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Paper Citation Record · LEDGER

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.17156.

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

pith.paper-citation-record.v1
2504.17156 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:52:01.427567Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved7
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba201c4b-5136-457e-af84-3242ab57cdac · outbound

This paper cites an unresolved cited work.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 46d77af5-19bb-44f6-8b5e-19876d42ee39 · outbound

This paper cites Ioana, et al.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Ioana, et al

Reference 2

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Source-reported events for the cited work

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Observation c05f65c0-ade0-424d-b57d-0e6ca2f65b3f · outbound

This paper cites Auscultation of the respiratory system.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Auscultation of the respiratory system

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bf59334c-0c52-497b-aaa0-b7feea4ed096 · outbound

This paper cites an unresolved cited work.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 09d58e9c-56f2-414d-8d5b-a66f62978846 · outbound

This paper cites Deep learning -based lung sound analysis for intelligent stethoscope.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Deep learning -based lung sound analysis for intelligent stethoscope

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f7102128-fe53-471a-bdcd-ebd5d831efaf · outbound

This paper cites Artificial intelligence for heart sound classification: A review.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Artificial intelligence for heart sound classification: A review

Reference 6

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Source-reported events for the cited work

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Observation 0158fb3a-4e88-4a2d-9b82-938a6d694228 · outbound

This paper cites Automatic Speech and Voice Disorder Detection using Deep Learning-A Systematic Literature Review.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Automatic Speech and Voice Disorder Detection using Deep Learning-A Systematic Literature Review

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ac5cd0a7-21b5-47c2-942f-efb432c54d62 · outbound

This paper cites AST: Audio Spectrogram Transformer.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification AST: Audio Spectrogram Transformer

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b5040c8-bedb-4a84-9fcc-5cc7b6a7e2b0 · outbound

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

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 9

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unresolved
no resolver link, observed 2026-08-16T10:52:01.359548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f02ff352-0978-4e3a-afc1-be0b74c112ca · outbound

This paper cites Multi-View Spectrogram Transformer for Respiratory Sound Classification.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Multi-View Spectrogram Transformer for Respiratory Sound Classification

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 55531e0e-f9c5-4633-9f97-56fbb477bffb · outbound

This paper cites Ast -sed: An effective sound event detection method based on audio spectrogram transformer.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Ast -sed: An effective sound event detection method based on audio spectrogram transformer

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aed0c752-af76-43b2-b449-d9dd535327d4 · outbound

This paper cites Multiclass categorisation of respiratory sound signals using neural network.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Multiclass categorisation of respiratory sound signals using neural network

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c1879c6-63bf-4dbb-84ad-d171ddc6659a · outbound

This paper cites Convolutional recurrent neural networ ks for polyphonic sound event detection.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Convolutional recurrent neural networ ks for polyphonic sound event detection

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f316ad42-b13a-461c-bd66-cb36ef37c1e1 · outbound

This paper cites Classification of lung sounds using CNN-Attention.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Classification of lung sounds using CNN-Attention

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9f08ec7f-2ae2-44f9-821d-2108924148c3 · outbound

This paper cites Transformer -based approach to pathology diagnosis using audio spectrogram.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Transformer -based approach to pathology diagnosis using audio spectrogram

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 68b26533-b9e9-46a6-9824-9aa32a555f4c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b74e8076-7210-436a-b28d-8f31df28803f · outbound

This paper cites Heart sound classification based on improved MFCC features and convolutional recurrent neural networks.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Heart sound classification based on improved MFCC features and convolutional recurrent neural networks

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 370a9cfd-196b-4419-8238-6dc4959f8616 · outbound

This paper cites HCRNNIDS: Hybrid convolu tional recurrent neural network -based network intrusion detection system.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification HCRNNIDS: Hybrid convolu tional recurrent neural network -based network intrusion detection system

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e82e87c3-3897-4549-8a64-558e1c9d3f8b · outbound

This paper cites Focal Loss for Dense Object Detection.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Focal Loss for Dense Object Detection

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 64f3f475-0125-4d78-bc96-bc4d18d97892 · outbound

This paper cites Sprsound: Open -source sjtu paediatric respiratory sound database.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Sprsound: Open -source sjtu paediatric respiratory sound database

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1eb88947-de82-404e-9a00-d388b2c3b56d · outbound

This paper cites Generalized digital Butterworth filter design.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Generalized digital Butterworth filter design

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 464a5635-6361-458a-8a1a-ff398e6adbe2 · outbound

This paper cites Analysis of respiratory sounds: state of the art.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Analysis of respiratory sounds: state of the art

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a4a3ced0-66e9-41a3-a27c-4fb85a7e5204 · outbound

This paper cites Automatic adventitious respiratory sound analysis: A systematic review.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Automatic adventitious respiratory sound analysis: A systematic review

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 57e2f672-4b24-4820-88b7-fb975733de86 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7b5d3c9a-8588-4ceb-8b82-23630f71ea5f · outbound

This paper cites Understanding and using sensitivity, specificity and predictive values.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Understanding and using sensitivity, specificity and predictive values

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65285388-1261-46c5-9de3-8723367ca15d · outbound

This paper cites Improving the resnet -based respiratory sound classification systems with focal loss.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Improving the resnet -based respiratory sound classification systems with focal loss

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f008b3ee-f73c-4c32-b835-d8b96c989c22 · outbound

This paper cites Classify respiratory abnormality in lung sounds using stft and a fine -tuned resnet18 network.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification Classify respiratory abnormality in lung sounds using stft and a fine -tuned resnet18 network

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d236ab72-ce6d-46c4-9fc8-8540d314f334 · outbound

This paper cites A feature polymerized based two -level ensemble model for respiratory sound classification.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification A feature polymerized based two -level ensemble model for respiratory sound classification

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8217729-6b86-466c-8813-e88d6dc4e848 · outbound

This paper cites An effective lung sound classification system for respiratory disease diagnosis using densenet cnn model with sound pre - processing engine.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification An effective lung sound classification system for respiratory disease diagnosis using densenet cnn model with sound pre - processing engine

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f15e599b-990b-4b24-906e-eef27eb3375c · outbound

This paper cites TRespNET: A dual- route exploratory CNN model for pediatric adventitious respiratory sound identification.

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification TRespNET: A dual- route exploratory CNN model for pediatric adventitious respiratory sound identification

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:52:01.501448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.