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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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:d4e265055a876871935269366b46ee40a1beac3f58aaa616ff4b3223b14e964e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:09.808608Z digest=sha256:93320b49dc515f55b74760c01b4ed525b3250768a62409725faee7e2a55377dd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:09.815751Z digest=sha256:48722146e0b12e0250d3cd1eed70e57f90657461536eb2932554643ae3cf672a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:09.820816Z digest=sha256:10e61eb02e1c197dcb9f2a26ce3f06f0849475b50b4f189ad84db64eb95118a0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:09.831238Z digest=sha256:dac2d42c1d75c3f96e45e326ef70f05c13f9845068c992cfbe2cf70fc61c8213

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:09.844859Z digest=sha256:69babee7e72ed3ea92667137827b0a36f6e8caed96f99fb4ebe8c355211ba1d2

Pith citing papers

No inbound Pith citation observations are available.