Paper Citation Record · LEDGER

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2502.09919.

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

pith.paper-citation-record.v1
2502.09919 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:06:12.652722Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:56:13.091531Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact4
verified fuzzy23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1622ab78-4176-4e4b-a33b-7b6076d2b5ae · outbound

This paper cites Epidemiology of type 2 dia- betes—global burden of disease and forecasted trends,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Epidemiology of type 2 dia- betes—global burden of disease and forecasted trends,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.424556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8934810-7c05-4551-b1c0-4867bbd72b6c · outbound

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

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Urgent action needed as global diabetes cases increase four-fold over past decades,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.407078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afb48dfc-938f-4640-8f9a-7b6cf5db127f · outbound

This paper cites Sedentary behavior and the biological hallmarks of aging,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Sedentary behavior and the biological hallmarks of aging,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.390363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f284d13-bc67-489b-b67c-6f8322b1bdcf · outbound

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

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Deep multitask learning by stacked long short-term memory for predicting personalized blood glucose concentration,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.373240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88f74e00-08a9-4b01-aec8-9b4c4e283bd0 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.512789Z

Source-reported events for the cited work

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Observation bf6cdd54-5617-45a4-88fc-6a2733faba0d · outbound

This paper cites Deep gated recurrent and convolutional network hybrid model for univariate time series classification,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Deep gated recurrent and convolutional network hybrid model for univariate time series classification,

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T20:06:13.012271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb273d9d-4dac-4392-93fa-190036434c9d · outbound

This paper cites Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:06:12.812425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfbb7320-707f-4a4a-a3fd-04edeede63f1 · outbound

This paper cites Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.353002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5901574d-91ad-413f-a3a4-05d26ff8f25d · outbound

This paper cites A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.533160Z

Source-reported events for the cited work

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Observation 3a84f3e6-b5f7-4a72-9f49-f7c8925fe9a8 · outbound

This paper cites Unlocking the Power of LSTM for Long Term Time Series Forecasting.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Unlocking the Power of LSTM for Long Term Time Series Forecasting

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:06:12.771983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cec8b77e-3e59-4dd9-84ec-8eab1b58220e · outbound

This paper cites Attention is all you need,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Attention is all you need,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.542459Z

Source-reported events for the cited work

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Observation 0323324f-c509-45bd-945b-1202e2e309e5 · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.547071Z

Source-reported events for the cited work

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Observation 4da2acfc-b692-40d6-b4d4-39169ccb2906 · outbound

This paper cites Multi-resolution time-series transformer for long-term forecasting,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Multi-resolution time-series transformer for long-term forecasting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.325780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 544674e4-cd71-48f9-be3b-d411858efd53 · outbound

This paper cites AI-READI: rethinking data collection, preparation and sharing for propelling AI-based discoveries in diabetes research and beyond,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset AI-READI: rethinking data collection, preparation and sharing for propelling AI-based discoveries in diabetes research and beyond,

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T20:06:12.702983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05c460f2-e73e-48a1-9581-17a278f60319 · outbound

This paper cites Flagship Dataset of Type 2 Diabetes from the AI-READI Project (2.0.0) [Data set],.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Flagship Dataset of Type 2 Diabetes from the AI-READI Project (2.0.0) [Data set],

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.561366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75bd6d2b-37d5-418a-bb21-bb77b4c3d0c8 · outbound

This paper cites Management of diabetes and hyperglycaemia in the hospital,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Management of diabetes and hyperglycaemia in the hospital,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.309570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ced7da4-5f4c-446d-af0d-838d8d60d9c0 · outbound

This paper cites Artificial intelligence in diabetes management: advancements, opportunities, and challenges,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Artificial intelligence in diabetes management: advancements, opportunities, and challenges,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.293322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7a39888-22b7-4f0c-b0ca-cb2397c9e1c3 · outbound

This paper cites The growing epidemic of diabetes mellitus,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset The growing epidemic of diabetes mellitus,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.276224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d1bacabf-62c1-4f4e-b049-72dd87143315 · outbound

This paper cites Benchmarking machine learning algorithms on blood glucose prediction for type i diabetes in comparison with classical time-series models,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Benchmarking machine learning algorithms on blood glucose prediction for type i diabetes in comparison with classical time-series models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.260226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b355573-2ffe-4b3f-bc96-5e99f02324aa · outbound

This paper cites Machine learning techniques for hypoglycemia prediction: trends and challenges,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Machine learning techniques for hypoglycemia prediction: trends and challenges,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.244576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f29aba27-b5ff-4643-8439-77b2ac43f82f · outbound

This paper cites Personalized modeling and detection of moments of cannabis use in free-living environments,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Personalized modeling and detection of moments of cannabis use in free-living environments,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.228354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7fb5421-ee2a-4709-af4a-bd13634f7120 · outbound

This paper cites Multimodal time-series activity forecasting for adaptive lifestyle intervention design,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Multimodal time-series activity forecasting for adaptive lifestyle intervention design,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.212070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79252145-fc80-47c0-bdad-b612029caa86 · outbound

This paper cites Cudle: Learning under label scarcity to detect cannabis use in uncontrolled environments using wearables,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Cudle: Learning under label scarcity to detect cannabis use in uncontrolled environments using wearables,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.194857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbee2abf-7daa-4fb8-baff-266dabb935db · outbound

This paper cites Wavelet-augmented self-supervised learning for accurate classifica- tion of cognitive workload,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Wavelet-augmented self-supervised learning for accurate classifica- tion of cognitive workload,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.178959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95274ac5-971a-4b85-bcd3-7cc98756f59b · outbound

This paper cites Expediting rein- forcement learning by incorporating temporal causal information,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Expediting rein- forcement learning by incorporating temporal causal information,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.162082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58b81efb-b5b2-46de-8883-ebf679ab5048 · outbound

This paper cites Distributed reinforcement learning for swarm systems with reward machines,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Distributed reinforcement learning for swarm systems with reward machines,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.145671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0bb8b2e3-30c9-4f14-8ec1-7edaf8443ccc · outbound

This paper cites Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.619781Z

Source-reported events for the cited work

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Observation 1cae615b-791c-4cdc-b8ef-7446e7ed28b2 · outbound

This paper cites Analyzing the performance of transformers for the prediction of the blood glucose level consider- ing imputation and smoothing,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Analyzing the performance of transformers for the prediction of the blood glucose level consider- ing imputation and smoothing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.129347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74afedda-5882-4c34-b89d-ed5b780728ca · outbound

This paper cites Gluformer: Transformer-based personalized glucose forecasting with uncertainty quantification,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Gluformer: Transformer-based personalized glucose forecasting with uncertainty quantification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.111783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f54337e4-2e62-4ab6-94ed-15ec4098e5a0 · outbound

This paper cites Edge- based temporal fusion transformer for multi-horizon blood glucose prediction,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Edge- based temporal fusion transformer for multi-horizon blood glucose prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.095563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1edcabdc-8a11-4438-a387-4364b6bf912c · outbound

This paper cites Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.638739Z

Source-reported events for the cited work

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Observation 01d196d3-9183-4a87-9d0b-e1ac2c5c2dd8 · outbound

This paper cites Glysim: Modeling and simulating glycemic response for behavioral lifestyle interventions,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Glysim: Modeling and simulating glycemic response for behavioral lifestyle interventions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.079869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 337f802e-786e-4bf5-ad3b-6048dfd92a78 · outbound

This paper cites Joint embedding of food photographs and blood glucose for improved calorie estimation,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Joint embedding of food photographs and blood glucose for improved calorie estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.063102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85673b98-ddf5-4404-b6d7-9f6278ecf493 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Overcoming catastrophic forgetting in neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:06:13.047668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 6a7fe1d1-e036-4d7b-98ed-6fb986a8fc5a · inbound

Gated Adaptation for Continual Learning in Human Activity Recognition cites this paper.

Gated Adaptation for Continual Learning in Human Activity Recognition AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:52.665586Z

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Unavailable: canonical work link unavailable.

Observation a0917726-707a-41bf-8dc5-ff2a72a7b93f · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:13.091531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.