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Paper Citation Record · LEDGER

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.21117.

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

pith.paper-citation-record.v1
2607.21117 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:27:23.981232Z

measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation f07bc3d2-b843-477e-99b9-8aad8d0f929b · outbound

This paper cites Diagnosis and classification of diabetes mellitus,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Diagnosis and classification of diabetes mellitus,

Reference 1

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Observation bb57ea0d-8389-4e85-b0ec-7219103520c1 · outbound

This paper cites Perioperative hyperglycemia and risk of adverse events among patients with and without diabetes,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Perioperative hyperglycemia and risk of adverse events among patients with and without diabetes,

Reference 2

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Observation c3ab37b2-ed12-408a-85a7-3cb7d69b32ce · outbound

This paper cites Hypoglycemia in diabetes,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Hypoglycemia in diabetes,

Reference 3

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Observation ad2de21c-2423-4073-8053-1aaf62822a2f · outbound

This paper cites Arima models,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Arima models,

Reference 4

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Observation a72fee2d-f1e1-4a56-a917-4fbd40eaea36 · outbound

This paper cites Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks,

Reference 5

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Observation 9548f27b-515d-4d3b-9bfd-c9a654c1c21b · outbound

This paper cites A deep learning approach for blood glucose prediction of type 1 diabetes,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes A deep learning approach for blood glucose prediction of type 1 diabetes,

Reference 6

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Observation 55edea8d-080f-43e1-8412-0067b297af16 · outbound

This paper cites Blood glucose prediction with variance estimation using recurrent neural networks,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Blood glucose prediction with variance estimation using recurrent neural networks,

Reference 7

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Observation a50215fb-b7e3-4511-a5fb-e8d021790345 · outbound

This paper cites Convolutional recurrent neural networks for glucose prediction,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Convolutional recurrent neural networks for glucose prediction,

Reference 8

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Observation 0a205485-da0d-4771-8e81-d74269280493 · outbound

This paper cites Bgformer: An improved informer model to enhance blood glucose prediction,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Bgformer: An improved informer model to enhance blood glucose prediction,

Reference 9

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Observation 6099d2b3-7476-48b7-b5db-c45fb62da72d · outbound

This paper cites A hybrid transformer-lstm model apply to glucose prediction,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes A hybrid transformer-lstm model apply to glucose prediction,

Reference 10

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Observation 06aafca8-618b-437c-a72d-5d395ed233c1 · outbound

This paper cites Deep multitask learning by stacked long short-term memory for predicting personalized blood glucose concentration,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Deep multitask learning by stacked long short-term memory for predicting personalized blood glucose concentration,

Reference 11

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Observation 0822b3e9-f64c-4147-8d4e-caed827482ca · outbound

This paper cites Improving detection of type-1 diabetes adverse events using gru networks,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Improving detection of type-1 diabetes adverse events using gru networks,

Reference 12

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Observation 2b20d533-a646-4b75-ab73-a3215251045f · outbound

This paper cites Predicting adverse events for patients with type-1 diabetes via self-supervised learning,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Predicting adverse events for patients with type-1 diabetes via self-supervised learning,

Reference 13

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Observation b20610d2-2182-4c57-946f-c4cf77069955 · outbound

This paper cites Prediction of blood glucose levels in patients with type 1 diabetes via lstm neural networks,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Prediction of blood glucose levels in patients with type 1 diabetes via lstm neural networks,

Reference 14

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Observation a08d35e5-3ee9-444a-b6d0-8d3664220c73 · outbound

This paper cites A deep learning approach to diabetic blood glucose prediction,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes A deep learning approach to diabetic blood glucose prediction,

Reference 15

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Observation 15e0360e-e506-43a8-99c6-a17895088f3c · outbound

This paper cites Adversarial multi- source transfer learning in healthcare: Application to glucose prediction for diabetic people,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Adversarial multi- source transfer learning in healthcare: Application to glucose prediction for diabetic people,

Reference 16

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Observation 18d54d9b-e060-4478-bc84-49f330694f79 · outbound

This paper cites The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020,

Reference 17

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Observation 1155baec-138f-42a1-a2ca-8443be8debc2 · outbound

This paper cites Diatrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Diatrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions,

Reference 18

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Observation ce125069-4390-43e1-9bb3-74d9cbe51652 · outbound

This paper cites GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction

Reference 19

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Observation a19b10e5-6652-43e4-9f6a-653a85a52475 · outbound

This paper cites Interpreting blood glucose data with r package iglu,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Interpreting blood glucose data with r package iglu,

Reference 20

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Observation 1fd8397f-00be-48eb-818e-532c13d5b069 · outbound

This paper cites Glucostats: an efficient python library for glucose time series feature extraction and visual analysis,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Glucostats: an efficient python library for glucose time series feature extraction and visual analysis,

Reference 21

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Observation d79bb7b9-9f3e-4d46-9673-f5676665cf58 · outbound

This paper cites Continuous glucose monitoring time series data analysis: a time series analysis pack- age for continuous glucose monitoring data,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Continuous glucose monitoring time series data analysis: a time series analysis pack- age for continuous glucose monitoring data,

Reference 22

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Observation 563fd7b2-c864-494f-a446-0669c0a45813 · outbound

This paper cites T1diabetesgranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes T1diabetesgranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus,

Reference 23

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Observation 67b0ad57-9f56-4cd5-91c8-cb7142b3ea91 · outbound

This paper cites an unresolved cited work.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Unresolved cited work

Reference 24

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Observation fe020602-406d-411c-a30b-16024472bacd · outbound

This paper cites Feature transformation for efficient blood glucose prediction in type 1 diabetes mellitus patients,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Feature transformation for efficient blood glucose prediction in type 1 diabetes mellitus patients,

Reference 25

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Observation fa857ada-d79e-473b-b8f7-71f620a4744a · outbound

This paper cites Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients,

Reference 26

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Observation bfca77d6-2ea5-45d0-96d4-ff2e9fe693d9 · outbound

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

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Smote: synthetic minority over-sampling technique,

Reference 27

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Observation 24c6ded7-92ad-4f6d-a197-e1aae284323c · outbound

This paper cites A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions,

Reference 28

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Observation 41f805f2-20a4-4e19-a610-1bba3a7d9e1c · outbound

This paper cites Dilated recurrent neural networks for glucose forecasting in type 1 diabetes,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Dilated recurrent neural networks for glucose forecasting in type 1 diabetes,

Reference 29

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Observation 55f6d343-3244-4e05-a6d2-362088c7ae57 · outbound

This paper cites Lightweight sequential transformers for blood glucose level prediction in type-1 diabetes,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Lightweight sequential transformers for blood glucose level prediction in type-1 diabetes,

Reference 30

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Observation 3c5785af-37f7-4a2d-a3a0-d053b94c7eb6 · outbound

This paper cites Evaluating clinical accuracy of systems for self-monitoring of blood glucose,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Evaluating clinical accuracy of systems for self-monitoring of blood glucose,

Reference 31

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Observation 1ccff482-57b5-4163-ac79-dfa9ecf9b84c · outbound

This paper cites Technical aspects of the parkes error grid,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Technical aspects of the parkes error grid,

Reference 32

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Observation bce63bab-92a4-4048-ae70-e955fc722ea9 · outbound

This paper cites Sus-a quick and dirty usability scale,.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Sus-a quick and dirty usability scale,

Reference 33

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Observation eedfe9e8-33f5-4b97-b5a8-21978a499e6e · outbound

This paper cites Measuring usability with the system usability scale (sus),.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Measuring usability with the system usability scale (sus),

Reference 34

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Observation eed968d4-e889-4792-8d25-d10cfdcc4d9c · outbound

This paper cites Available: http://www.measuringusability.com/sus.php.

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes Available: http://www.measuringusability.com/sus.php

Reference 2011

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