Paper Citation Record · LEDGER

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.24044.

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

pith.paper-citation-record.v1
2505.24044 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:27.184271Z

measured 25 of 25 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

25 of 25 outbound references displayed

verified exact3
verified fuzzy9
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1297e7e-168b-48a5-bdba-7c63c2a9dfa0 · outbound

This paper cites Chamilov.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Chamilov

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:30.772272Z

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.

Observation 7e04ec49-b82a-4a73-95f8-6956894a6e44 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:30.600717Z

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.

Observation 4fc58efc-4e44-45bb-8f66-5d6004cb7f86 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:30.422657Z

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.

Observation 2059384c-7cca-46d6-a7ac-08a0b296da6b · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:30.259839Z

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.

Observation 45c1e8b5-b805-4b19-b2bd-76cbb78c2b67 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:30.131612Z

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.

Observation 0587c6fe-4f18-44cf-aa58-e1e51d574d05 · outbound

This paper cites ”Pearson’s correlation coeffi- cient”.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach ”Pearson’s correlation coeffi- cient”

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:29.960957Z

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.

Observation 75950d38-58d9-4046-bfdf-918a8ddfca17 · outbound

This paper cites Redhwan, R.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Redhwan, R

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:29.791600Z

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.

Observation 4c6aa80a-8557-4239-9c6c-55768835d98e · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:29.621392Z

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.

Observation d1ba94f2-a2f8-45fe-96b4-28c0ce0fc447 · outbound

This paper cites Sharma, L.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Sharma, L

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:29.432776Z

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.

Observation 6b69cc28-507a-4145-be70-dde5f9b8a93c · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T12:40:27.477499Z

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.

Observation a4345047-fbf8-4ef4-b0dc-83b5a88bb94f · outbound

This paper cites Simulation and Modeling for Anomaly Detection in IoT Network Using Machine Learning.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Simulation and Modeling for Anomaly Detection in IoT Network Using Machine Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:29.243766Z

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.

Observation d32b4e03-f190-4f0c-b97f-1f39d74ddcbb · outbound

This paper cites A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T12:40:27.443798Z

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.

Observation b66914a2-45bf-491c-8e18-928f4693f092 · outbound

This paper cites Jolliffe and J.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Jolliffe and J

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:25.941957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9504e777-e798-4a10-8a85-108d5614cbb5 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:29.102191Z

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.

Observation fdca2ada-e78c-44a1-947c-c208a4fb7c66 · outbound

This paper cites McInnes, J.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach McInnes, J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:28.891697Z

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.

Observation f0434a64-1c53-4d09-a6bf-4da0d7bdaa6a · outbound

This paper cites Aggarwal, A.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Aggarwal, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:28.504445Z

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.

Observation 42663f70-562d-4040-8683-d2c82f98e008 · outbound

This paper cites van der Maaten and G.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach van der Maaten and G

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:28.701506Z

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.

Observation f8616564-0c99-4489-a1ef-8003eed24490 · outbound

This paper cites Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:26.633982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77dfe757-d98f-41f0-b0f3-297f119bac28 · outbound

This paper cites Bodik, W.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Bodik, W

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:28.356238Z

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.

Observation e302e667-29e8-4c3e-8c51-6a4118da21ae · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:28.177880Z

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.

Observation afd229ac-c83c-417b-a64f-550052e4748a · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:27.963791Z

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.

Observation 50f98095-811f-46c5-bb53-851cae03764c · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:27.746170Z

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.

Observation dd97f3eb-52ba-4b3b-8a5a-42be572143c8 · outbound

This paper cites Sokolova, N.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Sokolova, N

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T12:40:27.323643Z

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.

Observation 6bbdb730-f0c4-4c14-b744-235012c97fa8 · outbound

This paper cites Attribute Restoration Framework for Anomaly Detection.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Attribute Restoration Framework for Anomaly Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:27.130971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a554c81a-e863-425d-89a7-a9cc7a52a759 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:27.184271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.