Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:59:53.258414Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:59:53.258414Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:02:28.245356Z
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 18321ded-2c73-4e63-a169-61f1d5a3c1c4 · outbound
Reference 1
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Observation e3fe4ae6-acca-4f1b-bd26-6015d28fda29 · outbound
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
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Observation 4dfb0140-f33b-469b-80d2-2d699a509e0e · outbound
Reference 3
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Observation 8c0bf18a-440a-4207-8b25-0eae3d4dea73 · outbound
Cough Classification using Few-Shot Learning Laguarta, F
Reference 4
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Observation 0b416ae2-6298-4bf9-9ba5-91ca18d095e0 · outbound
Cough Classification using Few-Shot Learning Unresolved cited work
Reference 8
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Observation 21caf776-bf6e-4a1b-9cc1-31d462b58acf · outbound
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
Reference 10
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Observation d7e37102-db87-4694-bdb2-5ca88b799c52 · outbound
Cough Classification using Few-Shot Learning Antoniou, H
Reference 11
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Observation 78b6b9d3-1e48-4e08-8ff1-fa0e9ad657f1 · outbound
Cough Classification using Few-Shot Learning Unresolved cited work
Reference 12
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Observation 526e2e29-b583-4cee-afb7-9b6125d75ea0 · outbound
Cough Classification using Few-Shot Learning Unresolved cited work
Reference 13
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Observation 24eddefa-a303-4bff-879a-c6ea8bf97789 · outbound
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
Cough Classification using Few-Shot Learning Ravi and A
Reference 15
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Observation 6b2b0249-a42e-4652-9d55-429352efcae0 · outbound
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
Cough Classification using Few-Shot Learning Orlandic, T
Reference 17
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Observation 6b360599-e9af-4353-ba6a-629a8470460b · outbound
Cough Classification using Few-Shot Learning Unresolved cited work
Reference 18
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Observation 0852f903-b286-4b3f-9e45-7422eca6a741 · outbound
Cough Classification using Few-Shot Learning Unresolved cited work
Reference 19
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Observation 8d831d49-402b-4a64-8ab0-944aea335b2f · outbound
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
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Observation 12a0e36a-8cb4-4b71-be09-1e1eabce836e · outbound
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
Source-reported events for the cited work
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Observation f116817a-b9fe-48f1-9579-7aae2cb91ae1 · outbound
Cough Classification using Few-Shot Learning Bag of on-phone ANNs to secure IoT objects using wearable and smartphone biometrics,
Reference 22
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Observation 879f71c4-5cfc-4bd4-a79a-46834263c0e8 · outbound
Cough Classification using Few-Shot Learning mWIoTAuth: Multi-wearable data-driven implicit IoT authentication,
Reference 23
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Observation 5371adf6-636f-42de-bd26-3d5c4f8b97ff · outbound
Cough Classification using Few-Shot Learning Implicit IoT authentication using on-phone ANN models and breathing data,
Reference 24
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Observation d5c31d39-beac-43d7-8040-4ead19227f1f · outbound
Cough Classification using Few-Shot Learning Towards reliable wearable-user identifi- cation,
Reference 25
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Observation 731d55e4-98e4-4b22-962e-b7a4b4113103 · outbound
Cough Classification using Few-Shot Learning Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods
Reference 26
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Observation aa9b0d69-8bb3-4f7c-b739-eba7f3dacd42 · outbound
Cough Classification using Few-Shot Learning On-phone CNN model-based implicit authentication to secure IoT wearables,
Reference 27
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Observation eb001b09-57ba-4906-8b20-2867845ef75b · outbound
Cough Classification using Few-Shot Learning Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data,
Reference 28
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Observation 43e35ec7-5700-4b59-83ca-90a3c513a11f · outbound
Cough Classification using Few-Shot Learning Context-Dependent Implicit Authentica- tion for Wearable Device Users,
Reference 29
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Observation b1dc9fe1-2ea7-45fb-a877-69be810942c1 · outbound
Cough Classification using Few-Shot Learning Understanding user concerns and choice of app architectures in designing audio-based mHealth apps,
Reference 30
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Observation 4f1b3321-6d23-4ddc-8171-427240d7ef43 · outbound
Cough Classification using Few-Shot Learning Design and Implementation of a Remotely Configurable and Manageable Well-being Study,
Reference 31
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Observation a136ee42-319c-48e6-87a0-0bfc3d097125 · outbound
Cough Classification using Few-Shot Learning Estimating sleep duration from temporal factors, daily activities, and smartphone use,
Reference 32
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Observation 0a0239d2-8ece-406e-b654-35e28f808b81 · outbound
Cough Classification using Few-Shot Learning Nocturnal cough and snore detection using smartphones in presence of multiple background-noises,
Reference 33
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Observation 85e3c5c9-2c67-4c98-95f8-7ac46b6c0ff2 · outbound
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
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
Cough Classification using Few-Shot Learning Environment knowledge-driven generic models to detect coughs from audio recordings,
Reference 36
Source-reported events for the cited work
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Observation 7f0b3556-0269-40ff-825f-f8532c05f3f9 · outbound
Cough Classification using Few-Shot Learning Deriving college students’ phone call patterns to improve student life,
Reference 37
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Observation 331d28b4-f2b5-49fe-a912-29b07a8644bb · outbound
Cough Classification using Few-Shot Learning Visualizing college students’ geo-temporal context-varying significant phone call patterns,
Reference 38
Source-reported events for the cited work
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Observation cf83dc0d-7f88-466a-a042-feb24fd125d8 · outbound
Cough Classification using Few-Shot Learning Predicting next call duration: A future direction to promote mental health in the age of lockdown,
Reference 39
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Observation 7b66e6ab-342d-455b-b0d0-1da9f18f4393 · outbound
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
Cough Classification using Few-Shot Learning Opportunistic discovery of personal places using multi-source sensor data,
Reference 41
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Unavailable: canonical work link unavailable.
Observation d916de66-5761-4b41-ba46-43914103d1f0 · outbound
Cough Classification using Few-Shot Learning Opportunistic discovery of personal places using smartphone and fitness tracker data,
Reference 42
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Observation 4a9f91a8-fa40-43f5-8a49-8eaf6a4f7004 · outbound
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
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
Cough Classification using Few-Shot Learning Few-shot learning in medical imaging: A systematic review,
Reference 45
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Observation bc0cb3d9-22c8-4052-a9cd-c607ab5623ea · outbound
Cough Classification using Few-Shot Learning Transfer learning in medical image classification: A comprehensive review,
Reference 46
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Observation d9860924-ae28-4353-894e-de65868515bc · outbound
Cough Classification using Few-Shot Learning Multistage transfer learning for improving deep learning performance in medical imaging,
Reference 47
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Observation 3a6bae40-4627-4c6c-934e-54d11c5e828c · outbound
Cough Classification using Few-Shot Learning An improved few-shot learning method for tumor image recognition,
Reference 48
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Observation 35d90284-7b7d-4e41-abf5-b6d040910462 · outbound
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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Unavailable: canonical work link unavailable.
Observation 1b08901c-6303-4c85-8ded-e00bd2ae0c30 · inbound
HEARTS: Benchmarking LLM Reasoning on Health Time Series Cough Classification using Few-Shot Learning
Reference 38
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