacks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach SMT-based observer design for cyber-physical systems under sensor attacks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:50.418058Z

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 4bf451e1-9712-45bf-bb1b-3dc4f0cae413 · outbound

This paper cites Secure state estimation: Optimal guarantees against sensor attacks in the presence of noise,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Secure state estimation: Optimal guarantees against sensor attacks in the presence of noise,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:50.121452Z

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 63ef20be-4e78-4100-9d97-1128e96fd33d · outbound

This paper cites Attack detection and identifica- tion in cyber-physical systems,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Attack detection and identifica- tion in cyber-physical systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:49.853169Z

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 72714a59-dd85-4f26-964e-c64649cbb905 · outbound

This paper cites A data-driven attack detection approach for dc servo motor systems based on mixed optimization strategy,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach A data-driven attack detection approach for dc servo motor systems based on mixed optimization strategy,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:49.576246Z

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 666d70b8-c37f-44b7-a856-c387f13472c9 · outbound

This paper cites Algorithms and Analysis for Optimizing the Tracking Performance of Cyber Attacked Sensor-Equipped Connected Vehicle Networks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Algorithms and Analysis for Optimizing the Tracking Performance of Cyber Attacked Sensor-Equipped Connected Vehicle Networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:49.293839Z

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 da8bcc0f-81a4-4559-ae62-1ed99c8e83a8 · outbound

This paper cites Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks,

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:43.911503Z

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 e396c14c-1d1d-4c96-888f-e603b87bcec6 · outbound

This paper cites Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques,

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:43.554353Z

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 a185a360-d5fa-46ca-94e9-ec34575534e9 · outbound

This paper cites The Byzantine generals strike again,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach The Byzantine generals strike again,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:49.019025Z

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 b67503ff-836c-4160-9173-bfab4dc3a05f · outbound

This paper cites Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:48.786157Z

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 23f32a1c-143f-4ac3-8c29-0ab810a08c54 · outbound

This paper cites The Impact of Order Statistics on Signal Processing,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach The Impact of Order Statistics on Signal Processing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:48.450294Z

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 01b4954d-37cd-4aa1-b2e1-8f6bd2639a50 · outbound

This paper cites How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:40.578452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34230b06-1df7-4487-aaa4-8270c4848f60 · outbound

This paper cites Characterizing trust and resilience in distributed consensus for cyberphysical systems,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Characterizing trust and resilience in distributed consensus for cyberphysical systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:48.168311Z

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 d449e399-20e5-499e-9b33-b0867108dc29 · outbound

This paper cites Resilience to malicious activity in distributed optimization for cyberphysical systems,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Resilience to malicious activity in distributed optimization for cyberphysical systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:47.830516Z

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 e9fe3675-1538-4637-a695-9146d4fca97b · outbound

This paper cites GAN-based anomaly detection: A review,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach GAN-based anomaly detection: A review,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:47.577299Z

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 4205f270-9f6b-4c64-b7de-d617ff7a921a · outbound

This paper cites Generative Adversarial Networks for Anomaly Detec- tion: A Systematic Literature Review,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Generative Adversarial Networks for Anomaly Detec- tion: A Systematic Literature Review,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:41.087809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c787a44e-d1ba-4ee2-ba61-d99724f0e38a · outbound

This paper cites A comprehensive study of auto-encoders for anomaly detection: Efficiency and trade-offs,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach A comprehensive study of auto-encoders for anomaly detection: Efficiency and trade-offs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:47.340441Z

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 3ce63b55-7551-4aca-acfd-9a1e9edc218d · outbound

This paper cites an unresolved cited work.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:58:47.042569Z

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 4b102213-e0b4-4602-85de-30ecd2630ca8 · outbound

This paper cites an unresolved cited work.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:58:46.748155Z

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 446f82a8-e4aa-45f7-9332-425dc80d6fec · outbound

This paper cites Random Forests,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Random Forests,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:46.444115Z

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 888a6da1-19d3-4ef2-8de6-95c8716dd785 · outbound

This paper cites Asymptotic minimax charac- ter of the sample distribution function and of the classical multinomial estimator,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Asymptotic minimax charac- ter of the sample distribution function and of the classical multinomial estimator,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:46.189502Z

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 1f276f4e-29d1-437c-addf-899491fd4c1f · outbound

This paper cites Data-Driven Attack Detection and Identification for Cyber-Physical Systems Under Sparse Sensor Attacks,.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Data-Driven Attack Detection and Identification for Cyber-Physical Systems Under Sparse Sensor Attacks,

Reference 42

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:58:43.195068Z

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 cb0b4044-3fdb-4e4b-8917-d07ff7c28e39 · outbound

This paper cites an unresolved cited work.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Unresolved cited work

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:37.232715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fefae4-76d0-4eee-8e2b-42ee7f5bc047 · outbound

This paper cites Secure Data Reconstruction: A Direct Data-Driven Approach.

Cyber Security of Sensor Systems for State Sequence Estimation: A Machine Learning Approach Secure Data Reconstruction: A Direct Data-Driven Approach

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:58:42.857822Z

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.

Pith citing papers

No inbound Pith citation observations are available.