Paper Citation Record · LEDGER

On the Role of Time Series Clustering in Traffic Matrix Prediction

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2604.26081.

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

pith.paper-citation-record.v1
2604.26081 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T14:29:59.634017Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

48 of 48 outbound references displayed

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verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fef169a-c7ca-4c77-8f40-3e4593778560 · outbound

This paper cites Internet trafﬁc matrices: A primer.

On the Role of Time Series Clustering in Traffic Matrix Prediction Internet trafﬁc matrices: A primer

Reference 1

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Observation 62c3c8fb-75e6-4949-a81b-80ca5f56670f · outbound

This paper cites Trafﬁc matrices: Balancing measurements, inference and modeling.

On the Role of Time Series Clustering in Traffic Matrix Prediction Trafﬁc matrices: Balancing measurements, inference and modeling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.376112Z

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Observation 00690592-1bc6-416c-8da5-6d5a9d6a4e45 · outbound

This paper cites Neutm: A neural network- based framework for trafﬁc matrix prediction in sdn.

On the Role of Time Series Clustering in Traffic Matrix Prediction Neutm: A neural network- based framework for trafﬁc matrix prediction in sdn

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.431882Z

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Observation 306c32e6-74c2-4e81-afa8-cb0b8ee04f78 · outbound

This paper cites Deep learn- ing based network trafﬁc matrix prediction.

On the Role of Time Series Clustering in Traffic Matrix Prediction Deep learn- ing based network trafﬁc matrix prediction

Reference 4

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Observation 9249f267-0d80-4086-8f57-84cf152c0062 · outbound

This paper cites Internet trafﬁc prediction with deep neural networks.

On the Role of Time Series Clustering in Traffic Matrix Prediction Internet trafﬁc prediction with deep neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.439208Z

Source-reported events for the cited work

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Observation 5b33de5c-0edc-4612-80f3-a24bd5f83dcc · outbound

This paper cites Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.

On the Role of Time Series Clustering in Traffic Matrix Prediction Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality

Reference 6

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Observation bb7f5033-6bcb-4b9a-a7c3-23d3dab4edd3 · outbound

This paper cites Available: https://arxiv.org/abs/2008.

On the Role of Time Series Clustering in Traffic Matrix Prediction Available: https://arxiv.org/abs/2008

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.386200Z

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Observation 651883d3-35da-4e77-b0db-2d553a1ddfc5 · outbound

This paper cites Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach.

On the Role of Time Series Clustering in Traffic Matrix Prediction Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach

Reference 8

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Observation a3e0b0cf-9e1b-462e-a284-7aa8964dfcec · outbound

This paper cites Zhang, Abilene network trafﬁc matrices , https://www.

On the Role of Time Series Clustering in Traffic Matrix Prediction Zhang, Abilene network trafﬁc matrices , https://www

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.421517Z

Source-reported events for the cited work

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Observation b60ebbc3-e8ec-40a1-86cf-2d8a4344421f · outbound

This paper cites Incorporating intra-ﬂow dependencies and inter-ﬂow correlations for trafﬁc matrix prediction.

On the Role of Time Series Clustering in Traffic Matrix Prediction Incorporating intra-ﬂow dependencies and inter-ﬂow correlations for trafﬁc matrix prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.338389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0883d626-f9ba-4227-b878-b69a53829bdb · outbound

This paper cites Internet trafﬁc matrix prediction with con- volutional lstm neural network.

On the Role of Time Series Clustering in Traffic Matrix Prediction Internet trafﬁc matrix prediction with con- volutional lstm neural network

Reference 11

Resolution: verified exact; doi, observed 2026-05-09T02:49:43.530714Z

Source-reported events for the cited work

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Observation dd73657c-e6b5-49db-8876-ee26dc6f7621 · outbound

This paper cites Improving internet trafﬁc matrix prediction via time series clustering.

On the Role of Time Series Clustering in Traffic Matrix Prediction Improving internet trafﬁc matrix prediction via time series clustering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:41:26.228477Z

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Observation 92278246-87ca-497d-81a3-e4ebee6d75ac · outbound

This paper cites Available: https://arxiv.org/abs/2509.

On the Role of Time Series Clustering in Traffic Matrix Prediction Available: https://arxiv.org/abs/2509

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.418822Z

Source-reported events for the cited work

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Observation 75974dbf-742d-49d3-b8f8-f8f40b86e9c4 · outbound

This paper cites Trafﬁc prediction for dy- namic trafﬁc engineering.

On the Role of Time Series Clustering in Traffic Matrix Prediction Trafﬁc prediction for dy- namic trafﬁc engineering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.407088Z

Source-reported events for the cited work

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Observation 50ea16f0-8457-46bc-bafe-f9c49f2c2d0d · outbound

This paper cites Learning to route.

On the Role of Time Series Clustering in Traffic Matrix Prediction Learning to route

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.435202Z

Source-reported events for the cited work

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Observation b0a46bfd-ec86-474d-81b3-af735a20b3a2 · outbound

This paper cites Towards trafﬁc matrix prediction with lstm recurrent neural networks.

On the Role of Time Series Clustering in Traffic Matrix Prediction Towards trafﬁc matrix prediction with lstm recurrent neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.355461Z

Source-reported events for the cited work

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Observation 90b76072-2077-497c-8bfd-e86779d439af · outbound

This paper cites Deep learning-based trafﬁc prediction for net- work optimization.

On the Role of Time Series Clustering in Traffic Matrix Prediction Deep learning-based trafﬁc prediction for net- work optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.346956Z

Source-reported events for the cited work

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Observation 72ce7778-092a-475d-8f82-2115ef07b24d · outbound

This paper cites Network trafﬁc predic- tion using recurrent neural networks.

On the Role of Time Series Clustering in Traffic Matrix Prediction Network trafﬁc predic- tion using recurrent neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.352561Z

Source-reported events for the cited work

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Observation b78858c6-ea43-42a1-a29f-90850d4e730e · outbound

This paper cites An ai-based trafﬁc matrix prediction solution for software- deﬁned network.

On the Role of Time Series Clustering in Traffic Matrix Prediction An ai-based trafﬁc matrix prediction solution for software- deﬁned network

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.401489Z

Source-reported events for the cited work

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Observation c9294517-bde3-4bd9-8aca-2355b45ed69e · outbound

This paper cites Flow- by-ﬂow trafﬁc matrix prediction methods: Achieving accurate, adaptable, low cost results.

On the Role of Time Series Clustering in Traffic Matrix Prediction Flow- by-ﬂow trafﬁc matrix prediction methods: Achieving accurate, adaptable, low cost results

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.344119Z

Source-reported events for the cited work

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Observation 82900132-f2ff-4770-b2ac-6b99bd7930a2 · outbound

This paper cites Network Trafﬁc Prediction Using PSO-LightGBM- TM.

On the Role of Time Series Clustering in Traffic Matrix Prediction Network Trafﬁc Prediction Using PSO-LightGBM- TM

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:41:26.231888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6438aaed-59db-46be-abe2-e3d46c9631e7 · outbound

This paper cites Pre- diction and correction of trafﬁc matrix in an ip backbone network.

On the Role of Time Series Clustering in Traffic Matrix Prediction Pre- diction and correction of trafﬁc matrix in an ip backbone network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.380226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b316ea04-e97c-46e5-bf60-9f1609553cf5 · outbound

This paper cites Trafﬁc matrix prediction based on deep learning for dynamic trafﬁc engineering.

On the Role of Time Series Clustering in Traffic Matrix Prediction Trafﬁc matrix prediction based on deep learning for dynamic trafﬁc engineering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.383303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03bb51cb-a0cc-40da-9573-d3cfc7d5be81 · outbound

This paper cites Time-series clustering - a decade review.

On the Role of Time Series Clustering in Traffic Matrix Prediction Time-series clustering - a decade review

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.335435Z

Source-reported events for the cited work

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Observation 92261ed1-0798-4fd8-ba05-f149fb6d0fed · outbound

This paper cites Time-series clustering – A decade review , journal =.

On the Role of Time Series Clustering in Traffic Matrix Prediction Time-series clustering – A decade review , journal =

Reference 25

Resolution: verified exact; doi, observed 2026-05-09T02:49:43.532540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3c8f85f-63a5-4a86-9803-fb483af8234d · outbound

This paper cites Shapley values of reconstruction errors of pca for explaining anomaly detection.

On the Role of Time Series Clustering in Traffic Matrix Prediction Shapley values of reconstruction errors of pca for explaining anomaly detection

Reference 26

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Source-reported events for the cited work

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Observation c6abd01e-17be-440d-9f10-c7bdd21e9c31 · outbound

This paper cites Characteristic- based clustering for time series data.

On the Role of Time Series Clustering in Traffic Matrix Prediction Characteristic- based clustering for time series data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.389145Z

Source-reported events for the cited work

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Observation 9f6547aa-5953-45fe-a58f-12c870d4a96b · outbound

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

On the Role of Time Series Clustering in Traffic Matrix Prediction Bridging the Gap: A Decade Review of Time-Series Clustering Methods

Reference 28

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Source-reported events for the cited work

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Observation 7ffe80f1-c30d-41b5-8cf0-bc7eda18f4ef · outbound

This paper cites Forecasting histogram time se- ries with k-nearest neighbours methods.

On the Role of Time Series Clustering in Traffic Matrix Prediction Forecasting histogram time se- ries with k-nearest neighbours methods

Reference 29

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Source-reported events for the cited work

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Observation 9126bb12-71cf-4545-a8d6-c70c91ded2bd · outbound

This paper cites Histogram-based cluster- ing of multiple data streams.

On the Role of Time Series Clustering in Traffic Matrix Prediction Histogram-based cluster- ing of multiple data streams

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.424735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf8b1bdb-af98-4bce-a76c-a22442e74712 · outbound

This paper cites Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.

On the Role of Time Series Clustering in Traffic Matrix Prediction Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.428407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d43dfe67-e3fb-48f4-a1e4-258a21971efb · outbound

This paper cites Feature-based classiﬁcation of time-series data.

On the Role of Time Series Clustering in Traffic Matrix Prediction Feature-based classiﬁcation of time-series data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.358704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb793553-537a-48cd-913b-a3c1c54bbe85 · outbound

This paper cites K-shape: Efﬁcient and accurate clustering of time series.

On the Role of Time Series Clustering in Traffic Matrix Prediction K-shape: Efﬁcient and accurate clustering of time series

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.416135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb362f79-08c6-4171-93fd-dd2d1c1cbec3 · outbound

This paper cites A hierarchical feature-based time series clustering approach for data-driven capacity planning of cellular networks.

On the Role of Time Series Clustering in Traffic Matrix Prediction A hierarchical feature-based time series clustering approach for data-driven capacity planning of cellular networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.373504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d157ddaf-73c0-4a48-b8c1-3cfa64364cf9 · outbound

This paper cites Application of agglomerative hi- erarchical clustering for clustering of time series data.

On the Role of Time Series Clustering in Traffic Matrix Prediction Application of agglomerative hi- erarchical clustering for clustering of time series data

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:41:26.250553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb8e1ecd-e5a2-4100-a37d-8627b92813b7 · outbound

This paper cites A study of hierar- chical clustering algorithms.

On the Role of Time Series Clustering in Traffic Matrix Prediction A study of hierar- chical clustering algorithms

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.413299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f5f7820-6cfe-4ad5-9457-5944c3a8026a · outbound

This paper cites The impact of linkage meth- ods in hierarchical clustering for active learning to rank.

On the Role of Time Series Clustering in Traffic Matrix Prediction The impact of linkage meth- ods in hierarchical clustering for active learning to rank

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T02:49:43.527267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67c2df9e-7a16-4701-b829-482a00a34c33 · outbound

This paper cites Time series clustering using fragmented autocorrelations.

On the Role of Time Series Clustering in Traffic Matrix Prediction Time series clustering using fragmented autocorrelations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.445997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5837c7ee-be16-4b62-9aeb-ba3e3f444dc6 · outbound

This paper cites Robust clustering for time series using spectral densities and functional data analysis.

On the Role of Time Series Clustering in Traffic Matrix Prediction Robust clustering for time series using spectral densities and functional data analysis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.410174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b36e602b-a97a-4863-8c49-96a4f3875df9 · outbound

This paper cites The jensen-shannon divergence.

On the Role of Time Series Clustering in Traffic Matrix Prediction The jensen-shannon divergence

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.404327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36367b2f-2fdd-4e97-a593-c7c98a110e74 · outbound

This paper cites Performance guarantees for hierarchical clustering.

On the Role of Time Series Clustering in Traffic Matrix Prediction Performance guarantees for hierarchical clustering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.365132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d08e8781-bc47-43be-9883-29728b1d4ba0 · outbound

This paper cites The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modiﬁed periodograms.

On the Role of Time Series Clustering in Traffic Matrix Prediction The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modiﬁed periodograms

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.368013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 08de0567-2f76-407b-89b0-05754705ba06 · outbound

This paper cites Providing public intradomain trafﬁc matrices to the research community.

On the Role of Time Series Clustering in Traffic Matrix Prediction Providing public intradomain trafﬁc matrices to the research community

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.371001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 414172cd-a3e8-417e-9530-f4db46c2808d · outbound

This paper cites Prophet: Trafﬁc engineering-centric trafﬁc matrix prediction.

On the Role of Time Series Clustering in Traffic Matrix Prediction Prophet: Trafﬁc engineering-centric trafﬁc matrix prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.341112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1425d260-a5b5-479e-bbf1-cec18fd3d296 · outbound

This paper cites Comparing partitions.

On the Role of Time Series Clustering in Traffic Matrix Prediction Comparing partitions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.392061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d3417e3-8802-4deb-ac7a-8b6061323319 · outbound

This paper cites Cluster ensembles—a knowl- edge reuse framework for combining multiple parti- tions.

On the Role of Time Series Clustering in Traffic Matrix Prediction Cluster ensembles—a knowl- edge reuse framework for combining multiple parti- tions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.349665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56a8bff8-b43e-44d9-bf5f-e179ab6e2a66 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

On the Role of Time Series Clustering in Traffic Matrix Prediction Adam: A Method for Stochastic Optimization

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-12T00:41:26.236020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 45daa6ff-1da6-479c-b91e-422c1108ec3b · outbound

This paper cites Finding a ´kneedle.

On the Role of Time Series Clustering in Traffic Matrix Prediction Finding a ´kneedle

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:23:32.361848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.