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Paper Citation Record · LEDGER

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.16845.

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

pith.paper-citation-record.v1
2507.16845 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:45:23.097601Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

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  • verified fuzzy14
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5b2300f-a23f-41ac-a99f-3a63cce1ee87 · outbound

This paper cites Application of deep learning technique to manage COVID -19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Application of deep learning technique to manage COVID -19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Reference 1

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Source-reported events for the cited work

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Observation 078bd4c0-bd54-4dce-974c-ffa72062a87a · outbound

This paper cites Mixmatch: A ho listic approach to semi-supervised learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Mixmatch: A ho listic approach to semi-supervised learning

Reference 2

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Source-reported events for the cited work

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Observation 8d81a4d1-d3da-4d23-980f-de2909ab4bda · outbound

This paper cites High accuracy classification of COVID -19 coughs using Mel-frequency cepstral coefficients and a convoluti onal neural network with a use case for smart home devices.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning High accuracy classification of COVID -19 coughs using Mel-frequency cepstral coefficients and a convoluti onal neural network with a use case for smart home devices

Reference 3

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Source-reported events for the cited work

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Observation 59b6de63-b153-461b-9d57-509b2198e62f · outbound

This paper cites Unsupervised clustering using pseudo -semi-supervised learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Unsupervised clustering using pseudo -semi-supervised learning

Reference 4

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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 2026-08-22T06:32:14.747728+00:00.

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Observation 7de50c20-ad5c-4f0d-8109-0da2aa5dd581 · outbound

This paper cites CNN architectur es for large-scale audio classification.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning CNN architectur es for large-scale audio classification

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 414e23e9-f542-49db-bc24-00360028d6d4 · outbound

This paper cites An automatic approach based on CNN architecture to detect Covid -19 disease from chest X -ray images.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning An automatic approach based on CNN architecture to detect Covid -19 disease from chest X -ray images

Reference 6

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verified fuzzy
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Source-reported events for the cited work

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Observation ca178123-17fa-4cff-8f97-e43ae65d4ae0 · outbound

This paper cites Graph -based semi - supervised one class support vector machine for detecting abnormal lung sounds.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Graph -based semi - supervised one class support vector machine for detecting abnormal lung sounds

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9cd2192b-9fdc-4340-ada5-58ebab67b871 · outbound

This paper cites Analysis of unlabeled lung sound samples using semi -supervised convolutional neural networks.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Analysis of unlabeled lung sound samples using semi -supervised convolutional neural networks

Reference 8

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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 2026-08-22T06:32:14.747728+00:00.

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Observation af04f9b4-5511-42f6-aed7-4235ffa27c6b · outbound

This paper cites DivideMix: Learning with Noisy Labels as Semi-supervised Learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning DivideMix: Learning with Noisy Labels as Semi-supervised Learning

Reference 9

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Source-reported events for the cited work

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Observation 616bbcc1-f5b0-4954-a991-21193428d0e6 · outbound

This paper cites Improving unsupervised image clustering with robust learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Improving unsupervised image clustering with robust learning

Reference 10

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Source-reported events for the cited work

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Observation 3a0e8b35-ab02-4500-bd54-675ab63aeec8 · outbound

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

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning An open access database for the evaluation of respiratory sound classification algorithms

Reference 11

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Source-reported events for the cited work

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Observation b64a184f-a4a9-42c9-9e71-6cd0aa0400b6 · outbound

This paper cites Selfie: Refurbishing unclean samples for robu st deep learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Selfie: Refurbishing unclean samples for robu st deep learning

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d9efbf88-ee7e-4548-ae87-e482f157471b · outbound

This paper cites A survey on semi -supervised learning.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning A survey on semi -supervised learning

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6e8c8fd8-72c1-4239-9da0-a4067246d401 · outbound

This paper cites Scan: Learning to classify images without labels.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning Scan: Learning to classify images without labels

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T15:45:23.465202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 14f58bd4-e176-4cfe-aefc-f71b1be86eef · outbound

This paper cites World health statistics 2020: monitoring health for the SDGs sustainable development goals.

Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning World health statistics 2020: monitoring health for the SDGs sustainable development goals

Reference 15

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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 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.