Paper Citation Record · LEDGER

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.00065.

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

pith.paper-citation-record.v1
2502.00065 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:40:15.566713Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e15e88a-c875-484c-af41-204e800fb88c · outbound

This paper cites Type 1 diabetes.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Type 1 diabetes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:16.048222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43f93f42-4897-4e25-9752-3c713ceb2354 · outbound

This paper cites Inpatient management of adults and children with type 1 diabetes.Endocrinology and Metabolism Clinics, 39(3):595–608, 2010.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Inpatient management of adults and children with type 1 diabetes.Endocrinology and Metabolism Clinics, 39(3):595–608, 2010

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:16.033788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91ab0149-0935-4b55-a223-93b06b6d25eb · outbound

This paper cites Epidemiologyoftype1diabetes.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Epidemiologyoftype1diabetes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:16.018700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b43578c-a047-47ef-a2d6-6ee580dad83c · outbound

This paper cites The management of type 1 diabetes in adults.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning The management of type 1 diabetes in adults

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:16.003006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7cfb5dd-d91f-4288-a47e-42ad1fd92df2 · outbound

This paper cites an unresolved cited work.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:40:15.985035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 504c0d1c-b301-48f8-a185-cbe3e33d08bf · outbound

This paper cites Standards of care in diabetes—2023.Diabetes care, 46:S1– S267, 2023.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Standards of care in diabetes—2023.Diabetes care, 46:S1– S267, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.968835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c23236f-08d1-4d12-9eb4-3549b2e86836 · outbound

This paper cites Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?Journal of Diabetes Investigation, 15(1):5–14, 2024.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?Journal of Diabetes Investigation, 15(1):5–14, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.953873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac6749b3-85b8-4816-84bb-038db1a713e7 · outbound

This paper cites Continuousglucosemonitor- ingdevices:Abriefpresentation.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Continuousglucosemonitor- ingdevices:Abriefpresentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.939341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c13c7a1b-4d60-4c61-8399-8c30639ce883 · outbound

This paper cites Clinical implications of real-time and intermittently scanned continuous glucose monitor- ing.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Clinical implications of real-time and intermittently scanned continuous glucose monitor- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.924952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a48e9586-3f4e-4088-a81f-a99fb782ada1 · outbound

This paper cites Reproducibil- ity of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis.Scientific Reports, 13(1):13987, 2023.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Reproducibil- ity of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis.Scientific Reports, 13(1):13987, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.910957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eecbd5b4-43fc-4b29-90b3-16733bacb99f · outbound

This paper cites Using continuous glucose monitoring in clinical practice.Clinical diabetes: a publication of the American Diabetes Association, 38(5):429, 2020.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Using continuous glucose monitoring in clinical practice.Clinical diabetes: a publication of the American Diabetes Association, 38(5):429, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.896885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 081191e4-9d41-4378-8a1f-b3521d5f5375 · outbound

This paper cites Be- yond a1c: exploring continuous glucose monitoring metrics in managing diabetes.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Be- yond a1c: exploring continuous glucose monitoring metrics in managing diabetes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.881761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1eda51c2-6413-4cf9-b656-75ff19b88697 · outbound

This paper cites Diatrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions.Scientific Data, 10(1):556, 2023.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Diatrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions.Scientific Data, 10(1):556, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.867220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70d37631-8c67-446a-8ef2-feddbf9c6215 · outbound

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

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Predicting adverse events for patients with type-1 diabetes via self-supervised learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.853193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 618cf1e9-2b39-4c82-8e9c-e7d095c01661 · outbound

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

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning T1diabetesgranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.838322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 090151db-04b9-4574-be8e-09b184ecfbe8 · outbound

This paper cites Mealtime prediction using wearable insulin pump data to support diabetes management.Scientific Reports, 14(1):21013, 2024.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Mealtime prediction using wearable insulin pump data to support diabetes management.Scientific Reports, 14(1):21013, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.823338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa258830-8b3d-444c-a0c9-3aa22e481c71 · outbound

This paper cites an unresolved cited work.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:40:15.809197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afb7866f-d02c-46f1-b8ef-503696e168ee · outbound

This paper cites Universal Omni-Wheeled Mobile Robot Path Planning Using Reinforcement Learning Enhanced With Physics Based Modeling and Control.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Universal Omni-Wheeled Mobile Robot Path Planning Using Reinforcement Learning Enhanced With Physics Based Modeling and Control

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.795214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8f7d71c-4679-4e56-bb22-a7564c1aaa59 · outbound

This paper cites Adaptive voltage and frequency regulation for secondary control via reinforcement learning for islanded microgrids.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Adaptive voltage and frequency regulation for secondary control via reinforcement learning for islanded microgrids

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.780867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82338b7c-c7db-464b-a8a1-5eacf0be5d47 · outbound

This paper cites Resilient reinforcement learning for voltage control in an islanded dc microgrid integrating data-driven piezoelectric.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Resilient reinforcement learning for voltage control in an islanded dc microgrid integrating data-driven piezoelectric

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.766291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9c7844f-ae68-476e-8087-1e4a9a2661b5 · outbound

This paper cites A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T22:40:15.625931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c7c9531-25a6-41ef-9473-d3e5c51fba35 · outbound

This paper cites Adaptive attention-based lstm framework for multimodal driver drowsiness prediction.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Adaptive attention-based lstm framework for multimodal driver drowsiness prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.751385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46712609-34be-4b3a-a557-2b3a8cf56931 · outbound

This paper cites Multimodal Stress Detection Using Facial Landmarks and Biometric Signals.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Multimodal Stress Detection Using Facial Landmarks and Biometric Signals

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T22:40:15.535136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ac3411-1135-4852-ba12-17e5e446c822 · outbound

This paper cites Basal glucose control in type 1 diabetes using deep reinforcement learning: An in silico validation.IEEE Journal of Biomedical and Health Informatics, 25(4):1223–1232, 2020.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Basal glucose control in type 1 diabetes using deep reinforcement learning: An in silico validation.IEEE Journal of Biomedical and Health Informatics, 25(4):1223–1232, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.736971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74e751e9-1615-46c7-b276-92ed47daf828 · outbound

This paper cites A reinforcement learning–based method for management of type 1 diabetes: exploratory study.JMIR diabetes, 4(3):e12905, 2019.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning A reinforcement learning–based method for management of type 1 diabetes: exploratory study.JMIR diabetes, 4(3):e12905, 2019

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.721878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d875f972-a6f0-490d-8cdd-aa03ab04476b · outbound

This paper cites DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions.Scientific Data, 10(1):556, 2023.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions.Scientific Data, 10(1):556, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.705437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0818c6d5-cf8b-462c-aac2-2f7d1d8f17dd · outbound

This paper cites Lillicrap, Jonathan J.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Lillicrap, Jonathan J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.689009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10bd1fda-0cd5-4ca3-8cf8-dd9a1807bf43 · outbound

This paper cites Addressing Function Approx- imation Error in Actor-Critic Methods, October 2018.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Addressing Function Approx- imation Error in Actor-Critic Methods, October 2018

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.673915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15c3d457-8c98-487e-b873-36176eeca00b · outbound

This paper cites Soft Actor- Critic:Off-PolicyMaximumEntropy DeepReinforcement Learningwith aStochas- tic Actor, August 2018.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Soft Actor- Critic:Off-PolicyMaximumEntropy DeepReinforcement Learningwith aStochas- tic Actor, August 2018

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.658129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5eef3231-1c86-42d4-a973-fecc45b3105c · outbound

This paper cites D3rlpy: An offline deep reinforcement learning library.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning D3rlpy: An offline deep reinforcement learning library

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:40:15.641913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.