Paper Citation Record · LEDGER

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.00734.

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

pith.paper-citation-record.v1
2502.00734 v1

Coverage vector

measured 53 of 53 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:59.951800Z

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

Source: pith, observed 2026-08-07T11:25:00.071233Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 445c6a4a-f447-46bc-b105-dbfeff7c445f · outbound

This paper cites World health statistics 2022: monitoring health for the sdgs, sustainable development goals,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning World health statistics 2022: monitoring health for the sdgs, sustainable development goals,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.980399Z

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Observation 633e48e5-995c-49b9-a185-a64d96d796b1 · outbound

This paper cites Projections of global mor- tality and burden of disease from 2002 to 2030,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Projections of global mor- tality and burden of disease from 2002 to 2030,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.972620Z

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Observation ece80ddd-a10f-497e-9a90-128dc908d5bd · outbound

This paper cites Who global progress report on tuberculosis elimination,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Who global progress report on tuberculosis elimination,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.964651Z

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Observation cb547ec1-a4f2-4476-b243-a6c7414c1cff · outbound

This paper cites The global im- pact of respiratory disease–second edition. sheffield, eu- ropean respiratory society,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning The global im- pact of respiratory disease–second edition. sheffield, eu- ropean respiratory society,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.956844Z

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Observation a4f8f3cc-b8bd-4c31-b2cc-b1e23fc5b214 · outbound

This paper cites Funda- mentals of lung auscultation,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Funda- mentals of lung auscultation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.948722Z

Source-reported events for the cited work

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Observation 2419c746-ccee-49ba-b285-d545b6f18fbe · outbound

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

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Automatic adventitious respiratory sound analysis: A systematic review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.940382Z

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Observation 7920180f-e8aa-41eb-abfe-287e8c063ef7 · outbound

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

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Analysis of respiratory sounds: state of the art,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.931935Z

Source-reported events for the cited work

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Observation f7b3aed0-4cad-49b2-923d-30b60ca157ee · outbound

This paper cites New parameters for respi- ratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning New parameters for respi- ratory sound classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.923263Z

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Observation 5e350015-e71a-4c40-8026-1b0058f5deae · outbound

This paper cites Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.914568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 346a53ee-6cef-4928-b479-fd21bc40f544 · outbound

This paper cites Lungrn+ nl: An improved ad- ventitious lung sound classification using non-local block resnet neural network with mixup data augmentation.,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Lungrn+ nl: An improved ad- ventitious lung sound classification using non-local block resnet neural network with mixup data augmentation.,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.905751Z

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Observation 487a3f39-7fa9-4034-8e03-39c92db50e36 · outbound

This paper cites Automated lung sound classification using a hy- brid cnn-lstm network and focal loss function,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Automated lung sound classification using a hy- brid cnn-lstm network and focal loss function,

Reference 11

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Observation 4cdf6bf9-3a34-425a-b95e-214148167c5e · outbound

This paper cites Adversarial fine-tuning using generated res- piratory sound to address class imbalance,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Adversarial fine-tuning using generated res- piratory sound to address class imbalance,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.888869Z

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Observation e51c46bd-25c3-4dac-9eef-ee7c210c092c · outbound

This paper cites Repaugment: Input-agnostic representation-level augmentation for respiratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Repaugment: Input-agnostic representation-level augmentation for respiratory sound classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.880619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1919c3c-5120-4c9b-b952-b0b89b446be9 · outbound

This paper cites Towards enhanced clas- sification of abnormal lung sound in multi-breath: A light weight multi-label and multi-head attention classification method,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Towards enhanced clas- sification of abnormal lung sound in multi-breath: A light weight multi-label and multi-head attention classification method,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.872069Z

Source-reported events for the cited work

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Observation 3d7b23bd-b770-4886-b414-5b9a436eea65 · outbound

This paper cites Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,

Reference 15

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Observation 8504618d-3fe8-441f-88d8-71ecc0e3cfb2 · outbound

This paper cites A lightweight cnn model for detect- ing respiratory diseases from lung auscultation sounds using emd-cwt-based hybrid scalogram,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning A lightweight cnn model for detect- ing respiratory diseases from lung auscultation sounds using emd-cwt-based hybrid scalogram,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.857857Z

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Observation b8c8f240-18b2-4b1e-9625-94c7f50b5fa1 · outbound

This paper cites Classification of auscultation sounds into objective spirometry findings using mvmd and 3d cnn,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Classification of auscultation sounds into objective spirometry findings using mvmd and 3d cnn,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.849719Z

Source-reported events for the cited work

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Observation fd48a4be-f0f5-46f6-9d2e-0caaab49a823 · outbound

This paper cites Ofgst-swin: Swin transformer utilizing overlap fusion-based generalized s-transform for respiratory cy- cle classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Ofgst-swin: Swin transformer utilizing overlap fusion-based generalized s-transform for respiratory cy- cle classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.841731Z

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Observation 9fcd8104-41fd-4840-b41a-baca2b5fccbd · outbound

This paper cites Triple- classification of respiratory sounds using optimized s- transform and deep residual networks,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Triple- classification of respiratory sounds using optimized s- transform and deep residual networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.832845Z

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Observation 8f2f6e56-a86c-42dd-adf3-167cca12ed03 · outbound

This paper cites Automatic classification of large-scale respira- tory sound dataset based on convolutional neural net- work,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Automatic classification of large-scale respira- tory sound dataset based on convolutional neural net- work,

Reference 20

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Observation 44dc7a09-e9fd-4338-9df8-01b1a54bd9c5 · outbound

This paper cites Lungbrn: A smart digital stethoscope for de- tecting respiratory disease using bi-resnet deep learn- ing algorithm,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Lungbrn: A smart digital stethoscope for de- tecting respiratory disease using bi-resnet deep learn- ing algorithm,

Reference 21

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Observation c3345da1-b742-4e45-8393-6d0ee499ceef · outbound

This paper cites Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial at- tention,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial at- tention,

Reference 22

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Observation 524ec2c3-d245-4ef8-a97f-84ea0c1078cb · outbound

This paper cites Lung sounds classification using convolutional neural net- works,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Lung sounds classification using convolutional neural net- works,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.797987Z

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Observation 4a39fd88-e3f8-483d-b40d-cd73cb2156e6 · outbound

This paper cites Gammatone- gram based triple classification of lung sounds using deep convolutional neural network with transfer learn- ing,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Gammatone- gram based triple classification of lung sounds using deep convolutional neural network with transfer learn- ing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.789409Z

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Observation 3926663e-9472-4761-8090-eb2b7e0b67da · outbound

This paper cites Clas- sification of adventitious sounds combining cochleogram and vision transformers,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Clas- sification of adventitious sounds combining cochleogram and vision transformers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.781077Z

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Observation 9b03ef64-5281-4ebc-84b7-e3c68eb5b532 · outbound

This paper cites Feature extraction of lung sounds based on bispectrum analysis,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Feature extraction of lung sounds based on bispectrum analysis,

Reference 26

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Observation 718ab97f-6d9d-4d1c-9256-30d64f57ebc6 · outbound

This paper cites Automatic lung health screening using respiratory sounds,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Automatic lung health screening using respiratory sounds,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.767165Z

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Observation 0822e204-90a8-45a6-8ede-807622f6dd4e · outbound

This paper cites Convolutional neu- ral networks based efficient approach for classification of lung diseases,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Convolutional neu- ral networks based efficient approach for classification of lung diseases,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.759424Z

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Observation c29939c3-8576-424c-90ec-28f8aa56ed80 · outbound

This paper cites Masked modeling duo vision transformer with multi-layer feature fusion on respiratory sound clas- sification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Masked modeling duo vision transformer with multi-layer feature fusion on respiratory sound clas- sification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.751471Z

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Observation c378bd01-27c0-4400-88f6-4d1044a672f5 · outbound

This paper cites Patch-mix contrastive learning with audio spectrogram transformer on respi- ratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Patch-mix contrastive learning with audio spectrogram transformer on respi- ratory sound classification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.743230Z

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Observation b4c697cf-50ed-4a6f-b416-b07f8320fcc4 · outbound

This paper cites Ef- ficientvit: Lightweight multi-scale attention for high- resolution dense prediction,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Ef- ficientvit: Lightweight multi-scale attention for high- resolution dense prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.735237Z

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Observation 72868e18-db5f-46c8-90c8-02a41bced818 · outbound

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

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Deep learning-based lung sound analysis for intelligent stethoscope,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.726416Z

Source-reported events for the cited work

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Observation 0f12b5bc-b9d1-4058-9cd3-4d33ccfe380c · outbound

This paper cites Patch-level contrastive embedding learning for respiratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Patch-level contrastive embedding learning for respiratory sound classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.718496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 642ebd98-9431-4826-b65f-44155e29fddd · outbound

This paper cites Contrastive embeddind learning method for respiratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Contrastive embeddind learning method for respiratory sound classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.710666Z

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Observation 0ed8f9b5-2e30-45a1-97db-941827090729 · outbound

This paper cites Pretraining respiratory sound representations using metadata and contrastive learning,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Pretraining respiratory sound representations using metadata and contrastive learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.702667Z

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Observation 9c522449-e682-4e3e-a200-c55fe54d2976 · outbound

This paper cites Stethoscope-guided supervised contrastive learn- ing for cross-domain adaptation on respiratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Stethoscope-guided supervised contrastive learn- ing for cross-domain adaptation on respiratory sound classification,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.694961Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9704cee-5330-4670-87e6-e41753486867 · outbound

This paper cites Unsupervised deep embedding for clustering analysis,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Unsupervised deep embedding for clustering analysis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.686370Z

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Observation 4592c948-dab2-4b7c-9f8a-209059fe6c9f · outbound

This paper cites Deep k-means: Jointly clustering with k-means and learning representa- tions,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Deep k-means: Jointly clustering with k-means and learning representa- tions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.678327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33688be6-5357-4d63-aeca-71d3823d6ac2 · outbound

This paper cites Joint unsupervised learning of deep representations and image clusters,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Joint unsupervised learning of deep representations and image clusters,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.670531Z

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Observation fc55e5bb-bac7-44a2-817e-99c7b6d78e8c · outbound

This paper cites Deep adaptive image clustering,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Deep adaptive image clustering,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.662637Z

Source-reported events for the cited work

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Observation 0ccb4345-ac0a-434f-a558-6524bfd137b9 · outbound

This paper cites Adaptive self-paced deep clustering with data augmentation,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Adaptive self-paced deep clustering with data augmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.654736Z

Source-reported events for the cited work

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Observation d82c8612-fa87-4dc0-8e97-cebbf5e6a665 · outbound

This paper cites A frame- work for deep constrained clustering,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning A frame- work for deep constrained clustering,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.646288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a910fc83-42da-4ecc-8603-d3971fcf101d · outbound

This paper cites Agglomerative constrained clus- tering through similarity and distance recalculation,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Agglomerative constrained clus- tering through similarity and distance recalculation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.637920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f530bf51-504e-4cd8-8db5-cd00f3fcdf4e · outbound

This paper cites A domain transfer based data augmentation method for automated respiratory clas- sification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning A domain transfer based data augmentation method for automated respiratory clas- sification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.629798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03ded406-58e8-4d76-bbe5-b79b3b3e2002 · outbound

This paper cites An ensemble of deep learning frame- works for predicting respiratory anomalies.,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning An ensemble of deep learning frame- works for predicting respiratory anomalies.,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.621395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11d1538c-8510-4c48-b02e-83e427811b68 · outbound

This paper cites Lung sound classifica- tion using co-tuning and stochastic normalization,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Lung sound classifica- tion using co-tuning and stochastic normalization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.613155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34b15fc8-2886-411c-8697-39d10cfa799a · outbound

This paper cites Adventitious respiratory classification using attentive residual neural networks,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Adventitious respiratory classification using attentive residual neural networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.604823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e96734f8-a751-4baf-91a2-9b7c8ef85676 · outbound

This paper cites Cnn-moe based framework for classifi- cation of respiratory anomalies and lung disease detec- tion,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Cnn-moe based framework for classifi- cation of respiratory anomalies and lung disease detec- tion,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.596104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be3422e4-90dd-4309-9b59-065cb184b2e1 · outbound

This paper cites Prototype learning for interpretable respiratory sound analysis,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Prototype learning for interpretable respiratory sound analysis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.586770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a4cafa2-7301-49e6-a5e9-22850e8c6fec · outbound

This paper cites Example-based explanations with adversarial attacks for respiratory sound analysis,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Example-based explanations with adversarial attacks for respiratory sound analysis,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.577644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a494f62-98d1-4737-ac6f-a928fb73355d · outbound

This paper cites Deep neural network for res- piratory sound classification in wearable devices enabled by patient specific model tuning,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Deep neural network for res- piratory sound classification in wearable devices enabled by patient specific model tuning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.568799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76902115-1aa1-4987-ab80-78bb9d121fdc · outbound

This paper cites Noise masking recurrent neural network for respiratory sound classification,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Noise masking recurrent neural network for respiratory sound classification,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.559554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5000a53b-3da4-4b7d-acac-37e49633d050 · outbound

This paper cites Diagnosis of covid- 19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones,.

CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning Diagnosis of covid- 19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:00:20.550229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 73ec4b08-be09-4444-8419-7dc55187281a · inbound

Adaptive Differential Denoising for Respiratory Sounds Classification cites this paper.

Adaptive Differential Denoising for Respiratory Sounds Classification CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:25:00.127210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.