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Paper Citation Record · LEDGER

Whisper Finetuning on Nepali Language

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.12587.

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

pith.paper-citation-record.v1
2411.12587 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:02:44.373293Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 934b101f-821e-41f5-bafa-13a4274c834b · 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 Whisper Finetuning on Nepali Language

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:44.373293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:44.373293Z digest=sha256:6122f6baedad69692486b8a10eb277d77ca209eaa0c567b91066376dc4bdba88

Observation f3d425ab-9936-44df-863e-8ecf5f240079 · inbound

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages cites this paper.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Whisper Finetuning on Nepali Language

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:32.834745Z

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=arxiv_source observed=2026-08-06T23:35:32.462591Z digest=sha256:e102a25154c5d04078ddbe9a8a0fd2cda850f2051e8d39ed4f5b336852b546c3