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Paper Citation Record · LEDGER

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.07559.

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

pith.paper-citation-record.v1
2507.07559 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:46:45.722785Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy55
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e94095cd-c98a-4f41-b9fd-ce287469b3bf · outbound

This paper cites Unsupervised anomaly detection algorithms on real-world data: how many do we need?,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Unsupervised anomaly detection algorithms on real-world data: how many do we need?,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 34216475-3104-444a-ae10-25a32e907888 · outbound

This paper cites Real time anomaly detection and categorisation,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Real time anomaly detection and categorisation,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fa4d8c26-b3fb-4ac1-a4aa-eed73fcc1a09 · outbound

This paper cites A review on soft sensors for monitoring, control, and optimization of industrial processes,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A review on soft sensors for monitoring, control, and optimization of industrial processes,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e30364fb-299e-4486-8c83-b2c5decf2c2f · outbound

This paper cites Jeschke, C.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Jeschke, C

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 17c03640-b968-4090-a6c6-41917be1d058 · outbound

This paper cites Real-time deep anomaly detection framework for multivariate time-series data in industrial IoT,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Real-time deep anomaly detection framework for multivariate time-series data in industrial IoT,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6278de6d-a058-442e-8c9b-ddcda6eae183 · outbound

This paper cites Internet of things in the context of industry 4.0: An overview,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Internet of things in the context of industry 4.0: An overview,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e54a8ed-a905-4d2d-b74c-b809062491c5 · outbound

This paper cites Smart factory of industry 4.0: Key technologies, application case, and challenges,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Smart factory of industry 4.0: Key technologies, application case, and challenges,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a06c4177-87d1-4ddd-8d47-c1be466f12a3 · outbound

This paper cites Enabling industrial IoT as a service with multi-access edge computing,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Enabling industrial IoT as a service with multi-access edge computing,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a858584c-605c-4258-ad25-fee02786e5fe · outbound

This paper cites Towards communication-efficient and attack- resistant federated edge learning for industrial internet of things,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Towards communication-efficient and attack- resistant federated edge learning for industrial internet of things,

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ebf0fbd2-c619-4e4d-a20b-25bd703d9688 · outbound

This paper cites ADBench: anomaly detection benchmark,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series ADBench: anomaly detection benchmark,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 81bab5f7-9027-4f58-aac8-b97c2f036707 · outbound

This paper cites Unsupervised real-time anomaly detection for streaming data,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Unsupervised real-time anomaly detection for streaming data,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a2e87fa1-07f2-4fd0-a172-fb2d33e0d6d5 · outbound

This paper cites Dive into Time-Series Anomaly Detection: A Decade Review.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Dive into Time-Series Anomaly Detection: A Decade Review

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81aaa4e7-e12d-42ce-96c8-a799e9bd4f63 · outbound

This paper cites A comprehensive survey of numeric and symbolic outlier mining techniques,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A comprehensive survey of numeric and symbolic outlier mining techniques,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ae36a000-f995-4f72-b2e0-10ebf5845e4c · outbound

This paper cites Big IoT data analytics: architecture, opportunities, and open research challenges,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Big IoT data analytics: architecture, opportunities, and open research challenges,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.822008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:42.290099Z digest=sha256:dd50cade4967df1043aa87de34aaa06ad32d397ff62dbff144795d694bf74915

Observation a81e1b70-d0b6-4b9d-b348-0d942e3f20c0 · outbound

This paper cites A review of deep learning models for time series prediction,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A review of deep learning models for time series prediction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.797675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b18f418d-2ed8-41db-a981-e939699c4c44 · outbound

This paper cites 25 years of time series forecasting,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series 25 years of time series forecasting,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d18243d-d1d5-4e2c-b249-270ee37f062f · outbound

This paper cites Algorithms for mining distancebased outliers in large datasets,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Algorithms for mining distancebased outliers in large datasets,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 66c2d23e-090f-4987-abfe-c23b8cde9d79 · outbound

This paper cites Distance-based outliers: algorithms and applications,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Distance-based outliers: algorithms and applications,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 48e5b205-256b-444c-a0d5-57ec0f83470b · outbound

This paper cites Efficient algorithms for mining outliers from large data sets,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Efficient algorithms for mining outliers from large data sets,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.681571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ae9ab0c7-62ea-4e70-ae24-6777c99a747a · outbound

This paper cites A comprehensive survey of anomaly detection algorithms,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A comprehensive survey of anomaly detection algorithms,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b2db87cf-a50e-45be-a475-ae9eb5af7fb8 · outbound

This paper cites LOF: identifying density-based local outliers,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series LOF: identifying density-based local outliers,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:42.795344Z digest=sha256:78fd6e418116263b052ea15c7fa344cb74d35a37dc0d0efea0a780d9768f956a

Observation ce345d94-ff26-414d-8994-ae0073a5b6fd · outbound

This paper cites Enhancing effectiveness of outlier detections for low density patterns,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Enhancing effectiveness of outlier detections for low density patterns,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.574168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 63b8c1d1-f4e3-4871-ad50-766f578cb03d · outbound

This paper cites Anomaly detection: A survey,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Anomaly detection: A survey,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.546087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f6dbca5-c802-43f2-a806-62167799d87f · outbound

This paper cites Deep one-class classification,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Deep one-class classification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.513103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:42.980677Z digest=sha256:4f4d95fb4fc579be2b484c862004056faf70f43b36b72e21fec5a86a2b07dfbb

Observation cf713490-caf2-4846-be2b-0ac842b0eefc · outbound

This paper cites A review of tree-based approaches for anomaly detection,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A review of tree-based approaches for anomaly detection,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.486735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.035342Z digest=sha256:51ad52db8438ea8ef2fa7cc6421871b1dc3a33435ede64a03a4dd8a584c5a301

Observation 74c47254-b3ac-4976-9616-5b84afe128b5 · outbound

This paper cites Unsupervised anomaly detection for IOT-based multivariate time series: Existing solutions, performance analysis and future directions,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Unsupervised anomaly detection for IOT-based multivariate time series: Existing solutions, performance analysis and future directions,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.459576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.100438Z digest=sha256:2f142622b6e9fc5cce575cdf1d7f4648f33b8fa5e5d6bbb539c5c8d2f277351b

Observation 1c9ded8a-ff30-4958-b299-25ab82806662 · outbound

This paper cites Isolation forest,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Isolation forest,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.430819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.144650Z digest=sha256:29ca9a93a857644c699b9c6a569db999525e2ca902455b1ccd0d848b579e60db

Observation e7ddd9ae-a9d9-413a-91eb-6584587a71cf · outbound

This paper cites Extended isolation forest,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Extended isolation forest,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.396406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 46bff962-3942-4a67-870e-5d6b2ce50caa · outbound

This paper cites an unresolved cited work.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:46:48.373161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.279263Z digest=sha256:73f282da7bada25c1f8e998db59e8ec6a4c8732657b527189d3e11caa8bfc009

Observation a630c719-cb43-4574-81c5-1cdf85287340 · outbound

This paper cites Minimal infrequent pattern based approach for mining outliers in data streams,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Minimal infrequent pattern based approach for mining outliers in data streams,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.352210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.332090Z digest=sha256:43afa94e7f38e2eb30b6222deeb63fcc72f30b787b1759b1d95ecc8d82960361

Observation 9ce4d43d-0a22-4d49-91dc-12a9815d69d9 · outbound

This paper cites Mifi-outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Mifi-outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.330972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.393986Z digest=sha256:5775412b48500b4905b9ad67e3dba630f617c560174d5a896d74d431dc7b374c

Observation 60b7192a-64e7-4168-81f7-78866596ec24 · outbound

This paper cites On-line anomaly detection with high accuracy,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series On-line anomaly detection with high accuracy,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.297220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.467435Z digest=sha256:a185df2fd9d2ccd758aae6d6f574341747b31afdd97e03f917d48dfdb23f81d6

Observation 83eb1551-b28d-4825-ba5a-193277b92a64 · outbound

This paper cites Anomaly detection via online oversampling principal component analysis,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Anomaly detection via online oversampling principal component analysis,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.273730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.535310Z digest=sha256:49e6183ada99aa87fc1561cbb38a56445c6d8a5f96c50ca5a1c163171225ebba

Observation 92b62082-7213-43d3-876a-63e7034f486e · outbound

This paper cites Threaded ensembles of autoencoders for stream learning,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Threaded ensembles of autoencoders for stream learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.224696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.581606Z digest=sha256:bff114a30be2df2a30cfb88db2aa40c721e31f21b80d95ee521d3299f027b759

Observation 994c3a4f-200c-4409-81d1-d5c54a2aec76 · outbound

This paper cites Sliding window-based fault detection from high-dimensional data streams,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Sliding window-based fault detection from high-dimensional data streams,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.198510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.633325Z digest=sha256:3d177a1dec6998fd55c0c6782bb4ee51605e5220ea0aa6342ac7fd2764990fdf

Observation 619ced63-c03b-4091-9eeb-64d0c6bdb611 · outbound

This paper cites Schubert, Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Schubert, Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.173525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.716273Z digest=sha256:8af0e1bf61e6a910e593b3c080b379a0dc1a6c34ef6350134ef522b8d8f52476

Observation 3789515a-1ba1-4e94-979c-d7614aa3c804 · outbound

This paper cites A survey of outlier detection in high dimensional data streams,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A survey of outlier detection in high dimensional data streams,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.154090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.784457Z digest=sha256:c67997a3ce4e77a12a46c5537586c7668b883f424476cce56bf74ace5c4bd527

Observation 8a9f5e7e-c181-4785-9944-88ab42f53c19 · outbound

This paper cites A fast algorithm for the minimum covariance determinant estimator,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A fast algorithm for the minimum covariance determinant estimator,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.132379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.848421Z digest=sha256:d935c8a67e6877285a84c94634078c1fe37db9c19a91dc3f32bfdf57b0f18bd2

Observation 52aa116f-3763-4952-abe9-5d30ab133021 · outbound

This paper cites Constrained Parameter Inference as a Principle for Learning.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Constrained Parameter Inference as a Principle for Learning

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:46:46.048695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:43.922954Z digest=sha256:30e49539eaa738252010248b5e010a64c81b8d2f0696675f9943cb09eef6c67d

Observation da98ca41-108e-4aa0-a860-9a99f119ac0a · outbound

This paper cites Correlations Are Ruining Your Gradient Descent.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Correlations Are Ruining Your Gradient Descent

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:43.973301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:43.973301Z digest=sha256:643017a2614363228f29ace7fe3a0821ba09be97c7fc14af0b42451cdedf77e7

Observation 5cc8bb8b-251c-4229-a380-0ebdefc15687 · outbound

This paper cites Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.103077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.041248Z digest=sha256:165228e1e2b61bdb5d1ebd6ccf3df426bc73359ad9488a6e570ab5961ccf4200

Observation d0511b9c-9973-48bc-b2b2-814de357ee05 · outbound

This paper cites The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.065548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.103524Z digest=sha256:e03d92c0e07faa34eb98208978e9b63faaebc2fa6b906d21d0a67feaff6d25a8

Observation 2a76dc74-31ee-4192-8bf6-5b88d8971d7f · outbound

This paper cites Detecting semantic anomalies,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Detecting semantic anomalies,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.035570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.188698Z digest=sha256:3ae80b7bc0b2e0b7727c8cd823c7fae8ca706820e3248ff303dd9cd29af36f24

Observation 8d042e88-79b1-4a27-b7e7-0af380b20680 · outbound

This paper cites Pidforest: anomaly detection via partial identification,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Pidforest: anomaly detection via partial identification,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.012854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.249840Z digest=sha256:93e815f24286e0e9abbaeac36028c34346ba5a902fb30acc390504742a493ae1

Observation 8c60928e-2441-4bb3-b534-f5939381d014 · outbound

This paper cites Temporal anomaly detection: calibrating the surprise,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Temporal anomaly detection: calibrating the surprise,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.983793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.313421Z digest=sha256:82864382842207474f071866143befe0e97754ae4eaa0a0dc4c3f4d4b3df8f9b

Observation 0764c098-a85b-4de0-af10-cdb576cbe042 · outbound

This paper cites Benchmarking unsupervised outlier detection with realistic synthetic data,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Benchmarking unsupervised outlier detection with realistic synthetic data,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.954603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.360753Z digest=sha256:03770e5f4b0893ab505c3b8a8db2712933dcf465da1b5beeac50571d3c85e9c3

Observation 8733819f-008a-40a7-aab8-5d7f22e7251e · outbound

This paper cites One-class active learning for outlier detection with multiple subspaces,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series One-class active learning for outlier detection with multiple subspaces,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.927423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.420131Z digest=sha256:afbf028e8ea133e23e853354cc3000ba0f6e817b33b902d6fb2232df1d54277d

Observation 4bc7d6d9-fd78-425f-96c0-894556538265 · outbound

This paper cites Active learning of SVDD hyperparameter values,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Active learning of SVDD hyperparameter values,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.900456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.495111Z digest=sha256:bf166d77b8cd35061fcb633cac235613f078fa8b329955a6763244f6b35320c1

Observation 91c1f9f1-a265-4d01-a1e7-41e8463853d1 · outbound

This paper cites On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.869233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.586929Z digest=sha256:8cae971670ee2a4e4ebe690a960964e83f024e8328802083b5c7ff31e2cee5c5

Observation d06e31ad-41d2-46ca-8eeb-148e29971a01 · outbound

This paper cites Pattern-based anomaly detection in mixed-type time series,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Pattern-based anomaly detection in mixed-type time series,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.751697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.710071Z digest=sha256:536c1ec3a000efe6c475c3d543cedf26d6ad3ef2a162882a91af632ceb4d1e23

Observation 06422bbb-b940-48f8-8666-afe58717ba9f · outbound

This paper cites Deep anomaly detection using geometric transformations,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Deep anomaly detection using geometric transformations,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.606727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.807428Z digest=sha256:ffff51dc5d3d1aaf099b41fc92c8f8dd99a64f76ebbb7d1e6f2a6fa76a81af29

Observation 9e3fe93c-3f3f-475b-a8b4-f089eadcefc0 · outbound

This paper cites Multi-view anomaly detection via robust probabilistic latent variable models,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Multi-view anomaly detection via robust probabilistic latent variable models,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.456246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:44.962129Z digest=sha256:616454402d397007adf5b92681eb98134e92a2325120cbe47a395780fd9f0e33

Observation 2275c5ad-7399-47b8-bf10-b07eda50acd2 · outbound

This paper cites Deep Semi-Supervised Anomaly Detection.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Deep Semi-Supervised Anomaly Detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:45.103851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:45.103851Z digest=sha256:bd0a08358a93354620dbb615245bf11b26bdcdc4f74095b8c45381c2605a1ae5

Observation 39f28995-9b49-4357-bec8-ea4078bbdcd9 · outbound

This paper cites EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.374846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.237051Z digest=sha256:4d8172f5e51fd68bdaf18fb8248bf79b4e770e0b016f5bf396b3718f1c8554ce

Observation 1d2311a6-9bbf-4553-bfa0-4e9278b074e7 · outbound

This paper cites Unsupervised detection of covariate shift due to changes in EEG headset position: Towards an effective out-of-lab use of passive brain–computer interface,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Unsupervised detection of covariate shift due to changes in EEG headset position: Towards an effective out-of-lab use of passive brain–computer interface,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:47.175720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.347990Z digest=sha256:3262a7b54692bc9795b0b4bd7e39439875130da81f7d40bedc3df2a4cd0577bf

Observation 5a5ad30c-961e-4a98-a12b-d37cde7e7f52 · outbound

This paper cites Evaluating latent space robustness and uncertainty of EEG-ML models under realistic distribution shifts,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Evaluating latent space robustness and uncertainty of EEG-ML models under realistic distribution shifts,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:46.989012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.429922Z digest=sha256:00e33676390df9772f470d03f76e5cf52a703cda01799cbfe5fb14315dea408f

Observation 8f3c86f3-0fe4-4bb8-bf0f-6c24ad637b2c · outbound

This paper cites Damadics benchmark.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Damadics benchmark

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:46.797780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.512479Z digest=sha256:f2e31a6333e4d238e50ed28d438d754cf4f447918f3726fd760cf8a4f1361989

Observation 090957f8-6289-43b1-9733-83676bfc7452 · outbound

This paper cites A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:46.594074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.565893Z digest=sha256:18bdb526243ebf1f23312572fed6bb688aeeb2125dc169f9ba723a1d0b58e3cb

Observation 0bb98f59-e6dd-49bf-9b88-c6a43d98107b · outbound

This paper cites A comparison of outlier detection techniques for high-dimensional data,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series A comparison of outlier detection techniques for high-dimensional data,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:46.375230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.641834Z digest=sha256:49f4adc5c4bbf4df7027fed0240ffbb9d3d53c9edc52bfee1df1fbae8db901d2

Observation 6beb8801-5d3f-4db4-bb94-5e3ca23c30f9 · outbound

This paper cites Pyod: A python toolbox for scalable outlier detection,.

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series Pyod: A python toolbox for scalable outlier detection,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:46.268956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:46:45.722785Z digest=sha256:20c74cb29845165181852c846f3e2683e382114094d812dd8b62b09d64253abc

Pith citing papers

No inbound Pith citation observations are available.