Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.13582.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:21.660843Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:52:41.432174Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5453f348-5f6f-4cdb-b632-e3109fa2e6ea · inbound
Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection cites this paper.
Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:21.660843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa911834-8caa-43ac-be20-e07a7f3b9a8e · inbound
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection cites this paper.
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:20:21.033841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a04c93-4106-43da-ba70-05350a97d860 · inbound
Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis cites this paper.
Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:45:08.957472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91ebcc86-c4aa-42c8-aa96-eb71162736d6 · inbound
Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts cites this paper.
Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:21:18.436072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ed2b57a-8054-4940-9497-98eab39e7f61 · inbound
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling cites this paper.
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:11:25.462128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 090d1eb9-a988-418a-81c4-99bd1c6ebb79 · inbound
LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness cites this paper.
LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T01:10:17.070990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a659dd7-63d9-4dfc-a569-85751efdee40 · inbound
Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications cites this paper.
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 2026-08-17T06:30:58.91139+00:00.