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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.12394.

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

pith.paper-citation-record.v1
2102.12394 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:36.242603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:02:13.182493Z

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 7965a2da-efa5-4059-baed-e76073d4d456 · inbound

Clinical Annotations for Automatic Stuttering Severity Assessment cites this paper.

Clinical Annotations for Automatic Stuttering Severity Assessment SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:36.242603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:36.242603Z digest=sha256:be7d3d5b67b3660ef62dc4cb2ea0a3a9fe093d4c39686f136973683589696500

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

source=pdf_text observed=2026-08-05T17:52:38.127476Z digest=sha256:a0b844e338baafc63f84a21194c3e71bedacf36f685369755c665bc1476b5bdf

Observation b98ccfab-a9d3-4ade-a14f-78aae99657b3 · inbound

A Semi-Supervised Framework for Speech Confidence Detection using Whisper cites this paper.

A Semi-Supervised Framework for Speech Confidence Detection using Whisper SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:02:13.188121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:00:49.889795Z digest=sha256:b85f57a24fa4435e32b9fcb57a24ab15911d25869e6045499f5b634bfdd9c5d4