Paper Citation Record · LEDGER

Using Contextual Information to Improve Blood Glucose Prediction

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1909.01735.

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

pith.paper-citation-record.v1
1909.01735 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:25:43.924910Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy29
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18ee07d9-eb33-433e-a88e-72ca9c5fb8fe · outbound

This paper cites write newline.

Using Contextual Information to Improve Blood Glucose Prediction write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T11:25:43.739049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a75dc152-3f9f-450c-ae95-6dd66825d97b · outbound

This paper cites Sentiment analysis of twitter data.

Using Contextual Information to Improve Blood Glucose Prediction Sentiment analysis of twitter data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.623031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89862b48-73c5-4532-8b11-87d38af0f3ce · outbound

This paper cites A kernel method for canonical correlation analysis.

Using Contextual Information to Improve Blood Glucose Prediction A kernel method for canonical correlation analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T11:25:43.754315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba9344e-0283-4424-af96-e03bf86f27d8 · outbound

This paper cites From the user to the medium: Neural profiling across web communities.

Using Contextual Information to Improve Blood Glucose Prediction From the user to the medium: Neural profiling across web communities

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.604472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 877a32d5-7dd6-40ee-a198-185bc77decfc · outbound

This paper cites Personalized glucose forecasting for type 2 diabetes using data assimilation.

Using Contextual Information to Improve Blood Glucose Prediction Personalized glucose forecasting for type 2 diabetes using data assimilation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.580107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e49d2f7d-7cc9-4fcd-89d7-b5619924a16c · outbound

This paper cites Class-based n-gram models of natural language.

Using Contextual Information to Improve Blood Glucose Prediction Class-based n-gram models of natural language

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.557946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03208927-4f69-4f5a-9e43-7beb35bb33dc · outbound

This paper cites Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.

Using Contextual Information to Improve Blood Glucose Prediction Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:25:44.027108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc4c6fb1-9b51-48e3-8bf9-9ad03e4a9965 · outbound

This paper cites Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities.

Using Contextual Information to Improve Blood Glucose Prediction Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.539448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9662ee94-707a-4591-a7b2-637f7c657bfd · outbound

This paper cites Seeking and sharing health information online: comparing search engines and social media.

Using Contextual Information to Improve Blood Glucose Prediction Seeking and sharing health information online: comparing search engines and social media

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.515503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39fc40f4-a324-406f-bc62-0e12b01fab5b · outbound

This paper cites Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories.

Using Contextual Information to Improve Blood Glucose Prediction Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T11:25:43.791249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93847dfa-0cde-406b-af3a-9ff778e92dc0 · outbound

This paper cites Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier.

Using Contextual Information to Improve Blood Glucose Prediction Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:25:43.986055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b6d46d1-5aeb-4c6b-9171-a9ab4bdf8de2 · outbound

This paper cites High-resolution temporal representations of alcohol and tobacco behaviors from social media data.

Using Contextual Information to Improve Blood Glucose Prediction High-resolution temporal representations of alcohol and tobacco behaviors from social media data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.497409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b49a746d-6329-4c95-8ebc-12ebcbd32bd0 · outbound

This paper cites Multimodal affect recognition in learning environments.

Using Contextual Information to Improve Blood Glucose Prediction Multimodal affect recognition in learning environments

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.473757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae59add0-dc0d-4813-b1cf-8d3b94abe024 · outbound

This paper cites Modelling the working week for multi-step forecasting using gaussian process regression.

Using Contextual Information to Improve Blood Glucose Prediction Modelling the working week for multi-step forecasting using gaussian process regression

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.449940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ae41519-fd52-469f-aabd-d21986f9075f · outbound

This paper cites Re-using an argument corpus to aid in the curation of social media collections.

Using Contextual Information to Improve Blood Glucose Prediction Re-using an argument corpus to aid in the curation of social media collections

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.430034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75b516b2-cb9b-4270-aa36-46bea6c8624e · outbound

This paper cites Depression in diabetic patients: the relationship between mood and glycemic control.

Using Contextual Information to Improve Blood Glucose Prediction Depression in diabetic patients: the relationship between mood and glycemic control

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.411549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf8e2bb7-99f9-45c9-865e-48ef16d3f0ba · outbound

This paper cites The ohiot1dm dataset for blood glucose level prediction.

Using Contextual Information to Improve Blood Glucose Prediction The ohiot1dm dataset for blood glucose level prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.390418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 082ed040-f0df-4ded-83e7-fd7c275b5c03 · outbound

This paper cites Evaluation of the portable healthwear armband: a device to measure total daily energy expenditure in free-living type 2 diabetic individuals.

Using Contextual Information to Improve Blood Glucose Prediction Evaluation of the portable healthwear armband: a device to measure total daily energy expenditure in free-living type 2 diabetic individuals

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.370952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e926787e-46d7-460b-b5fa-1037bac69a7f · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Using Contextual Information to Improve Blood Glucose Prediction Efficient Estimation of Word Representations in Vector Space

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T11:25:43.839179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fcca906-5580-409c-9ea6-bd3b4401f598 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Using Contextual Information to Improve Blood Glucose Prediction Distributed representations of words and phrases and their compositionality

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.343583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a23e277b-3045-4b5f-bcb6-d56da8ba7e96 · outbound

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

Using Contextual Information to Improve Blood Glucose Prediction A review of personalized blood glucose prediction strategies for t1dm patients

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.323059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81b5d64c-fc94-4be9-9e23-cfda30bac30b · outbound

This paper cites A machine learning approach to predicting blood glucose levels for diabetes management.

Using Contextual Information to Improve Blood Glucose Prediction A machine learning approach to predicting blood glucose levels for diabetes management

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.308764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44687428-b702-4313-8a92-92dbf25b5160 · outbound

This paper cites Gaussian processes in machine learning.

Using Contextual Information to Improve Blood Glucose Prediction Gaussian processes in machine learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.288773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d3099b1-57ca-430a-ab15-838da3ef85aa · outbound

This paper cites Design challenges and misconceptions in named entity recognition.

Using Contextual Information to Improve Blood Glucose Prediction Design challenges and misconceptions in named entity recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.265579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0be782af-1045-4bc6-8992-2b4d1b354d1a · outbound

This paper cites Physical exercise improves glucose metabolism in lifestyle-related diseases.

Using Contextual Information to Improve Blood Glucose Prediction Physical exercise improves glucose metabolism in lifestyle-related diseases

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.246896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 103e5357-00af-4706-ae63-bd19bc8d360b · outbound

This paper cites Time series regression and exploratory data analysis.

Using Contextual Information to Improve Blood Glucose Prediction Time series regression and exploratory data analysis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.229355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2345c3c3-2910-453d-9ed2-154809fb7d94 · outbound

This paper cites Early versus late fusion in semantic video analysis.

Using Contextual Information to Improve Blood Glucose Prediction Early versus late fusion in semantic video analysis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.202414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4296324-c038-4939-95d5-856b1403fb6d · outbound

This paper cites Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series.

Using Contextual Information to Improve Blood Glucose Prediction Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.186583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af5fc98d-191f-4380-9ebd-f8a78dd918ed · outbound

This paper cites Unsupervised feature selection for multi-view data in social media.

Using Contextual Information to Improve Blood Glucose Prediction Unsupervised feature selection for multi-view data in social media

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.170728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0142fb85-4e94-4d14-b00d-788dc5fa3fa8 · outbound

This paper cites Canonical correlation analysis.

Using Contextual Information to Improve Blood Glucose Prediction Canonical correlation analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.154277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 557dd5f5-fe98-4a31-9c46-2e2eafd39daf · outbound

This paper cites Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes.

Using Contextual Information to Improve Blood Glucose Prediction Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.137377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36ef25b1-f694-4c62-9df7-9ca02d730245 · outbound

This paper cites Efficient manifold ranking for image retrieval.

Using Contextual Information to Improve Blood Glucose Prediction Efficient manifold ranking for image retrieval

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.119205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05a80834-f219-45ab-bfcf-3f1ca3e10176 · outbound

This paper cites Mobile phone name extraction from internet forums: a semi-supervised approach.

Using Contextual Information to Improve Blood Glucose Prediction Mobile phone name extraction from internet forums: a semi-supervised approach

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.102175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 309bcca9-df4e-4cf6-8be4-4bf6bffd7123 · outbound

This paper cites Software-specific named entity recognition in software engineering social content.

Using Contextual Information to Improve Blood Glucose Prediction Software-specific named entity recognition in software engineering social content

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.083767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 69ad179d-99b8-49ae-8410-18b5b020d6e2 · outbound

This paper cites Robust late fusion with rank minimization.

Using Contextual Information to Improve Blood Glucose Prediction Robust late fusion with rank minimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:25:44.062691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.