Paper Citation Record · LEDGER

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2505.14596.

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

pith.paper-citation-record.v1
2505.14596 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:26.805101Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T04:07:59.537908Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T04:14:29.635973Z

Reference resolution

44 of 44 outbound references displayed

verified exact13
verified fuzzy6
unresolved20
parse uncertain0
malformed identifier3
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2330a5a0-2a15-4d07-8efd-1a8a879d2a64 · outbound

This paper cites Zomaya, Sebti Foufou, and Abdelaziz Bouras.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Zomaya, Sebti Foufou, and Abdelaziz Bouras

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:36:30.739994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3107528-1613-4eed-9e5e-3df0d2805231 · outbound

This paper cites Ezugwu, Abiodun M.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Ezugwu, Abiodun M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:23.412571Z

Source-reported events for the cited work

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Observation 3fdb666a-6484-48c7-9046-3a7ad303d6fd · outbound

This paper cites A comprehensive survey of clustering algorithms.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering A comprehensive survey of clustering algorithms

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:23.494397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7277d2ea-c441-4ade-977d-f2f70c9e47ce · outbound

This paper cites Gao, Dominic Dwyer, Ye Zhu, Catherine L.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Gao, Dominic Dwyer, Ye Zhu, Catherine L

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T15:36:30.437411Z

Source-reported events for the cited work

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Observation 3e53e211-7cea-48fd-a47b-074b7270e360 · outbound

This paper cites Cluster analysis: A modern statistical review.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Cluster analysis: A modern statistical review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:23.807982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30acf6ee-29d6-4b6b-bbaf-cf6ccf5ca720 · outbound

This paper cites Bridging the Gap: A Decade Review of Time-Series Clustering Methods.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Bridging the Gap: A Decade Review of Time-Series Clustering Methods

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:23.958273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef192033-28a3-4dce-84c0-e1b3ccc2e54c · outbound

This paper cites Lag penalized weighted correlation for time series cluster- ing.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Lag penalized weighted correlation for time series cluster- ing

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T15:36:28.649255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1695f27-6969-4b9c-b6c6-61ed630e82f2 · outbound

This paper cites A review of two decades of correlations, hierarchies, networks and clustering in financial markets.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering A review of two decades of correlations, hierarchies, networks and clustering in financial markets

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T15:36:28.404273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e405e9df-63d8-4c97-a730-dc966c966da2 · outbound

This paper cites Analysis of similarity measures in times series clustering for the discovery of building energy patterns.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Analysis of similarity measures in times series clustering for the discovery of building energy patterns

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T15:36:28.158086Z

Source-reported events for the cited work

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Observation 8ed8a9b9-648d-4da8-a816-4616e73f74d2 · outbound

This paper cites an unresolved cited work.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0256c6-e750-477a-800c-fcb430a528a2 · outbound

This paper cites Enhancing cluster analysis via topological manifold learning.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Enhancing cluster analysis via topological manifold learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:24.596372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4c1400-3064-4ddf-927f-a3f75ac96baf · outbound

This paper cites The ucr time series archive.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering The ucr time series archive

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:24.645607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7fc777-d9e1-4d7d-b774-e3ef3aa38627 · outbound

This paper cites an unresolved cited work.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8caac0c-777f-41d2-b589-e5fc40d33a0f · outbound

This paper cites Odyssey: An engine enabling the time-series clustering journey.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Odyssey: An engine enabling the time-series clustering journey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:24.812746Z

Source-reported events for the cited work

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Observation 8d987f13-605d-4337-9792-02f2694a2c80 · outbound

This paper cites Niyogi, S.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Niyogi, S

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T15:36:28.038185Z

Source-reported events for the cited work

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Observation a2ec7735-5445-47d8-b225-ef1a4bd17799 · outbound

This paper cites Understanding and enhancement of internal clustering validation measures.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Understanding and enhancement of internal clustering validation measures

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:36:29.967068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5c9aecc5-be65-449e-911f-abb866ce2dba · outbound

This paper cites Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d86271-3ee4-47a5-9073-d468ddf1a856 · outbound

This paper cites Clustering method for time-series images using quantum-inspired digital annealer technology.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Clustering method for time-series images using quantum-inspired digital annealer technology

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T15:36:27.888325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76b0f2ca-20d8-48cf-a126-10ce06d83036 · outbound

This paper cites Williamson.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Williamson

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.523958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5c3eeef-8c03-4f2e-8ae7-b42f91355348 · outbound

This paper cites Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Synthcity: a benchmark framework for diverse use cases of tabular synthetic data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.363087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e4ebef9-2863-4147-86a4-ba8d9831d844 · outbound

This paper cites Scientific machine learning benchmarks.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Scientific machine learning benchmarks

Reference 21

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Source-reported events for the cited work

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Observation d4d772f2-96f9-4ce0-b3bf-b8a4f2b13cc1 · outbound

This paper cites Bake off redux: a review and ex- perimental evaluation of recent time series classification algorithms.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Bake off redux: a review and ex- perimental evaluation of recent time series classification algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:25.423765Z

Source-reported events for the cited work

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Observation 2debd37e-d29d-4594-bfad-639d8ebf56c7 · outbound

This paper cites Toeplitz inverse covariance-based clustering of multivariate time series data.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Toeplitz inverse covariance-based clustering of multivariate time series data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.224088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d4dea2d-b385-48c6-a61c-0f65702b1dcb · outbound

This paper cites Campello, and Eduardo R.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Campello, and Eduardo R

Reference 24

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Source-reported events for the cited work

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Observation 93633527-d7e5-4e98-9fa9-4a430321c5ee · outbound

This paper cites Pérez, and Iñigo Perona.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Pérez, and Iñigo Perona

Reference 25

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Source-reported events for the cited work

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Observation ca7d8d14-4818-4000-8cc2-4f05495f4f9d · outbound

This paper cites Yerbury, Ricardo J.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Yerbury, Ricardo J

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:36:29.562822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c3e0580-dcf5-4dd8-8ad0-599f0e0d2182 · outbound

This paper cites Analytical comparison of clustering techniques for the recognition of communication patterns.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Analytical comparison of clustering techniques for the recognition of communication patterns

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T15:36:27.722177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0737d83-e70f-4c88-bc22-63c0747c6dbe · outbound

This paper cites K-means properties on six clustering benchmark datasets.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering K-means properties on six clustering benchmark datasets

Reference 28

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Source-reported events for the cited work

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Observation 53502725-9fe4-448c-9ac6-afc96afa73e4 · outbound

This paper cites Thrun and Alfred Ultsch.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Thrun and Alfred Ultsch

Reference 29

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Source-reported events for the cited work

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Observation b04b80e2-3090-4d0f-936a-da6fd3ba175e · outbound

This paper cites van der Zant, and Mickael L.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering van der Zant, and Mickael L

Reference 30

Resolution: verified exact; doi, observed 2026-08-07T15:36:27.481902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc8581fd-1844-46ab-b53b-487c6e6e4aa2 · outbound

This paper cites Dance: a deep learning library and benchmark platform for single-cell analysis.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Dance: a deep learning library and benchmark platform for single-cell analysis

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T15:36:27.275770Z

Source-reported events for the cited work

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Observation dfe85990-40e5-4be9-a56f-8784c6fdcc0b · outbound

This paper cites Rousseeuw.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Rousseeuw

Reference 32

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Source-reported events for the cited work

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Observation 1becd064-04d8-49d7-a40d-21f388e2e0cf · outbound

This paper cites Davies and Donald W.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Davies and Donald W

Reference 33

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Source-reported events for the cited work

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Observation 53314f57-39cd-4557-b58c-c057e84bc4d2 · outbound

This paper cites A metric for covariance matrices.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering A metric for covariance matrices

Reference 34

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Source-reported events for the cited work

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Observation 4acd0a08-6967-4816-add0-a5355763b1a3 · outbound

This paper cites Time series classification with feature covariance matrices.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Time series classification with feature covariance matrices

Reference 35

Resolution: verified exact; doi, observed 2026-08-07T15:36:27.016894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20cbfa78-60dd-4cc6-a109-1b9331d9fd72 · outbound

This paper cites An evaluation of change point detection algorithms.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering An evaluation of change point detection algorithms

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.094844Z

Source-reported events for the cited work

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Observation f8b90857-fed7-4df5-8b09-59b4f0880205 · outbound

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CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 37

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Observation 191b6ea8-92dc-47c7-b32e-10b03373ed30 · outbound

This paper cites The MAE for these patterns in the complete variant can move a correlation structure out of their negligible and strong correlation coefficients grouping into the moderate range.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering The MAE for these patterns in the complete variant can move a correlation structure out of their negligible and strong correlation coefficients grouping into the moderate range

Reference 39

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:36:31.800487Z

Source-reported events for the cited work

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Observation fcd4a567-ed0e-4748-a51e-54ad3930817d · outbound

This paper cites an unresolved cited work.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:36:31.675882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee363b4b-76d9-4f3d-a915-1fadbc2ddedf · outbound

This paper cites Once these MRFs were learnt, we applied the trained models to the remaining 29 subjects without retraining.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Once these MRFs were learnt, we applied the trained models to the remaining 29 subjects without retraining

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.509786Z

Source-reported events for the cited work

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Observation 10e16e43-ea39-4c7e-a440-c5d1601ba394 · outbound

This paper cites This preserves the distinct correlation structure of each individual segment.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering This preserves the distinct correlation structure of each individual segment

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.310551Z

Source-reported events for the cited work

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Observation 332bba17-de99-41ba-9679-b1d673e2a542 · outbound

This paper cites an unresolved cited work.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 43

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Observation f2091a4c-7a77-4f4d-ba75-ac88c6b143fa · outbound

This paper cites an unresolved cited work.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Unresolved cited work

Reference 44

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Source-reported events for the cited work

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Observation 689e1f11-d0af-4c49-b4ea-cc6b0b1e4720 · outbound

This paper cites doi:10.1145/3097983.3098060.

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering doi:10.1145/3097983.3098060

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:25.536664Z

Source-reported events for the cited work

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Pith citing papers

Observation 6f66001c-2928-4749-86da-1f6742fa96c2 · inbound

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models cites this paper.

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.637569Z

Source-reported events for the cited work

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