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Paper Citation Record · LEDGER

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.19006.

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

pith.paper-citation-record.v1
2607.19006 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:38:20.908020Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f78d4e5c-15a9-4dbe-a381-48f137df4006 · outbound

This paper cites Type 1 diabetes,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Type 1 diabetes,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.347960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3e843646-4416-4ee0-a0c1-156a30a35d00 · outbound

This paper cites Continuous glucose monitoring: a review of successes, challenges, and opportunities,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Continuous glucose monitoring: a review of successes, challenges, and opportunities,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.336934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.800506Z digest=sha256:5b7667e8b3b31e09d22f0895d38e064df6e40303df91d122b20d7d36e212d2d4

Observation 0690d53b-4b36-420e-86a0-89a5c898e28d · outbound

This paper cites Continuous subcutaneous insulin infusion: a comprehensive review of insulin pump therapy,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Continuous subcutaneous insulin infusion: a comprehensive review of insulin pump therapy,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.324744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.804375Z digest=sha256:854752e8409c76eda67a3dd33d86d21d2a148f573c0e380e35b373abab955de6

Observation 9c8137ca-f600-4c08-a961-e8c5b53d2531 · outbound

This paper cites Engineering digital biomarkers of inter- stitial glucose from noninvasive smartwatches,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Engineering digital biomarkers of inter- stitial glucose from noninvasive smartwatches,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.313810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.808225Z digest=sha256:38235677975437d722c8ad1cd64a745b9d4be4feb3334fd66b5ab210a6197dd2

Observation d9140356-ed3a-423d-8577-5447bde2723f · outbound

This paper cites Arima models,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Arima models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.301213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.812191Z digest=sha256:f48aad117696bf73cf29b0b240f223eda4cda4989705a0a2d25b50f14557fbf8

Observation 9fe4f55a-1ae0-4655-aa27-a81d26641897 · outbound

This paper cites Blood glucose prediction model for type 1 diabetes based on extreme gradient boosting,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Blood glucose prediction model for type 1 diabetes based on extreme gradient boosting,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.288704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.816708Z digest=sha256:fe349211970af6766676939cd1abba15f1805a4eb9e6d93190e01b375494e146

Observation 4940fe9a-b44f-4179-b4fb-9bacb16fc2a5 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.277613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.820389Z digest=sha256:95f78aa56b9687e3c17af487057165f192244945fa9550b0bdee5a79b048bc1a

Observation bb910596-ff02-4441-9fa5-b0c9a52a3e7a · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Bgformer: An improved informer model to enhance blood glucose prediction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.266958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.823648Z digest=sha256:d79121ef8838c3858eeaf7445576e52cc080d9fd5998f2d16bd900fb69d0d077

Observation b1e80eeb-8505-409e-8169-c174d471e3cb · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Gluformer: Transformer-based personalized glucose forecasting with uncertainty quantification,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.256614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.826952Z digest=sha256:0e3c938f98aa169682e60dabb7c6cd273e6fe37154e30b06b2db44716aead6f9

Observation 6f587932-263a-47f3-94df-8a17af5a58c8 · outbound

This paper cites Blood glucose prediction algorithm via timesnet-mpinn,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Blood glucose prediction algorithm via timesnet-mpinn,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.245449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.830529Z digest=sha256:ea13fb58e7a6da1f0a63e1704ecb0a52ff2ee01a24275d6edc764fe9c3bad7b4

Observation ed092c4d-17cf-406c-bda2-92897f6f8159 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Predicting adverse events for patients with type-1 diabetes via self-supervised learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.234362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.833903Z digest=sha256:71576222595d36ddcdbb7b5ddef6abcea58da10ab07e790bfb6ed547add48c74

Observation a484eb2d-f2a1-4bec-ab84-d1e0dbc5b86d · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Improving detection of type-1 diabetes adverse events using gru networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.223242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.837313Z digest=sha256:de56c172f3e87f550f7dbe88c0c3f950536baadee0133467602dab842ad89ac9

Observation 9aebb05d-46ac-49c9-a4b2-91a7f24527a8 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Lightweight sequential transformers for blood glucose level prediction in type-1 diabetes,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.212523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.840777Z digest=sha256:aab96dfe0f9f7237b4709974260851ea01a9bf9a44eeb41f44344e4df80982c3

Observation bca69c7d-7d42-4aee-81c7-a2025846d672 · outbound

This paper cites Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.202197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.844083Z digest=sha256:040fa7ad72013064928ed866fecea8372b7c9ec890b352bafcab0fa1297030f3

Observation 7f8494bc-34c8-4b28-931c-ed8c1250c742 · outbound

This paper cites A review of personalized blood glucose prediction strategies for t1dm patients,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes A review of personalized blood glucose prediction strategies for t1dm patients,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.191638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.847828Z digest=sha256:cfb26a059e6ca6225820b71e47455af743fdb50d83d2b8ee0251938028d108ba

Observation 54fbccb5-3fb6-4777-b6ae-ce4a14e70c33 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.181239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.851176Z digest=sha256:737d26ecbf848ff9fad041b0416505324eb4724a130865cd92621cf727d7872f

Observation 4cdf85be-b4da-45a4-8d35-c76ac6a75062 · outbound

This paper cites Metabolic interventions as adjunctive therapies to insulin in type 1 diabetes: Current clinical landscape and perspectives,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Metabolic interventions as adjunctive therapies to insulin in type 1 diabetes: Current clinical landscape and perspectives,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.170259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.854693Z digest=sha256:dd8d060e50bb988cf3ca7e0240c3cf29570dd3aa0ad661f8d0c003aec310be03

Observation 499654e5-a4a5-4ce8-984e-f73771a00bed · outbound

This paper cites A per- sonalized blood glucose level prediction model with a fine-tuning strategy: A proof-of-concept study,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes A per- sonalized blood glucose level prediction model with a fine-tuning strategy: A proof-of-concept study,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.158459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.858118Z digest=sha256:38fc1c7f78aaaf342e3fe7cafbff0996a6ea080e49bbac270ce6dda58ebefe5e

Observation f8e3c8fa-3821-46ac-9f1c-f63e314af555 · outbound

This paper cites A meta-learning approach to personalized blood glucose prediction in type 1 diabetes,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes A meta-learning approach to personalized blood glucose prediction in type 1 diabetes,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.146728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.861463Z digest=sha256:2364454ce237956189dc9ee64e30fbc08c12a595f3be04032a767643a36d73cf

Observation ea8fdd25-a96e-4b29-a3ba-9e6072ae30b9 · outbound

This paper cites Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta- learning,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta- learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.135908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.865326Z digest=sha256:4bf7aeb1aadf7e1ddf6b87749e7d64589e9e8b5830e977883057106ba0c59633

Observation 6970400c-825a-4292-bdb3-0badc19c07ca · outbound

This paper cites Deep learning-based glucose prediction models: a guide for practitioners and a curated dataset for improved diabetes management,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Deep learning-based glucose prediction models: a guide for practitioners and a curated dataset for improved diabetes management,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.124588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.868985Z digest=sha256:d35ad07c2347556cfcad116190c730109bb41ed7842a2ff341dee22e011a1ae9

Observation bf924c6a-30e2-4331-9d2c-0c8f17900aaf · outbound

This paper cites Personalized glucose fore- casting for people with type 1 diabetes using large language models,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Personalized glucose fore- casting for people with type 1 diabetes using large language models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.113624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.872357Z digest=sha256:a8a875c910393b259579d80fd8699df045d94d0b93cf240140ae8fc6d5ce270c

Observation 124251d8-21ef-4dbe-b267-15d129c24f44 · outbound

This paper cites Tailoring adverse event prediction in type 1 diabetes with patient-specific deep learning models,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Tailoring adverse event prediction in type 1 diabetes with patient-specific deep learning models,

Reference 23

Resolution
verified exact
raw_fallback, observed 2026-08-15T15:38:21.015630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.875599Z digest=sha256:975bd135709b033f3cf25e396e0a05ccda54728b85ea322d5bb20a4e09d4a7c2

Observation 2b92d0a3-0066-4e68-9a18-f98f5cb7291f · outbound

This paper cites Multimodal deep learning for biomedical data fusion: a review,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Multimodal deep learning for biomedical data fusion: a review,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T15:38:20.879965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:38:20.879965Z digest=sha256:f0da49e0cee366355ac72f6004a84e6358f1f8fb747dd43e6fee2315c7ad2f29

Observation d7929e6f-179e-43d2-8a93-bbe5059ac734 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.095455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.883583Z digest=sha256:2c77dbfc9d1bc4b2739dce6bd0e4076251c3833c0af0e737c712fcfffd6154ac

Observation e9081d47-1db2-47a0-8dfa-3dc335aa5381 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Diatrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.083625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.887379Z digest=sha256:2a2fdf4e22443af8285c2627578c619b66f1a5e5de6fdc76544a5a0188c760d0

Observation 3661c991-43e6-4946-b4ca-27a1513b0fe6 · outbound

This paper cites an unresolved cited work.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:38:21.072385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.891050Z digest=sha256:006eaf6732f62e8c8653af0ab0ea7e24c8bc114602e6f7d7a7d432f43c5f0070

Observation 075c9ec8-e335-47cc-a099-d47a104d3260 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Feature transformation for efficient blood glucose prediction in type 1 diabetes mellitus patients,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.060538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.894778Z digest=sha256:bfcfe4efe359a0c4eb9d5901dd63bd4649a900ffb89f4a84be122e2e794cabaf

Observation 47aa9d40-96ad-46fc-87c6-8d3fac58848a · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Smote: synthetic minority over-sampling technique,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:38:20.899862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:38:20.899862Z digest=sha256:11fc6225d8ba1023d926cf1591193f03de730b62f2297c418b38da480027ce69

Observation 4ccdfee7-1d25-41a8-9cbd-a9ab6c8929e5 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Arcface: Additive angular margin loss for deep face recognition,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.040055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.903893Z digest=sha256:d1d3c7096cc296192d24d359c09c700fd6a1c2ccbdc3d2c1b6ae5e695ab99866

Observation 87309553-f215-4632-bb02-9483d6e5c6b7 · outbound

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

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes Evaluating clinical accuracy of systems for self-monitoring of blood glucose,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:38:21.028269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T15:38:20.908020Z digest=sha256:5edab141b99270f36c968058ebf7510125a695abf97c79d0829766bf7af3af21

Pith citing papers

No inbound Pith citation observations are available.