Pith. sign in

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 2026-08-08T06:32:00.761636+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.256086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.368183Z digest=sha256:a2ef7e1acf78972c503921b3df48e50cd64575d8e31125c0bb11cd881612d454

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.220136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.426962Z digest=sha256:87088bd82478a88e976765efb9f01eea33308077a86e0f9e50a4b7a20a4db865

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.190561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.476558Z digest=sha256:985b52390072536f06656a37456f4bda9e8e11cb9404afa7c3cad4c4976e67d1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.142809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.538426Z digest=sha256:3653bb0e23b76e7a6d46a7133bc53562bc9ab5e552411dc9c7f996569ab9034c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.111476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.598633Z digest=sha256:18f896918ea495eb6c226cb612713720878a29666a243626d417d88bf630a243

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.082831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.650780Z digest=sha256:cda69e57457d661c5d1992cf945ad9c263981d6d531e073b11625313661b690f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.040607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.724873Z digest=sha256:02dddcb2466d86f2129405f998c13133ccfb0f31ac0e39784d66706b118a9a2a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:49.008345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.782956Z digest=sha256:4092200a09cf350ccbdd7f6884633709713125626afa718216b88da663f433c7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.964883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.910490Z digest=sha256:55e66582f47f4a53aca9ea49a977eb2f45f2181a59cab3ca43d9f6820a8306ab

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.931110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:41.981898Z digest=sha256:7b5c19624ed44f2fe8f512dd8c491e119da50a3feeb6cd62cb56d9b1d90adde6

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
raw_fallback, observed 2026-08-06T18:46:48.892805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.059049Z digest=sha256:6f81fb6171751ac2d8163689fa84562ab80f04c44efc17d5be46a3d6aaafd0b0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:42.110900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:42.110900Z digest=sha256:ef9208035a30632cbdc33fc6f97bfa32ce61977f06d16ce6d8f6d1bb1cf9eea6

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
raw_fallback, observed 2026-08-06T18:46:48.863484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.186564Z digest=sha256:65af1ec8a4672f8597457ec1ff01ab90fb54b526323404438830bc4b070c3323

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.290099Z digest=sha256:5e8b35fd0305ce927eb79359ce4333976757a84a6faafdc1318acf974967a98b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.344956Z digest=sha256:8fcace5a7c73951c2d533510613b323a8bafb8b0c6489d0979b88f6b291d690a

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
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:48.770010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.420575Z digest=sha256:6e69bf052624b4a7be3fff0f80c2bea6d4190e316df2d2a580bdf4397ed3af19

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
raw_fallback, observed 2026-08-06T18:46:48.742630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.493919Z digest=sha256:f8b8d78c1d335fe084cb988f2dfa805a3709a7fc74fb320da8c4fd36bb0e0bc2

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
raw_fallback, observed 2026-08-06T18:46:48.711643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.546966Z digest=sha256:5e69730d4ef90b71f682829ea375f1dc76bb67b7898e9078a15acbaeb53865eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.633026Z digest=sha256:06ac9f195d692ec050fe1c4097c360d8079136b0fb997fdbe506f5deb50d5686

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
raw_fallback, observed 2026-08-06T18:46:48.642130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.709436Z digest=sha256:04bf8a9f1068ec365e277ad0a366299c2b985df74064a6c35ce12ada65bfc35b

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
raw_fallback, observed 2026-08-06T18:46:48.608473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.795344Z digest=sha256:55d53e227be8f7b7add1ceca3f2a3c3f37f3609e177b1ceb1fdebddd3f710394

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.861360Z digest=sha256:95a3b5a01b3c31c4430b468b3e0026a29ed1476a20841472652815f59ae412ee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.939524Z digest=sha256:8171732a2d4b8b47968bfc6efd016097eb375ac30bc7ad46bfe1adf2fb9f79af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:42.980677Z digest=sha256:a95fd4c05d8d1c2cb9b016e986addcb67d31633bd5147ff0078483c752609689

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.035342Z digest=sha256:3f876b40a6f0b963864ade71e82d43803fbd0839f1daf70117f5f4f476f09f02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.100438Z digest=sha256:a46ccbd91d9f883961c7c760f4148240e8882b92e1eb5957dfa886a287d67566

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.144650Z digest=sha256:93ebe4775b2dc4a4452bd32425187d6fd00a527b15e6dbca0a652ebb782ed3ed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.200494Z digest=sha256:8d7f3f71457bdf7541a85475421a899fd80eaf76f9e46aeddd9f42c2436a8234

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.279263Z digest=sha256:6c19d19960f6ceb0ea0791187383378ab215d07714861602dc78c39fe2591f51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.332090Z digest=sha256:724aa899597fb671aadd4cd6fc4f0eeb87cbb43890584fdc7c51d67048e7bba2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.393986Z digest=sha256:4500bfb015ff9c14c50082edc3f3c4ece216c626306864f5f72faa8436a6baee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.467435Z digest=sha256:54f121afe9dd151fd77118787965a8360b667efeded59bfebe9127512c2f8047

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.535310Z digest=sha256:0e490234f22a8ff76a1ac0f803219456b8626a440e427ad20bee54515a375924

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.581606Z digest=sha256:8e480137bfbf28c168d9d7c592a9c08b6dd703753fc34119ee17915fdb15b88a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.633325Z digest=sha256:d60b61279b7ab1af1088f52c14702d75bff3620edbe8fff5acf959d5e94aa4e4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.716273Z digest=sha256:963765c4e38d8cfc70a2df3752add4f678b5d70662e4db1f32f57db9299c1fc0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.784457Z digest=sha256:6e8652545328f9114a3849f5d865eb0eabca8da1410f4f57ac10e1c9d1f8607e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.848421Z digest=sha256:dad7bcedb619a3fba04e1d8390083697751bfa108da34e73b5d0676f8a2fc986

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:43.922954Z digest=sha256:23a1c6de4d557b4b02e8e7c46c0e5d558b26f4699260a74d0eda4956e2502736

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.041248Z digest=sha256:c4828ccfa5ea48d47a8892a511406e4c1d946f981562e0aecdf09eb61c4e1cc0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.103524Z digest=sha256:73098f2ab9b1f05a041403ea14fa2a154c9285eb19d39edf2289157fa23a5ae2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.188698Z digest=sha256:670012d9b6cc88a66ae1fd63c775bb2ec55938aa7a3820b818186b7a8351d4e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.249840Z digest=sha256:228d4056b8764d1d4e6d067ecee793d2888da2f65649a3fe3aa845eb6254f183

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.313421Z digest=sha256:b087af9041a4d5b1e3a8a6b08ec5b2d3afa08c4c042c6a1ea30a01cbd1fa005f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.360753Z digest=sha256:91adfa26db44fc04720b513615fd9205bb5d0b98aab76bca792002f1eaef43a2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.420131Z digest=sha256:951177e62414bac4ae06e3d254f26bfb48d3c4b57fa49b3b69b0af9eac93180a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.495111Z digest=sha256:e4d35f3c4820ee57a3ad80bbd20b7d683acb99499dd480e4ed4e4442ababc229

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.586929Z digest=sha256:f2759b0e2536acb2167ad2ba6828720b7972b31c25e26a267cdb14366e07a6cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.710071Z digest=sha256:86f9a1cbc6301c760b4fed936371c08ecd0f11bb711f0459369d07d043e756fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.807428Z digest=sha256:6fe645a85e3f818e502ac9ffd38694fbdf5c81191eae689828645a3159aa81ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:44.962129Z digest=sha256:01d824b4a75fb16ba642e57c0dea018b0390751f06ff3604a26ac285292b3f26

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.237051Z digest=sha256:6ccecc14ecf26d1d5089ee231872c1aa3113e0dce92fbb3730973d8df886f332

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.347990Z digest=sha256:512d735a76235e8ab842604105a35a8330b8981be078107d21416780f68b7119

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.429922Z digest=sha256:2ac69f266e3d4f39c1467fc210b951beb0fdadb37fb17bd86ba42f921aae0d3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.512479Z digest=sha256:719ce6c8560abc54db0dbc99282dc4572657bd15548d17fd9a3e8348466418ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.565893Z digest=sha256:a1ff4fbea474fe4abb37a8ab7bc845593d7141821d04efab335ee66803a4b951

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.641834Z digest=sha256:7b4d5dde402215d74a3774d74ca8fc93ea87b80ee9897805aee8758c7aeb6c08

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:45.722785Z digest=sha256:4f7cd1e29faa2850eaf39b4bd9d9e78d0607ebdf5d7229f314a008b5661575f4

Pith citing papers

No inbound Pith citation observations are available.