Paper Citation Record · LEDGER

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.16681.

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

pith.paper-citation-record.v1
2508.16681 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:40.580503Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

verified exact5
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3889c060-78ce-4740-9c50-d939f8e0e646 · outbound

This paper cites The uclass archive of stuttered speech.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications The uclass archive of stuttered speech

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.836609Z

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.

Observation 4b2fc372-dee7-4b24-a84d-4975803075ed · outbound

This paper cites A systematic review of anxiety levels in people who stutter.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications A systematic review of anxiety levels in people who stutter

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.700675Z

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.

Observation 116cb2ba-e03e-4329-9734-cd39ced3bf56 · outbound

This paper cites The relationship between mental health disorders and treatment outcomes among adults who stutter.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications The relationship between mental health disorders and treatment outcomes among adults who stutter

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.569960Z

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.

Observation d70f5b6d-7755-46ce-ab5a-05a3b7ce8e33 · outbound

This paper cites Localization of stuttering based on causal brain lesions.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Localization of stuttering based on causal brain lesions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.442203Z

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.

Observation 21e4c56a-667f-4798-a20f-125ccd307f4d · outbound

This paper cites Acquired stuttering in parkinson’s disease.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Acquired stuttering in parkinson’s disease

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.287207Z

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.

Observation 68f1813a-8bc1-4d3f-9dd8-eb0900f299a5 · outbound

This paper cites Neurogenic stuttering: Etiology, symptomatology, and treatment.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Neurogenic stuttering: Etiology, symptomatology, and treatment

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.168941Z

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.

Observation 3826db9d-a321-4101-b909-8b15cf954ef6 · outbound

This paper cites Neurogenic stuttering: a review of the literature.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Neurogenic stuttering: a review of the literature

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:45.004754Z

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.

Observation 8fba09cf-79d6-4949-9767-8f5ce367c56f · outbound

This paper cites A crucial role for the cortico-striato-cortical loop in the pathogenesis of stroke-related neurogenic stuttering.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications A crucial role for the cortico-striato-cortical loop in the pathogenesis of stroke-related neurogenic stuttering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.812693Z

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.

Observation 1bf4f4f6-be35-49b2-b47f-d40ca1a1a777 · outbound

This paper cites A comprehensive review of stuttering therapy apps: Landscape analysis and quality assessment.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications A comprehensive review of stuttering therapy apps: Landscape analysis and quality assessment

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.668126Z

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.

Observation 402cc9fc-6b69-4ef7-9b8a-9b125c8315e7 · outbound

This paper cites SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:38.127476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1947383d-dfd9-4e02-8515-b909861091a1 · outbound

This paper cites Machine learning for stuttering identi- fication: Review, challenges & future directions.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Machine learning for stuttering identi- fication: Review, challenges & future directions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.516313Z

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.

Observation 390b77d0-c5f3-4ad7-acd1-7e92a7bb94e3 · outbound

This paper cites Fluency bank: a new resource for fluency research and practice.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Fluency bank: a new resource for fluency research and practice

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.358871Z

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.

Observation 91dbf146-682a-4b10-890d-30401f8139e7 · outbound

This paper cites Classification of stuttering–the compare challenge and beyond.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Classification of stuttering–the compare challenge and beyond

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.197042Z

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.

Observation f996f442-6931-48b2-90f5-6a35aeddcf26 · outbound

This paper cites Ssdm: Scalable speech dysfluency modeling.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Ssdm: Scalable speech dysfluency modeling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:44.051589Z

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.

Observation efa9ab3e-fc93-468d-9ff8-51ff24db52fe · outbound

This paper cites SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:42.332945Z

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.

Observation 671784cc-2582-4df5-8bf6-12807aa4fd3d · outbound

This paper cites Yolo-stutter: End-to-end region-wise speech dysfluency detection.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Yolo-stutter: End-to-end region-wise speech dysfluency detection

Reference 16

Resolution: verified exact; doi, observed 2026-08-05T17:52:40.756030Z

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.

Observation 36990f5e-6eb1-447c-96e8-19d333f595b6 · outbound

This paper cites Stutter-solver: End-to-end multi-lingual dysfluency detection.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Stutter-solver: End-to-end multi-lingual dysfluency detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:38.662574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f96a66d-badf-4264-a15b-c78bc95bbd37 · outbound

This paper cites Automatic recognition of repetitions and prolongations in stuttered speech.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Automatic recognition of repetitions and prolongations in stuttered speech

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.904028Z

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.

Observation 50561126-a32e-4674-8ff2-7b9ded27996d · outbound

This paper cites An automatic prolongation detection approach in continuous speech with robustness against speaking rate variations.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications An automatic prolongation detection approach in continuous speech with robustness against speaking rate variations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.794090Z

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.

Observation f0fe55de-049c-49d0-baca-cd10470221ee · outbound

This paper cites Seamless dysfluent speech text alignment for disordered speech analysis.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Seamless dysfluent speech text alignment for disordered speech analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:38.958527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce6bbf85-357e-401c-8469-e5d6819b7d53 · outbound

This paper cites LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:39.050666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f5c504-28ce-47a9-92bb-c1dd28b8fafa · outbound

This paper cites Universal phone recognition with a multilingual allophone system.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Universal phone recognition with a multilingual allophone system

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.678016Z

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.

Observation 7cf55aae-6c38-470e-9fef-33816ea0d1e7 · outbound

This paper cites Pattern search in dysfluent speech.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Pattern search in dysfluent speech

Reference 23

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T17:52:42.123734Z

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.

Observation 804ef992-3dfe-4727-af17-8f61e9df4cac · outbound

This paper cites Lever- aging allophony in self-supervised speech models for atypical pronunciation assessment.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Lever- aging allophony in self-supervised speech models for atypical pronunciation assessment

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.541855Z

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.

Observation 67cfa16b-9dcd-43b8-9b6f-61be3ebd9b41 · outbound

This paper cites Data-driven mispronunciation pattern discovery for robust speech recognition.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Data-driven mispronunciation pattern discovery for robust speech recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.379499Z

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.

Observation 12485ed2-3ff0-4921-9ee7-5238be705934 · outbound

This paper cites Towards hierarchical spoken language disfluency modeling.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Towards hierarchical spoken language disfluency modeling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.227029Z

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.

Observation 06efeade-0a37-4545-bf2b-4804abca02cd · outbound

This paper cites Unconstrained dysfluency modeling for dysfluent speech transcription and detection.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Unconstrained dysfluency modeling for dysfluent speech transcription and detection

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T17:52:41.778547Z

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.

Observation 98e18363-5da2-4dd1-889a-8750012ecece · outbound

This paper cites Dysfluent wfst: A framework for zero-shot speech dysfluency transcription and detection, 2025.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Dysfluent wfst: A framework for zero-shot speech dysfluency transcription and detection, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:43.049242Z

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.

Observation 1a659dd7-63d9-4dfc-a569-85751efdee40 · outbound

This paper cites Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:41.545972Z

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.

Observation fc10087a-48fe-4559-bb68-fdbc3c39abf9 · outbound

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92), 2019.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92), 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:42.904185Z

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.

Observation 362fbf4c-516b-4583-bd94-c188986e5857 · outbound

This paper cites Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:41.329492Z

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.

Observation 726b3ab3-5654-4880-a229-46d9a45d0605 · outbound

This paper cites Montreal forced aligner: Trainable text-speech alignment using kaldi.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Montreal forced aligner: Trainable text-speech alignment using kaldi

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:40.148715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f22c59-455e-4496-bcf1-85a0c05ab08b · outbound

This paper cites K-function: Joint pronunciation transcription and feedback for evaluating kids language function.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications K-function: Joint pronunciation transcription and feedback for evaluating kids language function

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-05T17:52:41.156966Z

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.

Observation 5a3ec0ba-001d-4b01-b2cb-c27addeea116 · outbound

This paper cites Signature verification using a Siamese time delay neural network.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Signature verification using a Siamese time delay neural network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:42.738410Z

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.

Observation 7c3a3941-8806-4874-b950-4a4b731bb9e7 · outbound

This paper cites an unresolved cited work.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:52:42.601441Z

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.

Observation 37270d8d-b602-4404-a217-e2a155382c67 · outbound

This paper cites Conditional variational autoencoder with adver- sarial learning for end-to-end text-to-speech.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Conditional variational autoencoder with adver- sarial learning for end-to-end text-to-speech

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:52:42.479698Z

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.

Observation 1ec01694-459c-4c84-9f05-74afc57087d2 · outbound

This paper cites an unresolved cited work.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications Unresolved cited work

Reference 2022

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T17:52:40.956808Z

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.

Observation 965e1386-f473-4e7a-b9cc-736e09551f51 · outbound

This paper cites URL http://dx.doi.org/10.1109/ ICASSP49660.2025.10888676.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications URL http://dx.doi.org/10.1109/ ICASSP49660.2025.10888676

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:39.484971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.