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Paper Citation Record · LEDGER

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14032.

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

pith.paper-citation-record.v1
2305.14032 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:01.909315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.620807Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone cites this paper.

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.

source=pdf_text observed=2026-08-07T12:56:01.909315Z digest=sha256:b3a21065040bf3952b3277dd958af8c1ae4ef9a410a5efa9f2701a4a0f20bdc7

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

Adaptive Differential Denoising for Respiratory Sounds Classification cites this paper.

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

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:58.457335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:58.457335Z digest=sha256:87c9543100ad1c776900d6eee751437f4b25b88528864f183deb27fb5156d0ce

Observation 192993de-5ed5-4ca8-bf02-8e34dd9e8f15 · inbound

C2GA: A Class-Controllable Generative Augmentation Framework for Respiratory Sound Classification cites this paper.

C2GA: A Class-Controllable Generative Augmentation Framework for Respiratory Sound Classification Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.448181Z

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=2026-06-28T12:39:47.668919Z digest=sha256:7ad90ed38fa4b15a943b1f332478ddd8809f437348f0066e9cc4c84f3d0b601b

Observation 8ef0ff1a-0bbe-4799-8990-fdff9afb4a8d · inbound

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification cites this paper.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.622225Z

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=arxiv_source observed=2026-06-27T15:05:31.609683Z digest=sha256:3329c0cfd03d37597e8b64c286ebcf42d5966800e02d6974e6c557559d60d2b0