Paper Citation Record · LEDGER

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.18722.

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

pith.paper-citation-record.v1
2505.18722 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:39.521033Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:36.601673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:30:39.935893Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20848df1-5b8c-4061-a8f0-0bee27aa9252 · outbound

This paper cites Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:30:39.797155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aeff6fb6-cca1-4d3b-8a6b-b0a28b7409db · outbound

This paper cites Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers

Reference 2

Resolution: malformed identifier; local_arxiv, observed 2026-08-07T14:30:40.027467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 249b5fe8-1cc4-4fec-8c32-7262ecc4cbd9 · outbound

This paper cites Classification Model We utilized a machine learning classification approach, as motivated by recent advances [6, 7, 23], to explore the potential of PD diagnosis using TT.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Classification Model We utilized a machine learning classification approach, as motivated by recent advances [6, 7, 23], to explore the potential of PD diagnosis using TT

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.805626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5da66f38-030d-401d-bbcb-734b174c59ca · outbound

This paper cites Experimental Results Table 3 presents a performance comparison across different conditions.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Experimental Results Table 3 presents a performance comparison across different conditions

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:30:41.780508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2fced8c2-5599-4d49-a460-c7a162976319 · outbound

This paper cites an unresolved cited work.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:30:41.756426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a198b90e-4c2e-40c1-a7aa-065ba49f3d46 · outbound

This paper cites Turn-taking in Dialogue in Populations with Communicative Impairment.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Turn-taking in Dialogue in Populations with Communicative Impairment

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.735225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61d01340-80d5-4dd5-8994-1b667f157eee · outbound

This paper cites Computerized analysis of speech and voice for Parkinson’s disease: A systematic review,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Computerized analysis of speech and voice for Parkinson’s disease: A systematic review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.710018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98bbbb84-2141-4f7a-bbde-43f33866ea6f · outbound

This paper cites Parkinson disease,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Parkinson disease,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.682110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a92aa230-3dd1-469f-9408-98e06d46d980 · outbound

This paper cites Treatments for dysarthria in Parkinson’s disease,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Treatments for dysarthria in Parkinson’s disease,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.657256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a9c759c-b1e6-482e-b9df-ca2c2d23166d · outbound

This paper cites Imprecise vowel articulation as a potential early marker of Parkinson’s disease: effect of speaking task,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Imprecise vowel articulation as a potential early marker of Parkinson’s disease: effect of speaking task,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.633674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00e86b87-40f0-4b51-99bc-5d325190522b · outbound

This paper cites Parkinson’s disease subtypes identified from cluster analysis of motor and non-motor symptoms,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Parkinson’s disease subtypes identified from cluster analysis of motor and non-motor symptoms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.607663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbdd04dd-c4b8-4019-9cd3-552833cc5fe4 · outbound

This paper cites Speech as a biomarker for disease detection,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Speech as a biomarker for disease detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:37.678771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2898be47-440a-4c19-ac42-4bd5105453f5 · outbound

This paper cites Exploiting foundation models and speech enhancement for Parkinson’s disease detection from speech in real-world operative conditions,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Exploiting foundation models and speech enhancement for Parkinson’s disease detection from speech in real-world operative conditions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.565776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c5fc695-4d9e-4d9a-91b6-8b4106b6b86d · outbound

This paper cites Automatic parkinson’s disease detection from speech: Layer selection vs adaptation of foundation models,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Automatic parkinson’s disease detection from speech: Layer selection vs adaptation of foundation models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.545139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37c0bd76-f56d-4809-932e-37261f75253a · outbound

This paper cites A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.514896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1c8f160-3a5b-45b5-984e-3aeceb1c0468 · outbound

This paper cites Convolutional neural networks and a transfer learning strategy to classify Parkinson’s disease from speech in three different languages,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Convolutional neural networks and a transfer learning strategy to classify Parkinson’s disease from speech in three different languages,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.487342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b780aa7f-3576-4eb7-ac4c-ba1ddc544e17 · outbound

This paper cites The role of artificial intelligence in reducing healthcare costs and improving operational efficiency,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers The role of artificial intelligence in reducing healthcare costs and improving operational efficiency,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.459821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4aa81164-ae11-4ec0-b4d0-ff81946d0616 · outbound

This paper cites The observer effect in a hospital setting - experiences from the observed and the observers,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers The observer effect in a hospital setting - experiences from the observed and the observers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.409867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a8f7b92-65c3-450d-a786-5f61be8b9770 · outbound

This paper cites Unveiling early signs of Parkinson’s disease via a longitudinal analysis of celebrity speech recordings,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Unveiling early signs of Parkinson’s disease via a longitudinal analysis of celebrity speech recordings,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.367899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d532ad0-da76-4208-9861-83cc481d7075 · outbound

This paper cites Turn-taking in conversations,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Turn-taking in conversations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.343705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39806ba9-c421-4c43-b854-25b33fe42b21 · outbound

This paper cites Innovative speech-based deep learning approaches for Parkinson’s disease classification: A systematic review,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Innovative speech-based deep learning approaches for Parkinson’s disease classification: A systematic review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.311429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d91adb0-a9f4-43e9-ab0a-99dc62a6b359 · outbound

This paper cites New Spanish speech corpus database for the analysis of people suffering from Parkinson‘s disease,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers New Spanish speech corpus database for the analysis of people suffering from Parkinson‘s disease,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.282642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5b037c2-0d48-4f87-a5a9-9017e700f2b7 · outbound

This paper cites NeuroVoz: a Castilian Spanish corpus of parkinsonian speech,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers NeuroVoz: a Castilian Spanish corpus of parkinsonian speech,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.253536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 352cf04c-b40e-4d5c-9211-cc424f71913f · outbound

This paper cites Picture naming,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Picture naming,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.219081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e268e4c-28a5-4b1a-8b94-ed23df99c694 · outbound

This paper cites Planning versus comprehension in turn-taking: Fast responders show reduced anticipatory processing of the question,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Planning versus comprehension in turn-taking: Fast responders show reduced anticipatory processing of the question,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.187802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68d0f208-0ed1-4bdc-afdc-da20b7aad740 · outbound

This paper cites Next speakers plan their turn early and speak after turn-final “go-signals.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Next speakers plan their turn early and speak after turn-final “go-signals

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.161500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3986307-c443-4020-b946-ebdbee4c4937 · outbound

This paper cites Automatic classification of Parkinson’s disease using wav2vec embeddings at phoneme, syllable, and word levels,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Automatic classification of Parkinson’s disease using wav2vec embeddings at phoneme, syllable, and word levels,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:41.128187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 799a8762-2372-4e93-8085-9a9e92e72415 · outbound

This paper cites Reproducibility and validity of patient-rated assessment of speech, swallowing, and saliva control in Parkinson’s disease,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Reproducibility and validity of patient-rated assessment of speech, swallowing, and saliva control in Parkinson’s disease,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:40.943005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba04c8a3-f8c9-410a-a25a-1bf2da9ea115 · outbound

This paper cites Unveiling interpretability in self-supervised speech representations for parkinson’s diagnosis,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Unveiling interpretability in self-supervised speech representations for parkinson’s diagnosis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:40.732126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4645f28a-ec39-4601-ab35-e6ad68bfd1b1 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:39.330027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957f3c0a-760c-4496-bf2a-8a8d250611fa · outbound

This paper cites Mann-Whitney U Test,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Mann-Whitney U Test,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:40.564001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 234fae24-dc08-4ac3-81ca-833d5ff2f85c · outbound

This paper cites Spectral feature selection for supervised and unsupervised learning,.

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers Spectral feature selection for supervised and unsupervised learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:40.301720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation aeff6fb6-cca1-4d3b-8a6b-b0a28b7409db · inbound