Pith. sign in

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 2026-08-21T06:32:19.484+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

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.795977Z digest=sha256:7f9927168987796c853c5745365501f5d25831da063489e34f37dc5c090c8bfb

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.800506Z digest=sha256:e36b1a71e3f6ceecd86fef10ccfbcc74cc0fa4eda5ee8a42efcdaa9962a730e4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.804375Z digest=sha256:a2874c58bc69eabc3126a788faa1a89a951fb36e79b4de2b4740674b80871eba

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.808225Z digest=sha256:025b2920daca48cec6ced4ef632744212b82e4a4b3fec3cbeedc0dab810d65ed

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.812191Z digest=sha256:f1ce18bf02f86be928e2fef94aa864dad97e0bdc83d85dcf43e912071fcbe9bb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.816708Z digest=sha256:b26e201adacf4c1c114d02fb7cf6a04be05d5b5354a79ba64de70c1dd7ddeacf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.820389Z digest=sha256:4af5077c72f6ed8d08a8d793e4bf4a717437cc3f17499034efa6cbdb18e6d86a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.823648Z digest=sha256:ea63195f59613888ad4e2c6542f68ae880decec22173425293fb279f95525cf9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.826952Z digest=sha256:e724e524de0b95b7c1ed166de5e0ae4327ea8a2b97cb483063a2fedf9b3fff35

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.830529Z digest=sha256:64b804b4d656fc182838647db22a272767bf6d3a62002c7d5bf2e4a8aed2b0b2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.833903Z digest=sha256:b2839b6ba45e84b3114d2779b6ae536e2f5f0cf2d07e7ea931f137b76e1d56f2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.837313Z digest=sha256:0d3809d96925064b12c1fa3f60839dce90ac37027da6fce814bb9d1a803a08ae

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.840777Z digest=sha256:57505007fa681b83bf145738b1d547ac4fba3c1c4274fd742d1ed68a95e5a2fb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.844083Z digest=sha256:3ec55d17d694a2bc7c9b1005c2238bc225a80c1f4c9cb7608e5c0a3015fb3b7a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.847828Z digest=sha256:ec00bc27b22aff622a911f52dd285a38593ef76d694e657ef144213a7e1a3873

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.851176Z digest=sha256:0c0639845a9f8e3a0480f41ec4acd50114b97d12161521e1b3afbf6ca4c1deec

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.854693Z digest=sha256:3f830ac60b2a6a607502e8f92a3172cc930d83382077c42f1280669cf82aee20

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.858118Z digest=sha256:4caac2af397d6301cefaf9294dfe969b42c245312127fcc32d7e6ba8a8b2c0ea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.861463Z digest=sha256:5d524972992c16857a8dc1acc4449ee9a3cb965a680ebb9d85a49ed65c7ecc3e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.865326Z digest=sha256:b9d3e0385848ae0ac08097b72de2c46e4815670633b84f826b9419c148f9f36c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.868985Z digest=sha256:580d35334c6b5edc8054e43c14d2e6205eb459ba56d52bcc8e1d138a626b0557

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.872357Z digest=sha256:eb43997e4c0626743732a58a2bfc16c76fdfe8622af44e452122c39c88b22c77

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.875599Z digest=sha256:423bd93686a7f5707188c579d2afd8e7a5cecae94abde8f59f48b66bf5237ea1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.883583Z digest=sha256:e9da6229b6f90ec8569778c52e4ba287a96640a013fc740183e627a1e91b8921

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.887379Z digest=sha256:e06507e7e95ae104989cd854ec81dcd5a752f3335a4e322838a1366e6bad8136

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.891050Z digest=sha256:100fccce1fae9c73451360933887ee5ea017f9645edc8189fe6a69029dcb113c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.894778Z digest=sha256:408adfd8bc972e14b0061a875455f3630b4947d812e0e4d27563c05c70f52074

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.903893Z digest=sha256:f4273bc6e15600f397270d2332df5711a88e9a5ef4d8eb75f762f72fdba345a8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:38:20.908020Z digest=sha256:8914e870b991341283745b5046469da54f1aa2eecbc5a394f02b40816f34045d

Pith citing papers

No inbound Pith citation observations are available.