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Paper Citation Record · LEDGER

Adaptive Differential Denoising for Respiratory Sounds Classification

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.02505.

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

pith.paper-citation-record.v1
2506.02505 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:57.519096Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:25:00.742123Z

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2c49ae0-1577-4354-9a3d-fbc8046fbdc0 · outbound

This paper cites Adaptive Differential Denoising for Respiratory Sounds Classification.

Adaptive Differential Denoising for Respiratory Sounds Classification Adaptive Differential Denoising for Respiratory Sounds Classification

Reference 1

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Observation fa29d431-0bbc-4b93-ac5c-211674b437ba · outbound

This paper cites an unresolved cited work.

Adaptive Differential Denoising for Respiratory Sounds Classification Unresolved cited work

Reference 2

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Observation a770b438-2658-41a1-adc0-a0e926ff599c · outbound

This paper cites Experimental Setup 3.1.1.

Adaptive Differential Denoising for Respiratory Sounds Classification Experimental Setup 3.1.1

Reference 3

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Observation dc885566-0076-417f-9a77-2748a9cffca2 · outbound

This paper cites We introduce a novel end-to-end implicit denois- ing approach for respiratory sound classification, designed for datasets lacking dedicated denoising procedures.

Adaptive Differential Denoising for Respiratory Sounds Classification We introduce a novel end-to-end implicit denois- ing approach for respiratory sound classification, designed for datasets lacking dedicated denoising procedures

Reference 4

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Observation 3daf6cab-74bf-4416-bc6f-d1c4c5af99eb · outbound

This paper cites 82260024.

Adaptive Differential Denoising for Respiratory Sounds Classification 82260024

Reference 5

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Observation 84a4eed3-bccd-43bd-aa92-ef2df3769188 · outbound

This paper cites Au- tomatic adventitious respiratory sound analysis: A systematic re- view,.

Adaptive Differential Denoising for Respiratory Sounds Classification Au- tomatic adventitious respiratory sound analysis: A systematic re- view,

Reference 6

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Observation ce00a96f-d7e5-4655-9c58-f10ccea379f7 · outbound

This paper cites Telemedicine for healthcare: Capabilities, features, barriers, and applications,.

Adaptive Differential Denoising for Respiratory Sounds Classification Telemedicine for healthcare: Capabilities, features, barriers, and applications,

Reference 7

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Observation fbc2189d-901f-42e4-b2ee-6cd61b429e5e · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 8

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Observation c24940bb-ce15-47ae-a4dc-b562e0256802 · outbound

This paper cites RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification.

Adaptive Differential Denoising for Respiratory Sounds Classification RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification

Reference 9

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Source-reported events for the cited work

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Observation ecc95894-c06e-4936-b511-5109434b7d0d · outbound

This paper cites Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance.

Adaptive Differential Denoising for Respiratory Sounds Classification Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 10

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Observation 4f0a4c98-8a9b-4dd2-bbd9-70dcfd2a0b45 · outbound

This paper cites Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis.

Adaptive Differential Denoising for Respiratory Sounds Classification Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis

Reference 11

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Observation 188e1aa2-3ddd-4965-9d3a-b028cdc07108 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification A domain transfer based data augmenta- tion method for automated respiratory classification,

Reference 12

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Observation d5d611b0-c2ea-418a-b7a8-7f774ae61b3b · outbound

This paper cites Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification.

Adaptive Differential Denoising for Respiratory Sounds Classification Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification

Reference 13

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Source-reported events for the cited work

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Observation dda0536c-de19-4ae3-ae11-d0578a1cbfe9 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 14

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Observation 60367e73-3429-4665-b1a2-f2b933cde2e7 · outbound

This paper cites Respiratory sounds classification by fusing the time-domain and 2d spectral features,.

Adaptive Differential Denoising for Respiratory Sounds Classification Respiratory sounds classification by fusing the time-domain and 2d spectral features,

Reference 15

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Source-reported events for the cited work

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Observation e00aa2b1-8a46-4ce6-b133-7f43a6b4771b · outbound

This paper cites Respi- ratory Sound Classification Based on Swin Transformer,.

Adaptive Differential Denoising for Respiratory Sounds Classification Respi- ratory Sound Classification Based on Swin Transformer,

Reference 16

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Source-reported events for the cited work

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Observation bcebc2ec-86c8-4d4d-a4d9-40e55d194b74 · outbound

This paper cites Lightweight hierarchical transformer combining patch-random and positional encoding for respiratory sound classification,.

Adaptive Differential Denoising for Respiratory Sounds Classification Lightweight hierarchical transformer combining patch-random and positional encoding for respiratory sound classification,

Reference 17

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Observation ded9ca90-c267-4faf-85ff-87ea908ba283 · outbound

This paper cites Speech enhancement using spec- tral subtraction-type algorithms: A comparison and simulation study,.

Adaptive Differential Denoising for Respiratory Sounds Classification Speech enhancement using spec- tral subtraction-type algorithms: A comparison and simulation study,

Reference 18

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Source-reported events for the cited work

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Observation 52d0eb6b-e8d6-41ed-a0df-dc506ff42f0c · outbound

This paper cites Speech enhancement based on hypothesized wiener filtering.

Adaptive Differential Denoising for Respiratory Sounds Classification Speech enhancement based on hypothesized wiener filtering

Reference 19

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Source-reported events for the cited work

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Observation 1913250e-a49b-4ee9-9504-36a782b9a796 · outbound

This paper cites Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis.

Adaptive Differential Denoising for Respiratory Sounds Classification Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis

Reference 20

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Source-reported events for the cited work

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Observation c0808b26-736d-42db-b0ec-88aef5b39706 · outbound

This paper cites An improved method of audio denoising based on wavelet transform,.

Adaptive Differential Denoising for Respiratory Sounds Classification An improved method of audio denoising based on wavelet transform,

Reference 21

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Observation 641829f7-cceb-4c45-a62b-df28f3f782a8 · outbound

This paper cites The physiological basis of high-frequency oscillatory ventilation and current evidence in adults and children: a narrative review,.

Adaptive Differential Denoising for Respiratory Sounds Classification The physiological basis of high-frequency oscillatory ventilation and current evidence in adults and children: a narrative review,

Reference 22

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Source-reported events for the cited work

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Observation 0c0afacf-38bd-4d97-88ec-449ecd079827 · outbound

This paper cites Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation.

Adaptive Differential Denoising for Respiratory Sounds Classification Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation

Reference 23

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Source-reported events for the cited work

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Observation 02c9ba10-0539-47bb-ae9d-aedc331a3dcd · outbound

This paper cites Mossformer: Pushing the performance limit of monaural speech separation using gated single-head transformer with convolution-augmented joint self-attentions,.

Adaptive Differential Denoising for Respiratory Sounds Classification Mossformer: Pushing the performance limit of monaural speech separation using gated single-head transformer with convolution-augmented joint self-attentions,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 26d7123b-e3ce-4b11-857e-d667c3b7f0db · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

Adaptive Differential Denoising for Respiratory Sounds Classification Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 25

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Observation aa253347-795f-445e-9977-1976d1619c67 · outbound

This paper cites Adap- tive frequency filters as efficient global token mixers,.

Adaptive Differential Denoising for Respiratory Sounds Classification Adap- tive frequency filters as efficient global token mixers,

Reference 26

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Source-reported events for the cited work

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Observation defbaf5b-2cfe-4d6b-8bba-acaa997343b9 · outbound

This paper cites Differential Transformer.

Adaptive Differential Denoising for Respiratory Sounds Classification Differential Transformer

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 141249cf-2d3a-4926-8d70-129188244940 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification A respiratory sound database for the development of auto- mated classification,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c38c6f56-e2e6-4958-83c2-7f003f2d6a34 · outbound

This paper cites Icbhi respiratory sound database: Audio classification state- of-the-art on papers with code,.

Adaptive Differential Denoising for Respiratory Sounds Classification Icbhi respiratory sound database: Audio classification state- of-the-art on papers with code,

Reference 29

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Source-reported events for the cited work

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Observation 24b4a43e-95e9-40ed-a2fa-201fc3d00673 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification Lungbrn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm,

Reference 30

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Source-reported events for the cited work

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Observation b693ee95-acd2-4677-95f6-af5528d6b326 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification Lung sound classification using co-tuning and stochastic normalization,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2271319-0c3e-4ee5-ad01-2340ab68d2e5 · outbound

This paper cites Example-based Explanations with Adversarial Attacks for Res- piratory Sound Analysis,.

Adaptive Differential Denoising for Respiratory Sounds Classification Example-based Explanations with Adversarial Attacks for Res- piratory Sound Analysis,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 29c83e05-b99d-4fd4-9891-58df50a2d464 · outbound

This paper cites Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning.

Adaptive Differential Denoising for Respiratory Sounds Classification Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3bcf0a11-f9b0-4d39-bd84-eb8f424ec19d · outbound

This paper cites Masked modeling duo: Towards a universal audio pre-training framework,.

Adaptive Differential Denoising for Respiratory Sounds Classification Masked modeling duo: Towards a universal audio pre-training framework,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f59c6ea8-37e1-474f-a1fb-4bda192e28f3 · outbound

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

Adaptive Differential Denoising for Respiratory Sounds Classification Bts: Bridging text and sound modalities for metadata-aided res- piratory sound classification,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:01.289437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:24:59.699785Z digest=sha256:fbb2656f717445ffd4412106f1224fe5c112f142fdb3708dad60e2c8a9e1c544

Observation 514271c1-89c9-4c59-b848-4ba15c386018 · outbound

This paper cites Multi-View Spec- trogram Transformer for Respiratory Sound Classification,.

Adaptive Differential Denoising for Respiratory Sounds Classification Multi-View Spec- trogram Transformer for Respiratory Sound Classification,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:01.117059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:24:59.789867Z digest=sha256:03511d7ffd6d1ccb03ea9ae67749bae368eaf8b535932b7faf92d7af059d4e4a

Observation 52d17a70-d7d3-487a-9178-27b7a437b8d4 · outbound

This paper cites Lungadapter: Efficient adapting audio spectrogram transformer for lung sound classifica- tion,.

Adaptive Differential Denoising for Respiratory Sounds Classification Lungadapter: Efficient adapting audio spectrogram transformer for lung sound classifica- tion,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:00.955200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:24:59.869084Z digest=sha256:dedab6240e5f7d2727a4345dcc48983b9ff69ecd151fd833e2c307c61c2617c6

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

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

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:24:59.951800Z digest=sha256:930d493150c7e4ec20d6752a66b8ef90afb57fb693243c33a9014b54d358a143

Pith citing papers

Observation b2c49ae0-1577-4354-9a3d-fbc8046fbdc0 · inbound

Adaptive Differential Denoising for Respiratory Sounds Classification cites this paper.

Adaptive Differential Denoising for Respiratory Sounds Classification Adaptive Differential Denoising for Respiratory Sounds Classification

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:00.759009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:24:57.519096Z digest=sha256:7d286d8febcf06cae167ac8366b89c5ba1dce211b81fa90001df2b09a2917055