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Paper Citation Record · LEDGER

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.10698.

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

pith.paper-citation-record.v1
2506.10698 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:28.503913Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:28.390248Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:24:28.650984Z

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d035d98d-cee9-4f3d-be7a-ec98ffbc7f11 · outbound

This paper cites Accurate clas- sification can assist healthcare professionals in identifying con- ditions such as asthma, bronchitis, and pneumonia from respi- ratory sounds[1].

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Accurate clas- sification can assist healthcare professionals in identifying con- ditions such as asthma, bronchitis, and pneumonia from respi- ratory sounds[1]

Reference 1

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Observation 7091bed1-e3dc-4a71-8eda-5d5e6cd6fa15 · outbound

This paper cites Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification

Reference 2

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Observation 907516e3-2f3b-48c4-a2f8-58f8870969d3 · outbound

This paper cites Fine-tuning for reconstruction and classification.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Fine-tuning for reconstruction and classification

Reference 3

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Observation 146a86be-c8da-4139-b0fd-41bdc0203c46 · outbound

This paper cites an unresolved cited work.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Unresolved cited work

Reference 4

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Observation 9d5d35d2-eb8c-48be-bef7-ab6a4809123a · outbound

This paper cites an unresolved cited work.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Unresolved cited work

Reference 5

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Observation 935a82b3-de8c-4011-95b8-063278b6996d · outbound

This paper cites How the covid-19 pandemic will change the future of critical care,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification How the covid-19 pandemic will change the future of critical care,

Reference 6

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Observation 7021915b-af37-42b0-ad3c-64ec9c5b2f67 · outbound

This paper cites Domain adaptation for medical image anal- ysis: a survey,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Domain adaptation for medical image anal- ysis: a survey,

Reference 7

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Observation 8ad0e6dc-13a0-45b0-b379-f349d0d1c20f · outbound

This paper cites Qui ˜nonero-Candela, M.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Qui ˜nonero-Candela, M

Reference 8

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Observation 873a2b96-1291-4ebd-9094-6bfabebb4694 · outbound

This paper cites Unbiased look at dataset bias,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Unbiased look at dataset bias,

Reference 9

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Observation 2c043096-863f-4e48-88cb-727fb1b08546 · outbound

This paper cites Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classifi- cation,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classifi- cation,

Reference 10

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Observation c8be620e-13b3-461d-abad-7de774c6f09c · outbound

This paper cites Multi-view spectro- gram transformer for respiratory sound classification,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Multi-view spectro- gram transformer for respiratory sound classification,

Reference 11

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Observation 67282aac-c017-46a0-814b-b931a0172351 · outbound

This paper cites BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification

Reference 12

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Source-reported events for the cited work

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Observation 9fc48871-69ae-4ab4-a4b6-c53030f81d8c · outbound

This paper cites Domain-adversarial training of neural networks,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Domain-adversarial training of neural networks,

Reference 13

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Source-reported events for the cited work

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Observation b438d68f-f198-4242-9d59-084fbc0b3df1 · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Stethoscope-guided supervised contrastive learning for cross- domain adaptation on respiratory sound classification,

Reference 14

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Observation 15ef27bd-b678-4c5e-ba96-f6c873bd5886 · outbound

This paper cites A respiratory sound database for the development of auto- mated classification,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification A respiratory sound database for the development of auto- mated classification,

Reference 15

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Observation 6995e0c5-518a-44ac-8700-008547b02275 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Masked autoencoders are scalable vision learners,

Reference 16

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Observation aa3b83e8-0ed4-4b76-bb76-1882d6f186b3 · outbound

This paper cites CLUB: A contrastive log-ratio upper bound of mutual information,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification CLUB: A contrastive log-ratio upper bound of mutual information,

Reference 17

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Observation 5367fced-ad36-40be-abfb-229733cd2205 · outbound

This paper cites Siamese neural networks: An overview,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Siamese neural networks: An overview,

Reference 18

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Observation f2f28ce1-4d30-4d14-b2c1-5cb8b953af0c · outbound

This paper cites A mathematical theory of communication,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification A mathematical theory of communication,

Reference 19

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Observation 61bc1416-1d71-4467-95bc-8a35e64b96ed · outbound

This paper cites Masked autoencoders that lis- ten,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Masked autoencoders that lis- ten,

Reference 20

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Source-reported events for the cited work

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Observation a373c9ac-1cd8-40d9-9805-ac44978809b7 · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Audio set: An ontology and human-labeled dataset for audio events,

Reference 21

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Observation 20561716-2bb1-456c-b033-84cd6091209d · outbound

This paper cites Decoupled weight de- cay regularization,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Decoupled weight de- cay regularization,

Reference 22

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Observation 0f93e4f5-4912-44b7-ac73-ae28ba8971bc · outbound

This paper cites Lungbrn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Lungbrn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm,

Reference 23

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Observation 48819299-1611-4e59-be94-7b4d7efc7cb9 · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,

Reference 24

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Source-reported events for the cited work

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Observation 938d15be-7f8a-4c02-8698-3f8e3f334fe4 · outbound

This paper cites A domain transfer based data augmenta- tion method for automated respiratory classification,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification A domain transfer based data augmenta- tion method for automated respiratory classification,

Reference 25

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Source-reported events for the cited work

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Observation 8fa11277-1941-421d-9fe2-091fcdfbe60a · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 26

Resolution
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Source-reported events for the cited work

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Observation b0c2ec69-7932-4e25-827f-48cd1d72f884 · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Arsc- net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention,

Reference 27

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Source-reported events for the cited work

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Observation f8470029-bba5-4097-aa55-1f18b05b1f75 · outbound

This paper cites Pretraining respiratory sound rep- resentations using metadata and contrastive learning,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Pretraining respiratory sound rep- resentations using metadata and contrastive learning,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2ccfc69c-0df5-46f6-a001-10013fedf59e · outbound

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

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Lung sound classification using co-tuning and stochastic normalization,

Reference 29

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Source-reported events for the cited work

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Observation 2d4ebe8a-5208-41e6-b43c-035a0911faf0 · outbound

This paper cites mixup: Beyond empirical risk minimization,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification mixup: Beyond empirical risk minimization,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ff2171b3-9699-474a-9922-82122774566b · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features,.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Cutmix: Regularization strategy to train strong classifiers with localizable features,

Reference 31

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Source-reported events for the cited work

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Pith citing papers

Observation 7091bed1-e3dc-4a71-8eda-5d5e6cd6fa15 · inbound

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification cites this paper.

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification

Reference 2

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Source-reported events for the cited work

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