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Paper Citation Record · LEDGER

Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.15726.

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

pith.paper-citation-record.v1
2412.15726 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:24.427553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:52:44.986861Z

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 d86cfb89-475a-46ac-ad93-3a11cc43f35c · inbound

Scaling and Prompting for Improved End-to-End Spoken Grammatical Error Correction cites this paper.

Scaling and Prompting for Improved End-to-End Spoken Grammatical Error Correction Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:24.427553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:24.427553Z digest=sha256:718af946aa9e60a386871561c685f5af20f6819b3159747657db7bb418a74e3b

Observation c96d4746-dcf6-4885-9db6-e185de5cc42b · inbound

Voice Adaptation for Swiss German cites this paper.

Voice Adaptation for Swiss German Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:10.577473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:10.577473Z digest=sha256:90424c07a1c08cc196b0b086e80e55e7daeccb9c717d767430358f46685d697c

Observation c243bc8e-1f80-44e3-a30b-0f469af91b36 · inbound

Advancing STT for Low-Resource Real-World Speech cites this paper.

Advancing STT for Low-Resource Real-World Speech Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.425701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.425701Z digest=sha256:2a9a4f4ebbfa313807c7219080af5361b6ec2abc4025a412e3cb1f4e0761c0cb

Observation 7d06113f-401f-4f05-87f1-0ed9bc90cad3 · inbound

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data cites this paper.

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:44.379377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:44.379377Z digest=sha256:6f0a633516c74b37f48544df37d2f00fade5905eae042b655eecbe44929414cc

Observation b7439854-cb7d-4b8e-a7d1-c8f00dbd4b7a · inbound

End-to-End Spoken Grammatical Error Correction cites this paper.

End-to-End Spoken Grammatical Error Correction Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:21:10.574748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:10.574748Z digest=sha256:6c8f3960a9546b22296401c77d53cfae25ff86f6d51a72984d0ea3c2033b4162

Observation 7c21699c-fb27-45a2-b101-384c7cb9a6c8 · inbound

WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data cites this paper.

WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:57:50.081301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T18:56:13.574693Z digest=sha256:69474fe9714f9a7307dfa5d0d297bbdc6e48b83755e18c9ccce6ca1266440166

Observation e2fcf88d-5864-4ef7-bf22-336ebbf75c97 · inbound

Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) cites this paper.

Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:44.988508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:51:15.098039Z digest=sha256:96f529cb038e7cadc02a88fd8f1605427c4791dee099067805b548db52eee8f2

Observation 5a91596e-56ea-4eae-8e9d-4e70e91d7b66 · inbound

Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models cites this paper.

Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T18:53:33.853115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:53:33.853115Z digest=sha256:3a060b396e43cdbddf0fb48ac6de0116fbcadcd7b812c43cb1ecdb123a5bb9b1

Observation 9d11804b-d642-49db-9314-e854c83b3eda · inbound

Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models cites this paper.

Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-01T18:53:45.915794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:53:45.915794Z digest=sha256:0c88a21b312fa874ae560359ce36afcd7906c9cdf9c55e56515e8b483bdebd39