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Paper Citation Record · LEDGER

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2504.18004.

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

pith.paper-citation-record.v1
2504.18004 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:54.294996Z

measured 25 of 25 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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7963f1a-0c55-466a-8f14-e6fe4bafc9f0 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis On the Opportunities and Risks of Foundation Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6673c1fd-c9e6-458f-bf38-839d2ad8991f · outbound

This paper cites Towards open respiratory acoustic foundation models: Pretraining and benchmarking,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Towards open respiratory acoustic foundation models: Pretraining and benchmarking,

Reference 2

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Observation cbe51aad-6682-4f9a-9622-b56ddd55b239 · outbound

This paper cites HeAR -- Health Acoustic Representations.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis HeAR -- Health Acoustic Representations

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 8209b7ec-feda-4884-b090-de827b5f90fa · outbound

This paper cites Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes,

Reference 4

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Source-reported events for the cited work

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Observation 58610c46-055b-4c0a-9b02-8f5c75ec70d4 · outbound

This paper cites An open access database for the evaluation of respiratory sound classification algorithms,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis An open access database for the evaluation of respiratory sound classification algorithms,

Reference 5

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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.

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Observation 7157f3d1-ca49-48a5-9ec4-5363f3f112cc · outbound

This paper cites Exploring pre-trained general-purpose audio representations for heart murmur detection,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Exploring pre-trained general-purpose audio representations for heart murmur detection,

Reference 6

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Observation 8f34393f-2a20-4b80-bd0a-30e4ad0df8fd · outbound

This paper cites A survey on multimodal large language models,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis A survey on multimodal large language models,

Reference 7

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6e28d11a-8629-424e-9e49-8d159e8151ba · outbound

This paper cites RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 8

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Observation 90461417-b6ce-48fa-b347-43f93bbf5e6f · outbound

This paper cites AST: Audio Spectrogram Transformer,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis AST: Audio Spectrogram Transformer,

Reference 9

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Observation 898e15c9-43b3-4463-9556-16b7ab7b0dc8 · outbound

This paper cites BYOL for Audio: Exploring Pre-trained General-purpose Audio Rep- resentations,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis BYOL for Audio: Exploring Pre-trained General-purpose Audio Rep- resentations,

Reference 10

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Observation 6d4f4935-1a4c-4487-9d5b-2ec4060ec75f · outbound

This paper cites Masked Modeling Duo: Towards a Universal Audio Pre- Training Framework,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Masked Modeling Duo: Towards a Universal Audio Pre- Training Framework,

Reference 11

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 298494ce-18d2-490b-a6e7-ac36c88fd3dc · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis BEATs: Audio Pre-Training with Acoustic Tokenizers,

Reference 12

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Unavailable: canonical work link unavailable.

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Observation e73c1479-a88c-49fc-8ca2-155e08606893 · outbound

This paper cites Audio Set: An ontology and human-labeled dataset for audio events,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Audio Set: An ontology and human-labeled dataset for audio events,

Reference 13

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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.

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Observation 9ed0d4a2-b60f-4a90-9827-eb3234e23c9f · outbound

This paper cites Pretraining Respiratory Sound Rep- resentations using Metadata and Contrastive Learning,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Pretraining Respiratory Sound Rep- resentations using Metadata and Contrastive Learning,

Reference 14

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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.

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Observation 3ed183a4-4263-4a8c-b04d-6f93225c0e7a · outbound

This paper cites Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification,

Reference 15

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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.

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Observation 8bd578fd-07b2-4068-9bf5-aa151413f87a · outbound

This paper cites Bts: Bridging text and sound modalities for metadata-aided respiratory sound classification,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Bts: Bridging text and sound modalities for metadata-aided respiratory sound classification,

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 7b308a60-bf2b-4624-820f-2bbe9eca0930 · outbound

This paper cites Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022,

Reference 17

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Observation d7890c54-9273-4d93-89cd-b7d0f5b37ea4 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals,

Reference 18

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Observation 0608bfd4-660a-4262-bc6b-3d69922159ee · outbound

This paper cites Exploring wav2vec 2.0 model for heart murmur detection,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Exploring wav2vec 2.0 model for heart murmur detection,

Reference 19

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Observation c1ce626f-0bd5-471e-96d7-5cf0331ef01d · outbound

This paper cites Detection of Heart Murmurs in Phonocardiograms with Parallel Hidden Semi-Markov Models,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Detection of Heart Murmurs in Phonocardiograms with Parallel Hidden Semi-Markov Models,

Reference 20

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Source-reported events for the cited work

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Observation ee53db22-06f1-4a19-805d-e61c548dc395 · outbound

This paper cites BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems

Reference 21

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Observation 271cf3b0-45e6-45bc-bcc1-afa545be198d · outbound

This paper cites Detection of atrial fibril- lation from ppg sensor data using variational mode decomposition,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Detection of atrial fibril- lation from ppg sensor data using variational mode decomposition,

Reference 22

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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.

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Observation 65ce1d69-3cb9-4024-809d-58e13e4b8439 · outbound

This paper cites Automated human emotion recognition system using tqwt-based eeg subbands,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Automated human emotion recognition system using tqwt-based eeg subbands,

Reference 23

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Source-reported events for the cited work

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Observation 2834d069-648d-4a58-b5eb-6826ef7ff5cd · outbound

This paper cites SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning,

Reference 24

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Observation 0f574873-28f6-420f-9e4a-8362edd18975 · outbound

This paper cites SoundBeam meets M2D: Target sound extraction with audio foundation model,.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis SoundBeam meets M2D: Target sound extraction with audio foundation model,

Reference 25

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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.

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Pith citing papers

No inbound Pith citation observations are available.