Paper Citation Record · LEDGER

Cough Classification using Few-Shot Learning

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2509.09515.

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

pith.paper-citation-record.v1
2509.09515 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:59:53.258414Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:02:28.245356Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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verified fuzzy0
unresolved46
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18321ded-2c73-4e63-a169-61f1d5a3c1c4 · outbound

This paper cites Imran, J.

Cough Classification using Few-Shot Learning Imran, J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.108542Z

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Observation e3fe4ae6-acca-4f1b-bd26-6015d28fda29 · outbound

This paper cites Brownlee, ”Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python,”Machine Learning Mastery, 2018.

Cough Classification using Few-Shot Learning Brownlee, ”Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python,”Machine Learning Mastery, 2018

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.112405Z

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Observation 4dfb0140-f33b-469b-80d2-2d699a509e0e · outbound

This paper cites Snell, K.

Cough Classification using Few-Shot Learning Snell, K

Reference 3

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Observation 8c0bf18a-440a-4207-8b25-0eae3d4dea73 · outbound

This paper cites Laguarta, F.

Cough Classification using Few-Shot Learning Laguarta, F

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.119232Z

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Observation 0b416ae2-6298-4bf9-9ba5-91ca18d095e0 · outbound

This paper cites an unresolved cited work.

Cough Classification using Few-Shot Learning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.134840Z

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Observation 21caf776-bf6e-4a1b-9cc1-31d462b58acf · outbound

This paper cites Deshpande et al., ”A review of deep learning techniques for COVID- 19 detection using radiological images,”Artificial Intelligence Review, vol.

Cough Classification using Few-Shot Learning Deshpande et al., ”A review of deep learning techniques for COVID- 19 detection using radiological images,”Artificial Intelligence Review, vol

Reference 9

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Observation e5c8194e-46da-4873-89d8-c130c8f6a048 · outbound

This paper cites Nanni, S.

Cough Classification using Few-Shot Learning Nanni, S

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.141325Z

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Observation d7e37102-db87-4694-bdb2-5ca88b799c52 · outbound

This paper cites Antoniou, H.

Cough Classification using Few-Shot Learning Antoniou, H

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.144646Z

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Observation 78b6b9d3-1e48-4e08-8ff1-fa0e9ad657f1 · outbound

This paper cites an unresolved cited work.

Cough Classification using Few-Shot Learning Unresolved cited work

Reference 12

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Observation 526e2e29-b583-4cee-afb7-9b6125d75ea0 · outbound

This paper cites an unresolved cited work.

Cough Classification using Few-Shot Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.150832Z

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Observation 24eddefa-a303-4bff-879a-c6ea8bf97789 · outbound

This paper cites Chen et al., ”A new episodic training method for few-shot learning,” Neural Networks, vol.

Cough Classification using Few-Shot Learning Chen et al., ”A new episodic training method for few-shot learning,” Neural Networks, vol

Reference 14

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Observation 25a927e4-3b88-43eb-acf0-c60691ae2c7d · outbound

This paper cites Ravi and A.

Cough Classification using Few-Shot Learning Ravi and A

Reference 15

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Observation 6b2b0249-a42e-4652-9d55-429352efcae0 · outbound

This paper cites Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis.

Cough Classification using Few-Shot Learning Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

Reference 16

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Observation d81dfb1e-ba7e-474f-9a47-7860d61c1ead · outbound

This paper cites Orlandic, T.

Cough Classification using Few-Shot Learning Orlandic, T

Reference 17

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Observation 6b360599-e9af-4353-ba6a-629a8470460b · outbound

This paper cites an unresolved cited work.

Cough Classification using Few-Shot Learning Unresolved cited work

Reference 18

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Observation 0852f903-b286-4b3f-9e45-7422eca6a741 · outbound

This paper cites an unresolved cited work.

Cough Classification using Few-Shot Learning Unresolved cited work

Reference 19

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Observation 8d831d49-402b-4a64-8ab0-944aea335b2f · outbound

This paper cites Transfer learning to detect covid-19 coughs with incremental addition of patient coughs to healthy people’s cough detection models,.

Cough Classification using Few-Shot Learning Transfer learning to detect covid-19 coughs with incremental addition of patient coughs to healthy people’s cough detection models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.171957Z

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Observation 12a0e36a-8cb4-4b71-be09-1e1eabce836e · outbound

This paper cites Predicting a user’s demo- graphic identity from leaked samples of health-tracking wearables and understanding associated risks,.

Cough Classification using Few-Shot Learning Predicting a user’s demo- graphic identity from leaked samples of health-tracking wearables and understanding associated risks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.174934Z

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Observation f116817a-b9fe-48f1-9579-7aae2cb91ae1 · outbound

This paper cites Bag of on-phone ANNs to secure IoT objects using wearable and smartphone biometrics,.

Cough Classification using Few-Shot Learning Bag of on-phone ANNs to secure IoT objects using wearable and smartphone biometrics,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.177934Z

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Observation 879f71c4-5cfc-4bd4-a79a-46834263c0e8 · outbound

This paper cites mWIoTAuth: Multi-wearable data-driven implicit IoT authentication,.

Cough Classification using Few-Shot Learning mWIoTAuth: Multi-wearable data-driven implicit IoT authentication,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.180819Z

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Observation 5371adf6-636f-42de-bd26-3d5c4f8b97ff · outbound

This paper cites Implicit IoT authentication using on-phone ANN models and breathing data,.

Cough Classification using Few-Shot Learning Implicit IoT authentication using on-phone ANN models and breathing data,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.183580Z

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Observation d5c31d39-beac-43d7-8040-4ead19227f1f · outbound

This paper cites Towards reliable wearable-user identifi- cation,.

Cough Classification using Few-Shot Learning Towards reliable wearable-user identifi- cation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.186506Z

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Observation 731d55e4-98e4-4b22-962e-b7a4b4113103 · outbound

This paper cites Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods.

Cough Classification using Few-Shot Learning Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.189413Z

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Observation aa9b0d69-8bb3-4f7c-b739-eba7f3dacd42 · outbound

This paper cites On-phone CNN model-based implicit authentication to secure IoT wearables,.

Cough Classification using Few-Shot Learning On-phone CNN model-based implicit authentication to secure IoT wearables,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.192637Z

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Observation eb001b09-57ba-4906-8b20-2867845ef75b · outbound

This paper cites Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data,.

Cough Classification using Few-Shot Learning Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.195836Z

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Observation 43e35ec7-5700-4b59-83ca-90a3c513a11f · outbound

This paper cites Context-Dependent Implicit Authentica- tion for Wearable Device Users,.

Cough Classification using Few-Shot Learning Context-Dependent Implicit Authentica- tion for Wearable Device Users,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.198782Z

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Observation b1dc9fe1-2ea7-45fb-a877-69be810942c1 · outbound

This paper cites Understanding user concerns and choice of app architectures in designing audio-based mHealth apps,.

Cough Classification using Few-Shot Learning Understanding user concerns and choice of app architectures in designing audio-based mHealth apps,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.201710Z

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Observation 4f1b3321-6d23-4ddc-8171-427240d7ef43 · outbound

This paper cites Design and Implementation of a Remotely Configurable and Manageable Well-being Study,.

Cough Classification using Few-Shot Learning Design and Implementation of a Remotely Configurable and Manageable Well-being Study,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.204552Z

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Observation a136ee42-319c-48e6-87a0-0bfc3d097125 · outbound

This paper cites Estimating sleep duration from temporal factors, daily activities, and smartphone use,.

Cough Classification using Few-Shot Learning Estimating sleep duration from temporal factors, daily activities, and smartphone use,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.207484Z

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Observation 0a0239d2-8ece-406e-b654-35e28f808b81 · outbound

This paper cites Nocturnal cough and snore detection using smartphones in presence of multiple background-noises,.

Cough Classification using Few-Shot Learning Nocturnal cough and snore detection using smartphones in presence of multiple background-noises,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.210411Z

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Observation 85e3c5c9-2c67-4c98-95f8-7ac46b6c0ff2 · outbound

This paper cites Adherence to personal health devices: A case study in diabetes management,.

Cough Classification using Few-Shot Learning Adherence to personal health devices: A case study in diabetes management,

Reference 34

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Observation a318653c-5bbe-49c5-9514-26165979abf5 · outbound

This paper cites Effect of noise on generic cough models,.

Cough Classification using Few-Shot Learning Effect of noise on generic cough models,

Reference 35

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Observation c5afe2ac-f78b-4fb1-98d6-f78aeae519e7 · outbound

This paper cites Environment knowledge-driven generic models to detect coughs from audio recordings,.

Cough Classification using Few-Shot Learning Environment knowledge-driven generic models to detect coughs from audio recordings,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.219495Z

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Observation 7f0b3556-0269-40ff-825f-f8532c05f3f9 · outbound

This paper cites Deriving college students’ phone call patterns to improve student life,.

Cough Classification using Few-Shot Learning Deriving college students’ phone call patterns to improve student life,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.222458Z

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Observation 331d28b4-f2b5-49fe-a912-29b07a8644bb · outbound

This paper cites Visualizing college students’ geo-temporal context-varying significant phone call patterns,.

Cough Classification using Few-Shot Learning Visualizing college students’ geo-temporal context-varying significant phone call patterns,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.225443Z

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Observation cf83dc0d-7f88-466a-a042-feb24fd125d8 · outbound

This paper cites Predicting next call duration: A future direction to promote mental health in the age of lockdown,.

Cough Classification using Few-Shot Learning Predicting next call duration: A future direction to promote mental health in the age of lockdown,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.228625Z

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Observation 7b66e6ab-342d-455b-b0d0-1da9f18f4393 · outbound

This paper cites Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution.

Cough Classification using Few-Shot Learning Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution

Reference 40

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Observation fb245946-3a36-4e3c-8814-48fc95a7f265 · outbound

This paper cites Opportunistic discovery of personal places using multi-source sensor data,.

Cough Classification using Few-Shot Learning Opportunistic discovery of personal places using multi-source sensor data,

Reference 41

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Observation d916de66-5761-4b41-ba46-43914103d1f0 · outbound

This paper cites Opportunistic discovery of personal places using smartphone and fitness tracker data,.

Cough Classification using Few-Shot Learning Opportunistic discovery of personal places using smartphone and fitness tracker data,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.237867Z

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Observation 4a9f91a8-fa40-43f5-8a49-8eaf6a4f7004 · outbound

This paper cites Audio-Based Classification of Insect Species Using Machine Learning Models: Cicada, Beetle, Termite, and Cricket.

Cough Classification using Few-Shot Learning Audio-Based Classification of Insect Species Using Machine Learning Models: Cicada, Beetle, Termite, and Cricket

Reference 43

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Observation b9ab0496-7762-41f6-8538-a2677a6e4e66 · outbound

This paper cites Facial recognition to detect mood and play songs,.

Cough Classification using Few-Shot Learning Facial recognition to detect mood and play songs,

Reference 44

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Observation a578bbf4-301a-4c6e-bfaa-e8d74c1f885c · outbound

This paper cites Few-shot learning in medical imaging: A systematic review,.

Cough Classification using Few-Shot Learning Few-shot learning in medical imaging: A systematic review,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.247216Z

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Observation bc0cb3d9-22c8-4052-a9cd-c607ab5623ea · outbound

This paper cites Transfer learning in medical image classification: A comprehensive review,.

Cough Classification using Few-Shot Learning Transfer learning in medical image classification: A comprehensive review,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.249917Z

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Observation d9860924-ae28-4353-894e-de65868515bc · outbound

This paper cites Multistage transfer learning for improving deep learning performance in medical imaging,.

Cough Classification using Few-Shot Learning Multistage transfer learning for improving deep learning performance in medical imaging,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.252940Z

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Observation 3a6bae40-4627-4c6c-934e-54d11c5e828c · outbound

This paper cites An improved few-shot learning method for tumor image recognition,.

Cough Classification using Few-Shot Learning An improved few-shot learning method for tumor image recognition,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:53.255692Z

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Observation 35d90284-7b7d-4e41-abf5-b6d040910462 · outbound

This paper cites Transfer learning-based COVID- 19 detection from chest X-ray images with reduced training samples,.

Cough Classification using Few-Shot Learning Transfer learning-based COVID- 19 detection from chest X-ray images with reduced training samples,

Reference 49

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Pith citing papers

Observation 1b08901c-6303-4c85-8ded-e00bd2ae0c30 · inbound

HEARTS: Benchmarking LLM Reasoning on Health Time Series cites this paper.

HEARTS: Benchmarking LLM Reasoning on Health Time Series Cough Classification using Few-Shot Learning

Reference 38

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