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Paper Citation Record · LEDGER

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.06480.

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

pith.paper-citation-record.v1
2311.06480 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:03.175460Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:18:12.986502Z

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 6fc92291-310b-4809-ba98-518f2f006a4f · inbound

Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles cites this paper.

Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:03.175460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:03.175460Z digest=sha256:c82890990de6169186782d89cbeed3346137dfe744a731b44b94fce80e132c07

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

Adaptive Differential Denoising for Respiratory Sounds Classification cites this paper.

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

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:58.174945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:58.174945Z digest=sha256:16122a1cd95ee4b2de023b265b6fd63e41f0f23ade9d7173907030986cb5f4c4

Observation 2c1a2564-6e49-457a-8948-974248b9b12b · inbound

Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification cites this paper.

Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:41:16.589358Z

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=2026-05-08T04:34:47.101044Z digest=sha256:c7c23fc9007102f83361a0db658ee999f966b2e18b77da87c862d8c8d8b602a2

Observation 6f37aada-a1a0-4e9e-801c-983b3f79312e · 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 Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.462259Z

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:a186e8b476d872ae0fee634336515a1ed1e0ab9844be4bf61fbe2d3cd33c988c

Observation f7eeca47-816a-4987-b022-0c85253ba8f0 · inbound

Quality Adaptive Angular Margin Learning for Respiratory Sound Classification cites this paper.

Quality Adaptive Angular Margin Learning for Respiratory Sound Classification Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:12.768626Z

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=2026-06-27T08:18:25.505979Z digest=sha256:2a6f1cc2e122baad2425d29233218da6393f249afc02a3dbdf1e05da6be6ff27

Observation 9e6c7661-c693-4f1a-b07d-e3dd599b8c12 · inbound

Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification cites this paper.

Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:12.988977Z

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=2026-06-27T08:15:53.208374Z digest=sha256:84a68106321800daf38dd302b6a26d768d015008e32856d461bc57547bf6a42d