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Paper Citation Record · LEDGER

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2509.11606.

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

pith.paper-citation-record.v1
2509.11606 v4

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:51:36.423505Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T11:26:15.596039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:27:48.196710Z

Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 045badfa-24fe-41f8-9b60-50dc4965b8bf · outbound

This paper cites Cardiovascular Diseases (CVDs).

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Cardiovascular Diseases (CVDs)

Reference 1

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Observation cb1450ad-f5e2-4d2d-b4bd-2ec99ed3d4f4 · outbound

This paper cites Cardiac Auscultation: Rediscovering the Lost Art,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Cardiac Auscultation: Rediscovering the Lost Art,

Reference 2

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Observation 6a6bf504-1afc-4131-bdd7-645fbe539ce3 · outbound

This paper cites The Lost Art of Clinical Skills,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals The Lost Art of Clinical Skills,

Reference 3

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Observation abc80bac-2313-43f6-92c4-7b0411cdf3e7 · outbound

This paper cites Accuracy of cardiac auscultation in detection of neonatal congenital heart disease by general paediatricians,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Accuracy of cardiac auscultation in detection of neonatal congenital heart disease by general paediatricians,

Reference 4

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Observation 65eab56b-864f-4402-a431-977782e6eeb1 · outbound

This paper cites Abnormal heart sound classification and model interpretability: A transfer learning approach with deep learning,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Abnormal heart sound classification and model interpretability: A transfer learning approach with deep learning,

Reference 5

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Observation 689cd54d-eb6c-4f30-9620-ddcd04d7e2e9 · outbound

This paper cites Attention is all you need,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Attention is all you need,

Reference 6

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Observation 1f7714e5-a3d3-4474-afd5-e21d2bdd2eea · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Diffwave: A versatile diffusion model for audio synthesis,

Reference 7

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Observation 0b17e216-f2b6-4bfb-9275-53e30c2b16bc · outbound

This paper cites Wavegrad: Estimating gradients for waveform generation,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Wavegrad: Estimating gradients for waveform generation,

Reference 8

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Observation beb9bbc8-4b65-4e27-845d-ae2acab49e05 · outbound

This paper cites Listen2yourheart: A self-supervised approach for detecting murmur in heart-beat sounds,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Listen2yourheart: A self-supervised approach for detecting murmur in heart-beat sounds,

Reference 9

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Observation b72b2a9f-76f0-4833-9df9-68d6ee06bc7d · outbound

This paper cites Transfer learning based heart valve disease classification from phonocardiogram signal,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Transfer learning based heart valve disease classification from phonocardiogram signal,

Reference 10

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Observation 2c7c29e0-be5c-4281-8e75-17fd4f770ab0 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 11

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Observation e22425fc-3788-442d-88a1-9646a3fff95a · outbound

This paper cites Wav2vec-based detection and severity level classification of dysarthria from speech,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Wav2vec-based detection and severity level classification of dysarthria from speech,

Reference 12

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Observation 710373d8-a11c-4fbb-b565-aaa8b39e13d1 · outbound

This paper cites an unresolved cited work.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Unresolved cited work

Reference 13

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Observation 31964bdc-cce4-4975-bc70-452d2d9a56b1 · outbound

This paper cites Leatham,Auscultation of the Heart and Phonocardiography, 2nd ed.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Leatham,Auscultation of the Heart and Phonocardiography, 2nd ed

Reference 14

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Observation 6904031f-f61c-462e-b036-29faca401691 · outbound

This paper cites An Open Access Database for the Evaluation of Heart Sound Algorithms,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals An Open Access Database for the Evaluation of Heart Sound Algorithms,

Reference 15

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Observation fb2298a8-0143-46c7-a646-3cb73fcfa3d1 · outbound

This paper cites Acoustic features for the identification of coronary artery disease,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Acoustic features for the identification of coronary artery disease,

Reference 16

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Observation 1041ce9d-0080-4d1b-b5a5-97511a1c9aa9 · outbound

This paper cites Logistic regression-hsmm-based heart sound segmentation,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Logistic regression-hsmm-based heart sound segmentation,

Reference 17

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Observation 61ded22f-2463-474d-bf76-54a7437e4363 · outbound

This paper cites Electrocardiogram signal analysis-an overview,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Electrocardiogram signal analysis-an overview,

Reference 18

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Observation 0459746c-3b11-4e51-8f2d-381093c09b40 · outbound

This paper cites an unresolved cited work.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Unresolved cited work

Reference 19

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Observation 183c8edb-f1b3-4dac-a688-3b2f41209573 · outbound

This paper cites Xie,Biomedical Signal Processing: An ECG Application.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Xie,Biomedical Signal Processing: An ECG Application

Reference 20

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Observation 22d283e8-c50e-4032-b507-dc15f9b13ef2 · outbound

This paper cites Prognostic value of ischemic electrocardiographic findings for cardiovascular mortality in men and women,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Prognostic value of ischemic electrocardiographic findings for cardiovascular mortality in men and women,

Reference 21

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Observation f36d5784-91be-402b-a570-9ac1df78d369 · outbound

This paper cites Practicality meets precision: Wearable vest with integrated multi-channel pcg sensors for effective coronary artery disease pre-screening,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Practicality meets precision: Wearable vest with integrated multi-channel pcg sensors for effective coronary artery disease pre-screening,

Reference 22

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Observation f6965839-4c5c-417a-ae72-f0895236a892 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Librispeech: An ASR corpus based on public domain audio books,

Reference 23

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Observation bc2737b6-eaa9-43d8-8364-4b6e3012e305 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 24

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Observation 5512d994-907f-4498-8f67-b0107cdf202a · outbound

This paper cites Denoising diffusion probabilistic models,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Denoising diffusion probabilistic models,

Reference 25

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Observation 053ac6e5-45e0-43e9-a5f0-032e8c436a95 · outbound

This paper cites Auto-encoding variational Bayes,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Auto-encoding variational Bayes,

Reference 26

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Observation d0eca6b9-7bdf-4729-b514-1397d36e75e8 · outbound

This paper cites Generative adversarial networks,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Generative adversarial networks,

Reference 27

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Observation bf63387e-a610-4ad7-bb60-14e60d93d91f · outbound

This paper cites High fidelity speech synthesis with adversarial networks,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals High fidelity speech synthesis with adversarial networks,

Reference 28

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Observation 188e7a20-4bea-4e20-b46c-cf717649f5b1 · outbound

This paper cites Icentia11k: An unsupervised representation learning dataset for arrhythmia subtype discovery,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Icentia11k: An unsupervised representation learning dataset for arrhythmia subtype discovery,

Reference 29

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Observation e8dd1f8c-9cca-4288-b2c2-4ada50801286 · outbound

This paper cites Ephnogram: A simultaneous electrocardiogram and phonocardiogram database,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Ephnogram: A simultaneous electrocardiogram and phonocardiogram database,

Reference 30

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Observation 1ef96b14-2f66-4402-b85c-b48f0be2fa6c · outbound

This paper cites The impact of the mit-bih arrhythmia database,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals The impact of the mit-bih arrhythmia database,

Reference 31

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Observation 35499390-2c6b-4e03-a55f-c926b8e73eeb · outbound

This paper cites Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio

Reference 32

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Observation 96062bc9-55dc-419a-b613-9e42c0a0fb30 · outbound

This paper cites The advantages of the matthews correlation coefficient (MCC) over f1 score and accuracy in binary classification evaluation,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals The advantages of the matthews correlation coefficient (MCC) over f1 score and accuracy in binary classification evaluation,

Reference 33

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Observation 429d0214-542a-4213-a244-a6b5c5672dad · outbound

This paper cites Optuna: A next-generation hyper- parameter optimization framework,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Optuna: A next-generation hyper- parameter optimization framework,

Reference 34

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Observation 480b8b96-bf1a-46f8-8371-536c20c126ff · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals LoRA: Low-Rank Adaptation of Large Language Models

Reference 35

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Observation 90c6ffa1-3e2f-47a7-b23b-fba62e8fa396 · outbound

This paper cites Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

Reference 36

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Observation 3626b807-2627-474a-b736-832b50ef13a7 · outbound

This paper cites Audio for audio is better? an investigation on transfer learning models for heart sound classification,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Audio for audio is better? an investigation on transfer learning models for heart sound classification,

Reference 37

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Observation f64660da-d0ba-4ce4-b1e6-7271770805e2 · outbound

This paper cites Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using pcg signals,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using pcg signals,

Reference 38

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source=pdf_text observed=2026-08-04T16:51:36.400545Z digest=sha256:400a1a229a0342ad5a0077868dc2b599a9c80e1386f12a2e99da8c6026f7f7c5

Observation 88d7080c-77fd-4015-b8a6-19722101f2ac · outbound

This paper cites Heart Sound Classification Considering Additive Noise and Convolutional Distortion.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Heart Sound Classification Considering Additive Noise and Convolutional Distortion

Reference 39

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Observation cf9a88b7-2c06-493e-a029-ca8ca4d99ff3 · outbound

This paper cites Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning,

Reference 40

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Observation 75af9283-2824-48c8-bff2-deb259b5bb08 · outbound

This paper cites Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods,

Reference 41

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Observation 7f7a1e75-0087-4081-b20d-3ce2e6eadca4 · outbound

This paper cites Cardiovascular disease detection based on deep learning and multi-modal data fusion,.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Cardiovascular disease detection based on deep learning and multi-modal data fusion,

Reference 42

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Pith citing papers

Observation f87584f8-cf93-484a-9500-d081dd3f4656 · inbound

Noise-Robust Contrastive Learning with an MFCC-Conformer For Coronary Artery Disease Detection cites this paper.

Noise-Robust Contrastive Learning with an MFCC-Conformer For Coronary Artery Disease Detection Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

Reference 20

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verified exact
arxiv_id, observed 2026-07-03T02:17:06.472641Z

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source=pdf_text observed=2026-05-16T11:26:15.596039Z digest=sha256:4103280becad0c087a511358eab31501cf1c7404843fba155fbd38a3bc08ca29