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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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unresolved
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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:42.290099Z digest=sha256:730eba7054f98dc94aa07c8e695a53c0463a14a9f37132283d20ff2ed5d9a2f2

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:42.795344Z digest=sha256:737a673687b265d81db2a7fa424597b5220a91e851cb91efc65b04ded1f84356

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:42.939524Z digest=sha256:8db7bfe72862ec34f250a390adca0e0688ac09eae6dce7e798ff757e0702d3fa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:42.980677Z digest=sha256:d48c4f86b77ca94c4f5ca796a8cd56deecc538d8cf477bafc289367e5517b45e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.035342Z digest=sha256:edbad7b1ef4e4530abe85544becdc1e1884f99137d98f4ce1acbbe6d47d51842

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.100438Z digest=sha256:ee26269f279145b99591e56ce1df67840f82e75ddfc4b6c7b4db72424d4a072d

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.279263Z digest=sha256:2d3957a30f7e92c9519f7c25a0533f7483f76e185f46430ed1bcbd67de088c78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.332090Z digest=sha256:fb0acc5352301d583d7621c16a6bafd53e786f156df8b372367eec56c468daed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.393986Z digest=sha256:242ef83be747873b85339963414aa45ce8e81dcad1e46b86d83bf4ddf011113e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.467435Z digest=sha256:6ec7d9f4dcabd348cfa76c474d8a4640b6f3fa02005c294c0e8cf8d130b20b68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.535310Z digest=sha256:359f270961452252aec12021158578c7670742659dc49d689a525ea36b639ee7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.581606Z digest=sha256:0cc36868b240c5c7f4049c91bb20f61a59b8fa38e19d043433934b38a9f0c002

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.633325Z digest=sha256:e54fef33016fdd58cd37f7d438a9cf466459969d5fb22bd40f6e39fc6892cc9f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.716273Z digest=sha256:5c35e065072aa7272e30ee1799ce0ca7031c76b5eceab2b1aae8d315d708650a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.784457Z digest=sha256:2c1e791ead45bc2931e23b31a824bd107a8ab311eae560d4001427dd06512d51

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.848421Z digest=sha256:f0080ee743428f16bf9e36cdcd4cf0c3ee0d584d49af39397114ee4c7b2d7305

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:43.922954Z digest=sha256:680f558e0b21924fc105b388c95e57b4ef25f923d2509e78f6558afeaa994c85

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=sha256:91c7da42d61aa7b8b5fb2247d5a99e873596c3604fccbb618051fec5f668080a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.041248Z digest=sha256:f584b9143464741e6032e0c2f8f5ccbba5f735773311187f8ab41686697465b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.103524Z digest=sha256:17a05c55389ddf8b3a83f1c5a48882f65e8d4920d62e4d4cdd734894df6f8306

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.188698Z digest=sha256:c3f41ef9b46518001017386036db418e4f80713daf082152e2f1672cd9c03a51

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.249840Z digest=sha256:fd3ccae19b5ba9aed90f3be5877d3cc38cfd758a33515d3504fccc7cb5bb3107

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.313421Z digest=sha256:1603b070493c8faeb76004a0fe03cc45257c34a6507b6238b46e07bb9c6fa127

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.360753Z digest=sha256:53c31efe1e4b6868ea43a42cc9922da58959fc290614402c32a24e07e2ea81d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.420131Z digest=sha256:e43a5e58731a1c5ff1e868df6df4c7be5394b3a42db8986c67ba524414d40b8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.495111Z digest=sha256:f27853f7f3cd63690da06875056b3d4760da98bc0a21204e486ec645e43da619

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.586929Z digest=sha256:c7b916c9c3c0b87e30fab323c4d0d5289f5ed93e14f17134c1afb311fae966aa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.710071Z digest=sha256:4dcfea8c0a6c9e5cf4a5ef5d4d9a5ad0ba21e5c335dd31942c7840692d134ad1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.807428Z digest=sha256:4dff3749e413b4bae19d60d626b8c877f778e7cc3202826fbfaf50bc02082b0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:44.962129Z digest=sha256:26814243eac0b2a018c68484da76ead99c79a863c1d0e95a66282704d5e4dd36

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:fe9a2397f8e6b52713e281f5d553883071449dbf56834cd25924fcaa8d8b9526

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.237051Z digest=sha256:7f401465ccdaca132cd5d399236a20d5ec5ff945caae57eb84df477b92210823

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.347990Z digest=sha256:a39fa666b35cfc230dff147416be3dec97280f8cf1f96797f657af3d179f005e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.429922Z digest=sha256:3ac5740a4566dbf14f68c942f006e535204ab9cda90b88752f463d7ec6942aab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.512479Z digest=sha256:1fb4c0a706ba236d98dafaf17a8e250e03d2a175b99d211f365f611de856422c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.565893Z digest=sha256:8b0a70e8700ab19096d492ce653c1f1dbc07f15d18ffb873b44835b25c774a1d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.641834Z digest=sha256:944ea9cbb6c329b10d22a168ac874be10ab8018cb4e4610162277c69fad534e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:46:45.722785Z digest=sha256:a0a2bf5885485346ba4f2077f5865e0001f0dc910ceeaa4fbd0f3adefc43e8d7

Pith citing papers

No inbound Pith citation observations are available.