Paper Citation Record · LEDGER

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2505.23834.

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

pith.paper-citation-record.v1
2505.23834 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:17:05.573514Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:17:02.012735Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:17:05.655007Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy26
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 701ed8d1-e9e4-45e7-b03b-2dc2c49e7c01 · outbound

This paper cites Feature Collapse.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Feature Collapse

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:11.147184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 90bb45f6-9bda-448d-a2b4-202c7d64747c · outbound

This paper cites Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:17:05.720542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86d410f2-0628-4c16-ab70-403396d56315 · outbound

This paper cites Dataset This study uses the ICBHI 2017 dataset [16], comprising 6,898 recordings from 126 subjects.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Dataset This study uses the ICBHI 2017 dataset [16], comprising 6,898 recordings from 126 subjects

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:10.877560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4bd84ea-1aad-495a-ab4a-d3df69fa15e2 · outbound

This paper cites Performance on the ICBHI Dataset We evaluated our method on the ICBHI dataset using the of- ficial 60/40 (train/test) split.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Performance on the ICBHI Dataset We evaluated our method on the ICBHI dataset using the of- ficial 60/40 (train/test) split

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:10.717001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a08ee4d2-8fc1-4280-9597-88c0a495ea5a · outbound

This paper cites an unresolved cited work.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:17:10.514743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05c96bc1-61ae-4309-95d5-a6e9284116d8 · outbound

This paper cites an unresolved cited work.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:17:10.277052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b860a02-6e81-49e8-ade6-f829a57c4de4 · outbound

This paper cites Computerized respiratory sounds in patients with copd: a systematic review,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Computerized respiratory sounds in patients with copd: a systematic review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:10.060029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57c5898b-8312-4db2-85be-c8c0a501d848 · outbound

This paper cites Automatic detection of patient with respiratory diseases using lung sound analysis,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Automatic detection of patient with respiratory diseases using lung sound analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:09.888610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50fa7c4c-a138-470e-9ebc-b8896ff84b2b · outbound

This paper cites Intra-patient vari- ability in tacrolimus exposure: causes, consequences for clinical management,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Intra-patient vari- ability in tacrolimus exposure: causes, consequences for clinical management,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:09.701743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a552ab3b-5e62-400d-b6f4-65a8abe07458 · outbound

This paper cites Inter-relationships between inflammatory markers in patients with stable copd with bronchitis: intra-patient and inter- patient variability,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Inter-relationships between inflammatory markers in patients with stable copd with bronchitis: intra-patient and inter- patient variability,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:09.526906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c2c338a-5b48-4def-9f77-a21e21a5bcd5 · outbound

This paper cites Lung sound classifi- cation using cepstral-based statistical features,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Lung sound classifi- cation using cepstral-based statistical features,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:09.281910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e24cdb96-2c89-448d-85ef-ed7143fab7f4 · outbound

This paper cites Automatic classification of lung sounds using machine learning algorithms,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Automatic classification of lung sounds using machine learning algorithms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:09.042362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cfc51b9-d818-4a96-9b14-fb4b7ed36de9 · outbound

This paper cites Lung sounds classifica- tion using convolutional neural networks,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Lung sounds classifica- tion using convolutional neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:08.854988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b241a5f-ef6a-438a-952d-6019f78fe2ab · outbound

This paper cites Automated lung sound classification using a hybrid cnn-lstm network and fo- cal loss function,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Automated lung sound classification using a hybrid cnn-lstm network and fo- cal loss function,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:08.609574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 354b3788-6a0d-4ed3-ba02-8ce94fab89a9 · outbound

This paper cites Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classifi- cation,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classifi- cation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:08.419767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9fd666b5-6363-4ebb-ab69-6b539e47afe7 · outbound

This paper cites Stethoscope-guided supervised contrastive learning for cross- domain adaptation on respiratory sound classification,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Stethoscope-guided supervised contrastive learning for cross- domain adaptation on respiratory sound classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:08.135079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0950bec-b4d8-4834-9279-bdcd2d17e469 · outbound

This paper cites Pretraining respiratory sound rep- resentations using metadata and contrastive learning,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Pretraining respiratory sound rep- resentations using metadata and contrastive learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.966364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c8d6da0-2b55-4b26-96fc-9366ca1e1aa8 · outbound

This paper cites BTS: Bridging text and sound modalities for metadata-aided respiratory sound classification,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses BTS: Bridging text and sound modalities for metadata-aided respiratory sound classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.803211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ed541e96-28a1-42cb-90cd-5e63a13ff4e5 · outbound

This paper cites Prevalence of neural col- lapse during the terminal phase of deep learning training,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Prevalence of neural col- lapse during the terminal phase of deep learning training,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.635202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 345d63d1-0d8a-4a5a-a07a-70b8f8ea9ae0 · outbound

This paper cites BEATs: Audio pre-training with acoustic to- kenizers,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses BEATs: Audio pre-training with acoustic to- kenizers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.437322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b8ecae2-352e-41a6-8bd7-51f32081eb2b · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Audio set: An ontology and human-labeled dataset for audio events,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.271812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5226349-979a-431f-baec-679f24c5e809 · outbound

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

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses A respiratory sound database for the development of auto- mated classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:07.075939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5650baae-1ff4-45d7-81d5-8d61fd28bd27 · outbound

This paper cites Fisher linear discriminant analysis,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Fisher linear discriminant analysis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.880024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83b59f65-d3cc-4a70-a22f-3498b3e2385b · outbound

This paper cites Im- agenet: A large-scale hierarchical image database,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Im- agenet: A large-scale hierarchical image database,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.729955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a302b9ac-7c2a-4b9f-8a2f-828365012597 · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.528179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92994143-db71-41cf-a3fd-4ac4e7118cd0 · outbound

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

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses RespireNet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.353846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1bb189e2-1c88-422b-aa83-a64ed4ca2a72 · outbound

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

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses Lung sound classification using co-tuning and stochastic normalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.160182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4749a069-1a9b-481f-b205-3e7831cff2f6 · outbound

This paper cites PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:06.001344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3fc092d9-8701-4b06-a52a-65aa20127f62 · outbound

This paper cites AST: Audio spectrogram transformer,.

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses AST: Audio spectrogram transformer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:05.858221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 90bb45f6-9bda-448d-a2b4-202c7d64747c · inbound