Paper Citation Record · LEDGER

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.07702.

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

pith.paper-citation-record.v1
2505.07702 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:16:34.007362Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

42 of 42 outbound references displayed

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verified fuzzy17
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acb48aec-9639-46a7-a062-0fc4a1a243cc · outbound

This paper cites Khan, M.J.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Khan, M.J

Reference 1

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.199566Z

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Observation 68864a62-47c1-4158-a413-13e8bd81c965 · outbound

This paper cites Urgent action needed as global diabetes cases increase four-fold over past decades (2024).

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Urgent action needed as global diabetes cases increase four-fold over past decades (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.238049Z

Source-reported events for the cited work

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Observation ecc8b4a6-1b76-489e-9570-9c9c5fe65e4b · outbound

This paper cites Puangmee, Nursing of diabetic retinopathy in type 2 diabetes patients.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Puangmee, Nursing of diabetic retinopathy in type 2 diabetes patients

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.222454Z

Source-reported events for the cited work

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Observation f2e576ac-ffd6-4c72-a917-9c625e5f2623 · outbound

This paper cites Schorr, H.P.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Schorr, H.P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.205143Z

Source-reported events for the cited work

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Observation 8a4a6ad3-dfc8-4da8-9d67-2b8d7e73d50c · outbound

This paper cites Leslie, R.C.W.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Leslie, R.C.W

Reference 5

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.183470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7577623d-60ca-4627-adf3-51217083cedd · outbound

This paper cites Prasad, L.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Prasad, L

Reference 6

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.166422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f50af3db-5565-401c-a03c-9164669fef8c · outbound

This paper cites Regional Office for the Western Pacific, Asia Pacific Observatory on Health Systems and Policies,Thailand health system review, vol.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Regional Office for the Western Pacific, Asia Pacific Observatory on Health Systems and Policies,Thailand health system review, vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.188110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e98ad85e-99ee-442d-b49d-446b6659a6d5 · outbound

This paper cites Kakandee, A.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Kakandee, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.170346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ed9831a-b413-467e-956a-75a46c1e8525 · outbound

This paper cites th/en/news-events/siriraj-hospital-thailands-excellent-medical-hub/ (2022).

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients th/en/news-events/siriraj-hospital-thailands-excellent-medical-hub/ (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.153264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1daff91-e730-41d8-a92e-f86a8503fc0c · outbound

This paper cites Sammut, G.I.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Sammut, G.I

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.149063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93ee0c28-ab1a-4409-8293-d4fe21ecc6e1 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation b461183b-ca1f-4450-b77a-518fb19fd629 · outbound

This paper cites Dominguez Mantes, D.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Dominguez Mantes, D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.118884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86dc5109-69fc-4ad0-9875-5314992813c1 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:16:35.100574Z

Source-reported events for the cited work

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Observation 8440cbb2-3dc9-4d41-afb6-ff262024bb59 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:16:35.083624Z

Source-reported events for the cited work

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Observation 49e32040-964e-472c-b515-dfb6f2ed62c8 · outbound

This paper cites Warren Liao, Clustering of time series data—a survey.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Warren Liao, Clustering of time series data—a survey

Reference 15

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Source-reported events for the cited work

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Observation 40027b9e-769f-42db-93bc-64711e6f17d3 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:16:35.067974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6df2ef9-abcd-47af-9226-03ef1da7e389 · outbound

This paper cites Alsalem, A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Alsalem, A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.051200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 767e3380-b97a-4704-929e-e6b6218bbde7 · outbound

This paper cites Pattarin, S.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Pattarin, S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.035164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26a98b31-5006-43ea-b5b6-93be34aa58d4 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation af47a908-2699-44a0-aa9e-15ed3b511512 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation a168bf8c-4b1a-447a-bb3b-068ea5d3f349 · outbound

This paper cites Saito, H.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Saito, H

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.110528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdc3e05d-6ecc-41c7-9114-cdafe26e8416 · outbound

This paper cites Temporal-Clustering Invariance in Irregular Healthcare Time Series.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Temporal-Clustering Invariance in Irregular Healthcare Time Series

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:16:34.821163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e61bb18-7f61-4672-9f47-68fd594f5f29 · outbound

This paper cites Bhavani, L.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Bhavani, L

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.093522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4352c19a-130f-40fd-b6c6-da04a2244053 · outbound

This paper cites Borges, M.P.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Borges, M.P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:35.002292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9a93c29-b6c2-40d9-ad00-f380c4a400a9 · outbound

This paper cites Velichko, N.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Velichko, N

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T22:16:34.984896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d45f63a-a755-4eda-8bd5-ed252361d6e6 · outbound

This paper cites Sakoe, S.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Sakoe, S

Reference 26

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Source-reported events for the cited work

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Observation 8fd49df8-7552-4ecf-b663-459aad8be477 · outbound

This paper cites Cuturi,Fast global alignment kernels(Omnipress, Madison, WI, USA, 2011), ICML’11, p.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Cuturi,Fast global alignment kernels(Omnipress, Madison, WI, USA, 2011), ICML’11, p

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.967897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ba3f17d-d252-4680-8110-14e8558bae81 · outbound

This paper cites an unresolved cited work.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Unresolved cited work

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T22:16:34.712759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53648879-a66b-4d2d-b2a7-50069aae3b64 · outbound

This paper cites Chandereng, A.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Chandereng, A

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T22:16:34.950604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8501729e-1bd1-4e36-a70e-913e2d34dce4 · outbound

This paper cites Sibson, Slink: An optimally efficient algorithm for the single-link cluster method.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Sibson, Slink: An optimally efficient algorithm for the single-link cluster method

Reference 30

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Source-reported events for the cited work

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Observation 50454b32-53e0-43aa-b8df-a1d3b489a34f · outbound

This paper cites Defays, An efficient algorithm for a complete link method.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Defays, An efficient algorithm for a complete link method

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:16:33.953227Z

Source-reported events for the cited work

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Observation 08a48ec7-2896-4e3a-adfa-e45f3c637ba5 · outbound

This paper cites Ester, H.P.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Ester, H.P

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.930895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ec5610c-afbf-4158-bba8-603d4f720cdd · outbound

This paper cites Ankerst, M.M.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Ankerst, M.M

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.912869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dc65824-cf5f-424b-a883-f08933ced908 · outbound

This paper cites Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:16:34.617462Z

Source-reported events for the cited work

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Observation 9235c6fd-e123-4164-9667-8a33d884edab · outbound

This paper cites RStudio, PBC., Boston, MA (2020).

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients RStudio, PBC., Boston, MA (2020)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.895235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e028c0c-d8a2-4cf5-a796-b3ac27662dfd · outbound

This paper cites Sard´ a-Espinosa, Time-series clustering in r using the dtwclust package.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Sard´ a-Espinosa, Time-series clustering in r using the dtwclust package

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T22:16:34.054175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28fb775b-2783-4953-8921-d564abb06f0c · outbound

This paper cites R package version 1.0.0 24.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients R package version 1.0.0 24

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.877099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b236fbfe-093b-4bcb-b709-57d9d2ccb938 · outbound

This paper cites Wiroonsri, Clustering performance analysis using a new correlation-based cluster validity index.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Wiroonsri, Clustering performance analysis using a new correlation-based cluster validity index

Reference 38

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T22:16:34.589691Z

Source-reported events for the cited work

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Observation bcbac8b2-5f99-4683-aea0-93f6e4ebff20 · outbound

This paper cites Preedasawakul, N.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Preedasawakul, N

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023f630a-911b-4a3c-9451-1d34db00f32c · outbound

This paper cites Lloyd, Least squares quantization in pcm.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Lloyd, Least squares quantization in pcm

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.857117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad45e3a2-d5f0-43cd-9f66-16e03c617f9b · outbound

This paper cites MacQueen,Some methods for classification and analysis of multivariate observations(1967).

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients MacQueen,Some methods for classification and analysis of multivariate observations(1967)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:16:34.839490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4b53331-adf7-4ddb-b77e-9a3ace7d746f · outbound

This paper cites Rand, Objective criteria for the evaluation of clustering methods.

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Rand, Objective criteria for the evaluation of clustering methods

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:16:34.007362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.