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Paper Citation Record · LEDGER

Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.05554.

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

pith.paper-citation-record.v1
2408.05554 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:36:28.352134Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:55:51.218558Z

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 7024d41c-da7d-4054-bf7e-496e9c231b62 · inbound

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling cites this paper.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T10:36:28.352134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:36:28.352134Z digest=sha256:759065ef1734a789f01b7cb56a721092461ca5790fe6f1dc42f69a73d35f7356

Observation 51076f8e-8739-4529-9f46-5696ab635ba8 · inbound

Enhancing Whisper's Accuracy and Speed for Indian Languages through Prompt-Tuning and Tokenization cites this paper.

Enhancing Whisper's Accuracy and Speed for Indian Languages through Prompt-Tuning and Tokenization Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:55:51.224838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:55:51.105298Z digest=sha256:3714d6a1ba339cb86edcfc27bad35bcea7f7f9882aa269286ad04c72ccc74d7c