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Paper Citation Record · LEDGER

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.08968.

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

pith.paper-citation-record.v1
2502.08968 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:06:36.069720Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T04:21:39.163766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:43.536419Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83fd3453-21fd-4b35-90d0-9e33e59edd40 · outbound

This paper cites V oice disorders: etiology and diagnosis,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets V oice disorders: etiology and diagnosis,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.605681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.929450Z digest=sha256:5a73fffea7cf4b42dbdd222a81107340626e7219a7693c5e50b07abe8783d76a

Observation fa5b8afa-5c74-4095-a613-867e277482ba · outbound

This paper cites Hirano, Clinical Examination of Voice , ser.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Hirano, Clinical Examination of Voice , ser

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.587379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.934556Z digest=sha256:f004b4b5f2c65b3d41ba09d1c2109c8898321202ce4220d5334b07fb69c135e3

Observation b7e8f186-4720-42f6-b234-797a5945aa16 · outbound

This paper cites Direct health care costs of laryngeal diseases and disorders,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Direct health care costs of laryngeal diseases and disorders,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.571827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.939504Z digest=sha256:52dfffd8a95a4746b86c48b7be8762a22c760bd8669bc62d158f3c403ef858ad

Observation a9908e2e-3aa0-460e-9b99-2fa9140b11cb · outbound

This paper cites V oice disorder identification by using machine learning techniques,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets V oice disorder identification by using machine learning techniques,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.556325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.944519Z digest=sha256:3379ee4da5972e97fc05d3b5ecbf8a07342f61fc063d820c692785f110879ea9

Observation 02e4eabf-4c05-466c-a608-1b42844f1fb4 · outbound

This paper cites V oice disorder detection using machine learning algorithms: An application in speech and language pathology,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets V oice disorder detection using machine learning algorithms: An application in speech and language pathology,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.539935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.950876Z digest=sha256:92951f98e897e61f90e4f5fa8558d0e1d7f4a9cdd171cf52f1caf87deb225e47

Observation 22e2d5a6-3faa-44be-ad67-ca114baa3801 · outbound

This paper cites Machine learning approach to dysphonia detection,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Machine learning approach to dysphonia detection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.523036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.956001Z digest=sha256:fc39c66d8dcd2e5c7731b614d6923e3a61de361b9e9ed1328f4c1cb94e19c9f2

Observation 7c37cb7c-c9be-47da-a2ea-bc00ceb52c8b · outbound

This paper cites Discrimination between pathological and normal voices using gmm-svm approach,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Discrimination between pathological and normal voices using gmm-svm approach,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.503360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.961678Z digest=sha256:152e14d2e7295444229836fd7e645018f183b94ba774b259d077f7be8592aee4

Observation 54145e53-61ff-4aa9-98bb-1c9cf307a76a · outbound

This paper cites V oice pathology de- tection using convolutional neural networks with electroglottographic (egg) and speech signals,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets V oice pathology de- tection using convolutional neural networks with electroglottographic (egg) and speech signals,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.485032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.966421Z digest=sha256:92a53f4ab7d0eefb49634296f4234f43de44bed0731c3277e1fa788198423e4a

Observation 7b6ffcb4-152b-493b-9c88-ce9d524d2f84 · outbound

This paper cites Convolutional neural networks for pathological voice detection,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Convolutional neural networks for pathological voice detection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.469504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.971018Z digest=sha256:a0eef92f88a6b53e7d5b05aa4f4f35b3d1948cfb9c3a4605bc0ca07dd0dec668

Observation 9b3dce5a-a8a0-424e-9a78-ae5873070b96 · outbound

This paper cites An efficient smote-based deep learning model for voice pathology detection,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets An efficient smote-based deep learning model for voice pathology detection,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.452260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.975553Z digest=sha256:5d37cce8d22a03b694cb43afaebf3232f26aae1a9b6452d7b9d64e13b74c354c

Observation e5c80d38-d6ea-44bf-b3ce-622d521d77f2 · outbound

This paper cites V oice disorder clas- sification using convolutional neural network based on deep transfer learning,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets V oice disorder clas- sification using convolutional neural network based on deep transfer learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.434452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.980259Z digest=sha256:8f253e1e978d0ef78bbe18e40cffb2dc153b6b70ee246984fa2f65cd724fc812

Observation 48605abf-ab0f-4720-813a-38bcb29307ea · outbound

This paper cites Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.415433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.985030Z digest=sha256:d6bf89b08a8387096cd09aedc9789d10dcc3e627fce4b2c2601d5a28a043fe5f

Observation da322515-ea2c-4636-a335-59af872ff572 · outbound

This paper cites Schuld and F.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Schuld and F

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.395661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.989629Z digest=sha256:9f35427bc8e1c9470e87db2d7da94bc86c0160c913893daf8ad550b54a9fd46b

Observation fbb68e9c-1007-445f-a164-d1c936fad1b3 · outbound

This paper cites A novel autonomous perceptron model for pattern classification applications,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets A novel autonomous perceptron model for pattern classification applications,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.376062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.994017Z digest=sha256:6cb3e23ddb9b6b98c75292e0bf4defed526c4ba4d1e8c5d9364abe91969a991e

Observation 2aed293e-5074-40d2-bbc8-ac4f59985160 · outbound

This paper cites Covid-19 detection on ibm quantum computer with classical-quantum transferlearning,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Covid-19 detection on ibm quantum computer with classical-quantum transferlearning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.357893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:35.998815Z digest=sha256:0b4b8c502fb050b6347efbab702b1c4680147a704e7ded73439a341d9c676141

Observation 2a15a3b3-020d-43c2-8af1-e7771a8b291a · outbound

This paper cites Classical-to-quantum transfer learning for spoken command recognition based on quantum neural networks,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Classical-to-quantum transfer learning for spoken command recognition based on quantum neural networks,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.340098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.004090Z digest=sha256:c2c6e44987a7ac2ed77b862e7807e482d04d6f0e44efa4df29384a2d3fbd5a92

Observation b8857199-fc1d-4c68-a182-1b7619552bb8 · outbound

This paper cites Qspeech: low-qubit quantum speech application toolkit,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Qspeech: low-qubit quantum speech application toolkit,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.319930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.009498Z digest=sha256:b57d43a58bbd9662aca197609ddd8ba63d2101697f5f4cd54e723ad2342c01a6

Observation 5f24fe67-93f9-4d78-85f5-25f16ca27dd4 · outbound

This paper cites Consensus-based Distributed Quantum Kernel Learning for Speech Recognition.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Consensus-based Distributed Quantum Kernel Learning for Speech Recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T23:06:36.014809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:06:36.014809Z digest=sha256:2227a2f186b905a43387c54154b6a3baa82d5e65e6daabc83d4322dcef6ce41d

Observation 5d7d65fd-1e58-419f-9f84-f441b904d197 · outbound

This paper cites Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.294382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.021191Z digest=sha256:66d96aa5cb1f142ab92c157e06329c91d3bb0172a2b49984d20d9989c9c8537a

Observation 59217509-e657-489c-8806-e976e86deec8 · outbound

This paper cites Quanvolutional neural networks: powering image recognition with quantum circuits,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Quanvolutional neural networks: powering image recognition with quantum circuits,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.272947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.026330Z digest=sha256:233bd908b2dc5799636fdcf30c5bac215a85aad878a515234be707acc1a857ad

Observation cba0f5e3-0cb4-491f-ba91-4405453af26e · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T23:06:36.031969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:06:36.031969Z digest=sha256:cb87e26f8860a50cbe1e82ad7959cdb44207aebba2d097857bc8a31f1f185488

Observation b17694be-73b9-49e2-95e5-2408be1f21e9 · outbound

This paper cites Large-scale weakly supervised audio classification using gated convolutional neural net- work,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Large-scale weakly supervised audio classification using gated convolutional neural net- work,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.252728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.037670Z digest=sha256:f0c224e6e1185a27bf4991a422d57b89734813a1fbfad64c8492568a66bcf32a

Observation 9fc3ed6e-7c37-43fb-9cd6-878af3023d18 · outbound

This paper cites An exploration of log-mel spectrogram and mfcc features for alzheimer’s dementia recognition from spontaneous speech,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets An exploration of log-mel spectrogram and mfcc features for alzheimer’s dementia recognition from spontaneous speech,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.229815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.044948Z digest=sha256:4c0a4170b83541b60185a0cdf442e19fbcd2460b35f728289ca8959c15cfd12a

Observation dee126ef-8ed6-4789-a6ab-fd55158bb333 · outbound

This paper cites Exploring the features of quanvolutional neural networks for improved image classification,.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Exploring the features of quanvolutional neural networks for improved image classification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:06:36.211291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.051019Z digest=sha256:aa951947d13d4461a06e1d3960e8b52c56d508182393b6575c7ff47919e15415

Observation 206ceab1-01c2-441d-bf1d-508959c4df17 · outbound

This paper cites Perceptual voice qualities database (pvqd),.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Perceptual voice qualities database (pvqd),

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T23:06:36.113089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T23:06:36.056916Z digest=sha256:1fa1fb5ac9c90c301fc0dbea23c25286762be121cb36a885915e4d09071007e4

Observation 04d74c4b-efd1-4843-8883-6b8d362ff610 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T23:06:36.063149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:06:36.063149Z digest=sha256:eab066139dbd0536361be4799305b4778ef22bc1091f0b1071e582881530360f

Observation ddfdcccb-d362-4330-84dc-6eb40f9699d5 · outbound

This paper cites Early stopping-but when?.

Quantum Approaches for Dysphonia Assessment in Small Speech Datasets Early stopping-but when?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T23:06:36.069720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:06:36.069720Z digest=sha256:abf4bf6b39359dbd573ddf5ac17f3462687e3e417e7df852ff8295b9c1a77871

Pith citing papers

Observation cbfd36f2-5cec-42d1-bfd9-520840bc5e3d · inbound

Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features cites this paper.

Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features Quantum Approaches for Dysphonia Assessment in Small Speech Datasets

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:43.567093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T04:21:39.163766Z digest=sha256:3117cb3ca1497d787dd598cc40e9b9f8075b00e2a937f6c30c7ed07ac331b601