Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:36.658622Z digest=sha256:07c559f874658f216563fa4e97f8564fcf6b5afb8148b6ec618e846cb34ba6c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:36.738447Z digest=sha256:a0cbb627bbba9ce5106be1b112e8bc93a427cac20d4474a5a2fb6b6480b4e747

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.

source=pdf_text observed=2026-08-07T05:58:36.909332Z digest=sha256:db26d809be3b975325d7a7d68ecbc5a0fb6e385cec7b2f23baeb13d5c58e4854

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.045937Z digest=sha256:3badb1651dd1dce01622f749e93ff1b8b3df289258c160821dea9a9341794634

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.135478Z digest=sha256:e2ba505c13f1c1834447ec0af11becb01ac159315ec914a1aefe28dac042a003

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.330021Z digest=sha256:2a897a7b48e538cd0db2690e0c06bedf8311e808e46dc61fbf0499bcfba252b8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.436503Z digest=sha256:b64aefbf759dfdb3dc39cb02e860bc3c3cf6dd4c95d617204ee3f7c62213a1c6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.580249Z digest=sha256:a0df144d3aa8ac13c1ed8baf6673f63992898d56f17cde62c35b45527b0dd8b8

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.

source=pdf_text observed=2026-08-07T05:58:37.745881Z digest=sha256:ed73e5e1525de329a81706265bfce6e223f1fe448c689e2ef363df84154669b7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:37.928810Z digest=sha256:cf899b65e823e205badeb69cf81fc966abf184db2f0f125a3eaa7a11472b4677

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.102032Z digest=sha256:20e0e4debe913d9fbb32fe762d0fbd8fbcaa4cb0a6415cba4ea251d0f2b0ee1f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.219870Z digest=sha256:0ed8ca5a3aebb30a8afffa23e34ed7c7646199645936d5b6fad29dc776f2681d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.329880Z digest=sha256:722237c7d4a5149d81c7a92515cea4f073d9a229d65e355cfededf26f6634bed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.438451Z digest=sha256:f371345cb231ef2d27d16d955b49045d9c70705c4223c233e81e2fe6b1fede4f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.552769Z digest=sha256:7287885e5bd0874c2b43dd7b387040928d0162d0183a21398adec25118f249b4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.722611Z digest=sha256:3fe3771f65412ba5b36943d137745701b5b231cddb5aa81c75d49454e823ef9b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.855017Z digest=sha256:2b8813ad550c22ea6d48f818ad18abf71398d3041694fa173ac25c2c5db19536

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:38.992687Z digest=sha256:aa51b0e5852feda5d6884cfd3ec07e3e2de7ce6b1c36badaadfdbb1139d4de4c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.136115Z digest=sha256:c1105f953314cee03857c04b7755354a49596b910aca233ccb16bf08afeaea75

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.265230Z digest=sha256:93e91f3996e1f786987ef3e44577e66f9798d2805b5298ae0d96e3f37d1f2780

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.377852Z digest=sha256:c85c4d13db3f6f44b7984bd22dcddf2e6361b20e763d9dd4ef264f7adf8ff921

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.487504Z digest=sha256:78cb715d33ca924cca1e195ba45363bc6370898c08961207da378bd59df905d7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.599099Z digest=sha256:2c9305762346043214713327eac726b4776d3c49f6195e1f5361e21d8f452c1b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.718790Z digest=sha256:96b1cec75b66b387be93d27115ed4f3ad680f0aa488c6bde0b262eaa8b4ac75b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.836230Z digest=sha256:0a1acec22c52c5cbbfc1389844910f71f42618e9fc7c03a5f32388f2f03aab67

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:39.948060Z digest=sha256:695ac19d678a6ad25d22b7095c838b4dc14e9ce1c32036ee6baee3c7ab10b354

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.063182Z digest=sha256:109db3a09b2da59cd837c07a90ef73a2983b437796178dbdfd09351501bfc4ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.168570Z digest=sha256:045a36b6c5e8fb5ee9be5b8699be4babcf631f7ee0fdbf2ee4a63206e5804846

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.255545Z digest=sha256:80970b1a0d157c4ad1a3e0d713366fbde7c63303fd424bbac69ee0d28796f201

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.381614Z digest=sha256:6852605267482555737d8739b39fcf4e62fad784d4f03901eeab3cc2edfd3596

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.490609Z digest=sha256:b78e27c2ecbfb7569e3c7b56886f08d2aa1f568d4c9d9f9e59c04aaad509a6b3

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.

source=pdf_text observed=2026-08-07T05:58:40.578452Z digest=sha256:34123211006850d89086572cf7d9e911f10c89f6793c7368620c2dcc524fd9ce

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.655336Z digest=sha256:db919efab7058b2d5f7c99ef29f77e4d53afa0fff618407b30d1f5296c6717dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:40.781593Z digest=sha256:3605865af6f92c0fa05a7b8b556be4a5c60d628bdca65e42850b830694a6daa0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.005273Z digest=sha256:580b16554f5fdeadc770225163a5409cddd8a4934478834d737f35718f6f806f

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.

source=pdf_text observed=2026-08-07T05:58:41.087809Z digest=sha256:692c53ec01e366ed3476c835c9df12306420a9ff7e2e30cdd55f1b63eb25af12

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.254938Z digest=sha256:30fb3189c1ce48d6360896c8e2accf8a47139db63d27bb88609a193fd1cbb1ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.451688Z digest=sha256:aeffea6135804c16d1cb5123e725c6c622f02e69b20c42e46ac424e1850dffe5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.605477Z digest=sha256:b4131f2d69fb706d48f1d554b13aee3c37a5a874727e8e20aeec4f282a47b93b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.750080Z digest=sha256:d5b10afff98a5038e3ac768b45da8308f409878a6526904fdfad3fc82ce56dd1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:41.939761Z digest=sha256:6847aa693d731f73e169fd84682c1bddf3e5773a1154c38a758bf9ff09d184ab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:42.126468Z digest=sha256:b1d6924616be8d7f067eff41215e2a1299b2b27b7f41c220dea0d2dc78ee1f5e

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.

source=pdf_text observed=2026-08-07T05:58:37.232715Z digest=sha256:7c9e06575b1488d1296bf33afab1cf2d9da0895667a52cc5f19c1a7c7bb7bb44

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:58:42.525491Z digest=sha256:28d1ec8e22ea1ed8a410335896d234818a071ef280404969bf437acae20fa281

Pith citing papers

No inbound Pith citation observations are available.