Paper Citation Record · LEDGER

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.04414.

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

pith.paper-citation-record.v1
2607.04414 v1

Coverage vector

measured 51 of 51 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-11T19:21:47.532362Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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unresolved49
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Outbound references

Observation 4b87b85d-7b67-41e8-a09c-83a14189f80f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 1

Resolution: verified exact; doi, observed 2026-07-11T19:28:13.052742Z

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Observation 5ba1d8a5-d26f-4596-aa6e-ad1d10da0b33 · outbound

This paper cites The Lancet , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals The Lancet , volume=

Reference 2

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Observation 67dccf76-6c6e-4d12-9f21-46f2aab74ca5 · outbound

This paper cites IEEE Transactions on Industrial Electronics , year=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Industrial Electronics , year=

Reference 3

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Observation 5a91e6a1-77d8-49dd-9418-7b94d04ceede · outbound

This paper cites and Kuhar, Peter and Hughes, J.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Kuhar, Peter and Hughes, J

Reference 4

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Observation 63251673-40cc-4015-a914-87f84e3056b0 · outbound

This paper cites and Ponnapalli, Prasad V.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Ponnapalli, Prasad V

Reference 5

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Observation 39e2dd0a-9145-46fd-8feb-7c52dfffcc11 · outbound

This paper cites and Abbott, Derek and Lim, Kenneth and Ward, Rabab , title =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Abbott, Derek and Lim, Kenneth and Ward, Rabab , title =

Reference 6

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Observation 0a13f422-6074-4d71-b212-63e63bf2efb0 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics ,year=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Journal of Biomedical and Health Informatics ,year=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation 31e13bc8-07b7-4d02-b99a-1b26cbadd78b · outbound

This paper cites Journal of Biomedical Informatics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Journal of Biomedical Informatics , volume =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation e3fb1bf4-6160-45d7-bf19-c317aede357a · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Neural Networks and Learning Systems , volume =

Reference 9

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Observation de9f882b-d63c-4201-b58f-a13173d63972 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Journal of Biomedical and Health Informatics , volume =

Reference 10

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Observation 54412362-009e-40e0-b82c-d57fb856fc79 · outbound

This paper cites IEEE Transactions on Industrial Informatics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Industrial Informatics , volume =

Reference 11

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Observation 05250df5-d462-40da-8177-f6a1563ef8f4 · outbound

This paper cites Biomedical Signal Processing and Control , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Biomedical Signal Processing and Control , volume =

Reference 12

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Observation 58571733-db35-4aa8-b2fd-3d25a4d471f2 · outbound

This paper cites IEEE Transactions on Consumer Electronics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Consumer Electronics , volume =

Reference 13

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Observation 23393c67-68e2-4ea8-b34e-4ca01f98689d · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Journal of Biomedical and Health Informatics , volume =

Reference 14

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Observation 2f2c5bee-d215-4520-b732-73023ac913e6 · outbound

This paper cites Biomedical Signal Processing and Control , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Biomedical Signal Processing and Control , volume =

Reference 15

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Observation 8abfcd16-9f21-4a3e-997c-de9cd8e7233c · outbound

This paper cites IEEE Transactions on Biomedical Circuits and Systems , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Biomedical Circuits and Systems , volume =

Reference 16

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Observation 9afa60af-af54-4a8e-8911-67ef885ba68b · outbound

This paper cites Sensors , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Sensors , volume =

Reference 17

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Observation 3d7574c8-47a8-474e-a725-bc088f263699 · outbound

This paper cites Biomedical Signal Processing and Control , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Biomedical Signal Processing and Control , volume =

Reference 18

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Observation f37c1cfd-3a03-407c-9eaa-50ac95fb43cd · outbound

This paper cites Thirty-Eighth AAAI Conference on Artificial Intelligence,.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Thirty-Eighth AAAI Conference on Artificial Intelligence,

Reference 19

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Observation 07dc183b-b872-40b0-bc7e-80f98f4acfa6 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence ,year=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Pattern Analysis and Machine Intelligence ,year=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation fa400b62-45b9-47a3-b973-6bf6a7ff9b61 · outbound

This paper cites Applied Sciences , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Applied Sciences , volume =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation d23954d2-0d6c-443a-9ebf-316ce0fdf68e · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Advances in Neural Information Processing Systems , year =

Reference 22

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Observation 59813f9b-9d29-46e9-bdec-b2851894eb76 · outbound

This paper cites Scientific Reports , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Scientific Reports , volume =

Reference 23

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Observation 229ac051-5b82-4d5e-b61b-e6c9d31fa992 · outbound

This paper cites Frontiers in Digital Health , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Frontiers in Digital Health , volume=

Reference 24

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Observation 7489b5a7-51f8-4c67-b109-ac6d58f69071 · outbound

This paper cites and Alex, Zachariah C.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Alex, Zachariah C

Reference 25

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Observation 4d14d0fa-fe65-4cee-a911-56647c96481c · outbound

This paper cites 2017 , publisher=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals 2017 , publisher=

Reference 26

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Observation 75e9c20e-2f3a-48f1-a6dc-81812e6ddb29 · outbound

This paper cites , title =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals , title =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation ad2379a3-43f4-4562-953c-c595eed08f36 · outbound

This paper cites IEEE Sensors Journal , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Sensors Journal , volume =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation cf42d07b-f2d9-4d63-913d-fc2d90847e81 · outbound

This paper cites 2024 IEEE International Symposium on Circuits and Systems (ISCAS) , year =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals 2024 IEEE International Symposium on Circuits and Systems (ISCAS) , year =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation e4df8a3a-f610-46f9-8b11-02d77978601b · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Journal of Biomedical and Health Informatics , volume =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T19:21:47.532362Z

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Observation d6e7e11a-ed5b-4df2-9157-f504fe248224 · outbound

This paper cites Biomedical Signal Processing and Control , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Biomedical Signal Processing and Control , volume =

Reference 31

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Observation c802992f-7e18-4d97-a872-59363929daed · outbound

This paper cites Cardiovascular Diabetology , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Cardiovascular Diabetology , volume =

Reference 32

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Observation 20c52775-a028-4456-b8a4-e8bd3de8fe18 · outbound

This paper cites and Tuytelaars, Tinne and Tolias, Andreas S.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Tuytelaars, Tinne and Tolias, Andreas S

Reference 33

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Observation 1444cf67-fbb6-4ed6-a520-7abbd202d774 · outbound

This paper cites Neural Networks , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Neural Networks , volume=

Reference 34

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Observation 389c6308-9f69-4f74-8ef8-54825efefb4c · outbound

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Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Unresolved cited work

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Observation bc4c73a8-084c-4eca-ad86-909942b58609 · outbound

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Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Unresolved cited work

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Observation 1004dd17-82a9-4fa4-b979-7712fa30a3ff · outbound

This paper cites Kudithipudi and M.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Kudithipudi and M

Reference 37

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Observation b5fd6e17-03f0-4979-87ff-5581d13b1062 · outbound

This paper cites Scientific Data , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Scientific Data , volume =

Reference 38

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Observation 510108a2-dc97-46c4-b115-11e5fb113b54 · outbound

This paper cites and Weber, Jonathan and Webb, Geoffrey I.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Weber, Jonathan and Webb, Geoffrey I

Reference 39

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Observation f69986d5-247e-41d1-b87e-77ba3c985547 · outbound

This paper cites and Cox, Daniel and Gonder-Frederick, Linda A.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals and Cox, Daniel and Gonder-Frederick, Linda A

Reference 40

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Observation 8e611c78-cdf3-4059-8c91-fd0f5a78a69b · outbound

This paper cites Scientific Reports , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Scientific Reports , volume =

Reference 41

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Observation ba98ee22-bf0d-439e-9e65-e1d961a983f1 · outbound

This paper cites Biomedical Signal Processing and Control , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Biomedical Signal Processing and Control , volume =

Reference 42

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Observation 2ecd9a80-034f-493c-8889-0d0853c60186 · outbound

This paper cites Nature Machine Intelligence , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Nature Machine Intelligence , volume =

Reference 43

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Observation 8caf3c82-1182-4bad-bdb8-6aa54cfa72d5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year =

Reference 44

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Observation a41439a1-d73c-488c-a2e0-8b995832dcc2 · outbound

This paper cites Pattern Recognition , volume =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Pattern Recognition , volume =

Reference 45

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Observation d9b20237-f29a-4b05-b079-99e4417ad49b · outbound

This paper cites Bioengineering , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Bioengineering , volume=

Reference 46

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Observation 1ef5bf39-1f47-4e6f-9cc9-0e2ea7443271 · outbound

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Non-invasive Blood Glucose Estimation from Wearable Physiological Signals IEEE Transactions on Biomedical Engineering , volume=

Reference 47

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Observation 42a44a2f-6411-4dae-99ee-46c842113eab · outbound

This paper cites 2023 , doi =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals 2023 , doi =

Reference 48

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Observation 0ff42851-615f-43d3-9fdf-9129b3ee1ab6 · outbound

This paper cites Nature , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Nature , volume=

Reference 49

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Observation 6d493043-7477-4fa4-8f15-cd76fe2c1e17 · outbound

This paper cites Frontiers in Public Health , volume=.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals Frontiers in Public Health , volume=

Reference 50

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Observation f2de4ba2-001a-4ce8-be6a-bf22eb03c517 · outbound

This paper cites The Shapley Value in Machine Learning , booktitle =.

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals The Shapley Value in Machine Learning , booktitle =

Reference 51

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Pith citing papers

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