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Paper Citation Record · LEDGER

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.15762.

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

pith.paper-citation-record.v1
2502.15762 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:59:01.226142Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

  • verified exact9
  • verified fuzzy7
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c856107-2eea-414a-befd-a723008c0aee · outbound

This paper cites Internet of Things (IoT): A vision, architectural elements, and future directions,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Internet of Things (IoT): A vision, architectural elements, and future directions,

Reference 1

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unresolved
no resolver link, observed 2026-08-07T19:59:01.156159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4fe8dbc5-01c0-4100-abc9-ad5b584a3a4e · outbound

This paper cites Unlocking the potential of the Internet of Things,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Unlocking the potential of the Internet of Things,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.513274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation be37a637-ffff-4bd6-a8b9-31f018a3b3f1 · outbound

This paper cites Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions,

Reference 3

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verified exact
doi, observed 2026-08-07T19:59:01.337032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f57ee7b4-90db-41c3-a15f-082174f275ff · outbound

This paper cites Diabetes around the world in 2021.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Diabetes around the world in 2021

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.504329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3127274a-d23c-4783-9147-70fcc33b0027 · outbound

This paper cites Fogbus2: a lightweight and distributed container -based framework for integration of iot - enabled systems with edge and cloud computing,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Fogbus2: a lightweight and distributed container -based framework for integration of iot - enabled systems with edge and cloud computing,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.495570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3523a303-9192-480c-b5d0-b20f4e765ad7 · outbound

This paper cites Hennebelle, L.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Hennebelle, L

Reference 6

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verified exact
doi, observed 2026-08-07T19:59:01.327798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f23288d4-8b51-42ea-9061-ee547f7845d3 · outbound

This paper cites Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms,

Reference 7

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unresolved
no resolver link, observed 2026-08-07T19:59:01.177989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:59:01.177989Z digest=sha256:8120e1a5b22e759766c108d9309593a8a0bcaebeae0355e02fd693395ffcb2a5

Observation 4d2c4acf-a614-4978-9940-bfe02c787444 · outbound

This paper cites Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study,

Reference 8

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verified exact
doi, observed 2026-08-07T19:59:01.313596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 77b9a381-1707-4a65-ac6d-fc97d04d4425 · outbound

This paper cites Predicting type 2 diabetes using logistic regression and machine learning approaches,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Predicting type 2 diabetes using logistic regression and machine learning approaches,

Reference 9

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unresolved
no resolver link, observed 2026-08-07T19:59:01.184427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4db25be2-a2ba-477a-bd61-21e476170451 · outbound

This paper cites A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus,

Reference 10

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verified exact
doi, observed 2026-08-07T19:59:01.299088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2eaad684-0d1d-4889-a38b-0602c85d3dca · outbound

This paper cites Machine Learning Models for Data -Driven Prediction of Diabetes by Lifestyle Type,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Machine Learning Models for Data -Driven Prediction of Diabetes by Lifestyle Type,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.486540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ef8ff5fb-4d7e-44ff-96e3-0373109587e5 · outbound

This paper cites Machine learning-based application for predicting risk of type 2 diabetes mellitus (t2dm) in saudi arabia: A retrospective cross -sectional study,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Machine learning-based application for predicting risk of type 2 diabetes mellitus (t2dm) in saudi arabia: A retrospective cross -sectional study,

Reference 12

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metadata mismatch
raw_fallback, observed 2026-08-07T19:59:01.444339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0dfb3747-7960-4981-b5d8-b10bba94bef7 · outbound

This paper cites Voting Classification -Based Diabetes Mellitus Prediction Using Hypertuned Machine -Learning Techniques,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Voting Classification -Based Diabetes Mellitus Prediction Using Hypertuned Machine -Learning Techniques,

Reference 13

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verified exact
doi, observed 2026-08-07T19:59:01.289630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 16f0569a-2447-4045-8e32-11e2d01912a2 · outbound

This paper cites Investigating health-related features and their impact on the prediction of diabetes using machine learning,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Investigating health-related features and their impact on the prediction of diabetes using machine learning,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T19:59:01.200706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0b36b01-406a-4c99-b76d-03eaeca65650 · outbound

This paper cites Early detection of type 2 diabetes mellitus using machine learning-based prediction models,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Early detection of type 2 diabetes mellitus using machine learning-based prediction models,

Reference 15

Resolution
verified exact
doi, observed 2026-08-07T19:59:01.273777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0cc29fb8-63d0-4f86-b894-0d76d7eb4101 · outbound

This paper cites Prediction of type 2 diabe tes based on machine learning algorithm,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Prediction of type 2 diabe tes based on machine learning algorithm,

Reference 16

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verified exact
doi, observed 2026-08-07T19:59:01.264057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation afd3b278-cccd-4fd5-8f82-1f3c6ed80e0f · outbound

This paper cites Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction

Reference 17

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verified exact
local_arxiv, observed 2026-08-07T19:59:01.354728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5f9a6f1b-561d-4ee6-bfa8-ac04967dc689 · outbound

This paper cites Association of risk factors with type 2 diabetes: A systematic review,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Association of risk factors with type 2 diabetes: A systematic review,

Reference 18

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verified exact
doi, observed 2026-08-07T19:59:01.253942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation baaadc31-89af-4ee4-9fde-f3251e4eda02 · outbound

This paper cites SMOTE: synthetic minority over -sampling technique,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning SMOTE: synthetic minority over -sampling technique,

Reference 19

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63bcd004-3a09-42e6-a61e-6f81d2d5f3dd · outbound

This paper cites Gene selection for cancer classification using support vector machines,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Gene selection for cancer classification using support vector machines,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.472220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c9d4c0a1-a456-4bd6-834c-68b49e5fecfd · outbound

This paper cites Scikit-learn: Machine learning in Python,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Scikit-learn: Machine learning in Python,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.462904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 82bd3928-7f95-44b3-b2b5-dd6e134a2a1a · outbound

This paper cites Using the ADAP learning algorithm to forecast the onset of diabetes mellitus.,.

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Using the ADAP learning algorithm to forecast the onset of diabetes mellitus.,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T19:59:01.453698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.