Paper Citation Record · LEDGER

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.23132.

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

pith.paper-citation-record.v1
2505.23132 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:02.423368Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy13
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a669fe8-7dca-42e9-bbe2-ccb74f38735c · outbound

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

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone How the covid- 19 pandemic will change the future of critical care,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:04.012092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39ca5929-4a18-4938-bf7f-e08413602a4c · outbound

This paper cites The electronic stethoscope,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone The electronic stethoscope,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.844269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b4fec86-07e0-4945-b6a7-9bf4622ec56b · outbound

This paper cites An automated lung sound preprocessing and classification system based onspectral analysis meth- ods,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone An automated lung sound preprocessing and classification system based onspectral analysis meth- ods,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.678592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce83f655-4d83-4dea-9822-da0f13685520 · outbound

This paper cites Automatic detec- tion of patient with respiratory diseases using lung sound analysis,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Automatic detec- tion of patient with respiratory diseases using lung sound analysis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.494192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 210369cf-52e1-4e13-abbf-19789883cacd · outbound

This paper cites Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.337875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20b4d962-0120-4cda-877f-57414f311c73 · outbound

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

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.183441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b1e2dea-5ae8-42be-b2a7-ac30f8ed3999 · outbound

This paper cites Pretraining respiratory sound representa- tions using metadata and contrastive learning,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Pretraining respiratory sound representa- tions using metadata and contrastive learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:03.079855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c41924f5-838a-46fc-9787-969d81871c9f · outbound

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

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:01.909315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68677bce-1c7a-4ef6-ae52-68f9875cade2 · outbound

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

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:01.972902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d6fef2-66f6-4653-b715-1f92e94533e1 · outbound

This paper cites Domain adaptation with struc- tural correspondence learning,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Domain adaptation with struc- tural correspondence learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.975524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7793a804-bae6-40aa-902f-a47b408d018b · outbound

This paper cites Asymmetric tri-training for unsu- pervised domain adaptation,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Asymmetric tri-training for unsu- pervised domain adaptation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.922567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 654ad411-2e21-489f-8812-e6177969eb90 · outbound

This paper cites Deep visual domain adaptation: A survey,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Deep visual domain adaptation: A survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:02.148502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc6d7dcf-660f-4e43-9578-1bca6b8f475d · outbound

This paper cites A survey of unsupervised deep domain adaptation,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone A survey of unsupervised deep domain adaptation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.810104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c35efd7-0ab5-4363-a92b-0c8b0e677ad9 · outbound

This paper cites Supervised contrastive learn- ing,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Supervised contrastive learn- ing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.687193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e13e56a9-1613-4305-80b6-0baa30a51504 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone A simple framework for contrastive learning of visual representations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.616437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91ec0402-e0dd-454b-9584-e35b8d8cb926 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Momentum contrast for unsupervised visual representation learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:02.554777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97f0c727-3582-48f2-a390-b9c466e8895d · outbound

This paper cites AST: Audio Spectrogram Transformer.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone AST: Audio Spectrogram Transformer

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:02.389077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4f4fc4-5a57-496d-874f-a3c0e4c36d00 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone Unsupervised domain adaptation by backpropagation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:02.423368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.