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Paper Citation Record · LEDGER

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition

As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2507.09161.

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

pith.paper-citation-record.v1
2507.09161 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:06:09.844859Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9fb2a21-c8b0-46b3-9de0-8223268c477f · outbound

This paper cites Large Language Model-based Nonnegative Matrix Factorization For Cardiorespiratory Sound Separation.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Large Language Model-based Nonnegative Matrix Factorization For Cardiorespiratory Sound Separation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.791935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.791935Z digest=sha256:5ab3cdd5e322b35b773d0fd19e411a0259e829a1d51b19debfe8a6b63564b0b9

Observation aed4ff5c-a179-4115-b1f1-bbea20e5175e · outbound

This paper cites A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.798217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.798217Z digest=sha256:d8003fcbf7b08874a3ddd16c76014f2a703b19406d38161f126b018dd734dae1

Observation 4f1e4142-682c-4831-b6a1-bfd07ab57cc0 · outbound

This paper cites MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring - A Comprehensive Review.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring - A Comprehensive Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.803700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.803700Z digest=sha256:67e786eb7ad8cc0846080d3c5e47fdc40558a331cc6b77b280d0345e209f7816

Observation 350fc196-d2bc-49dc-a578-de27b6aed46b · outbound

This paper cites Design and Implementation of an IoT-based Respiratory Motion Sensor.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Design and Implementation of an IoT-based Respiratory Motion Sensor

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:06:10.183454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:06:09.808608Z digest=sha256:f1915e2e391de3bf46bce1a549d97d9bb6729e75253a2ad1991c410c05e8a127

Observation baa368a4-ac1f-4b12-8c87-15a0a362435b · outbound

This paper cites an unresolved cited work.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:06:10.253229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:06:09.815751Z digest=sha256:75ad5555be70cf649faa68c260645cb13f050c69c204d71bfae3c49ff49843ad

Observation 63a7b069-9b68-4ab2-9242-3c9aa518cd70 · outbound

This paper cites Clinical IoT in Practice: A Novel Design and Implementation of a Multi-functional Digital Stethoscope for Remote Health Monitoring,.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Clinical IoT in Practice: A Novel Design and Implementation of a Multi-functional Digital Stethoscope for Remote Health Monitoring,

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T18:06:09.906330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:06:09.820816Z digest=sha256:fe735d3ae2fa8ae7dd788ed9c8b5edf88e58921c441c5c7d949448d592e6c218

Observation 90c9559f-7806-4bf4-a2ae-cc1a1edc2827 · outbound

This paper cites Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.826384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.826384Z digest=sha256:55140ecc6aa5ea8c6342e6a7f6278a28f7a0de7d88d85a1947369cedcd1f151f

Observation 1fd3a9f1-0e85-43a8-803f-93199e768cbf · outbound

This paper cites an unresolved cited work.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:06:10.237866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:06:09.831238Z digest=sha256:4de83e5b3c441f453104962f1e14a90625f37a068eb972322472bed8f373ba85

Observation 9f1dd271-2ab9-46e2-b605-b41a239ac42c · outbound

This paper cites Analysis of EEG based functional connectivity during mental arithmetic task,.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Analysis of EEG based functional connectivity during mental arithmetic task,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.835640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.835640Z digest=sha256:8ce7ae5ac9bbdbff3e2c01fbb0eee8ef1d50a28f34bb0047af9579a211813706

Observation cd81381c-2fc5-4d64-b6f3-9abf98b3faa6 · outbound

This paper cites Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:09.840169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:09.840169Z digest=sha256:7b853033044304e4a27ddb2e016fe95311045b76070663aba7a9d30a6e9e8564

Observation 662f92d6-ff38-4c9d-84ce-75d0ce7af670 · outbound

This paper cites Descriptor: Heart and Lung Sounds Dataset Recorded From a Clinical Manikin Using Digital Stethoscope (HLS-CMDS),.

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition Descriptor: Heart and Lung Sounds Dataset Recorded From a Clinical Manikin Using Digital Stethoscope (HLS-CMDS),

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T18:06:10.038933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:06:09.844859Z digest=sha256:ebbc70148e91ad84325d9a3f77e7eca59cea30ba21da7f986323fe26ef9ccf53

Pith citing papers

No inbound Pith citation observations are available.