Paper Citation Record · LEDGER

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.11094.

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

pith.paper-citation-record.v1
2411.11094 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:58:36.757224Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact4
verified fuzzy4
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb8487c7-3689-4efd-ad85-53c748c27999 · outbound

This paper cites (2019, May 13).

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network (2019, May 13)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:37.547763Z

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.

Observation 75800cdb-2f29-4fc3-ada2-befaf44e69ea · outbound

This paper cites D., et al.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network D., et al

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:37.535342Z

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.

Observation 56f34561-5745-4102-aeb7-df243c0a9aa7 · outbound

This paper cites an unresolved cited work.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-12T18:58:37.091579Z

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.

Observation 82bf9042-87b7-44ce-82b1-504c638a01f2 · outbound

This paper cites ”EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms” 2024 Applied Sciences 14, no.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network ”EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms” 2024 Applied Sciences 14, no

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:37.521612Z

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.

Observation 6fd8d92d-b77b-4aa0-8c75-a78edd8a53a6 · outbound

This paper cites an unresolved cited work.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Unresolved cited work

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-12T18:58:36.566009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70fb691-bcf4-4a38-8da8-5c01fafa2174 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:36.570737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14de383e-c910-4f85-a42a-64af6015ed3e · outbound

This paper cites Szegedy et al., ”Going deeper with convolutions,” 2015 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Szegedy et al., ”Going deeper with convolutions,” 2015 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:36.574879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49fdd9ed-7d8b-4ccc-8624-716fc446b037 · outbound

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

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:36.587263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b2795c-97ee-4798-82e2-60d9765eac12 · outbound

This paper cites The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level

Reference 9

Resolution: verified exact; doi, observed 2026-08-12T18:58:36.812477Z

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.

Observation c43c0af9-4f11-4828-bb59-3db3b86c5fca · outbound

This paper cites Clarke, D.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Clarke, D

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:36.744108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63cf0904-ee6e-4444-9209-f9a4393832d1 · outbound

This paper cites GitHub - suetAndTie/ClarkeErrorGrid: This Has the Function for the Clarke Error Grid.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network GitHub - suetAndTie/ClarkeErrorGrid: This Has the Function for the Clarke Error Grid

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:37.508398Z

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.

Observation 7442475e-3789-4512-ab49-94c91718d662 · outbound

This paper cites an unresolved cited work.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Unresolved cited work

Reference 222

Resolution: verified exact; raw_fallback, observed 2026-08-12T18:58:37.410266Z

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.

Observation 2c9b7d30-9169-48c3-bba5-2234792b75a6 · outbound

This paper cites an unresolved cited work.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Unresolved cited work

Reference 1406

Resolution: verified exact; doi, observed 2026-08-12T18:58:36.825278Z

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.

Pith citing papers

No inbound Pith citation observations are available.