Paper Citation Record · LEDGER

Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.00659.

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

pith.paper-citation-record.v1
2207.00659 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:07.425541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.393030Z

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 5889866f-8192-4647-8995-6f73764f0667 · inbound

Fotheidil: an Automatic Transcription System for the Irish Language cites this paper.

Fotheidil: an Automatic Transcription System for the Irish Language Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:01.220124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63544c9f-718c-4d4c-b37e-a7d76dd4d318 · 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 Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:29.405393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8398aef-06c6-4490-9405-ece526cb9064 · inbound

CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning cites this paper.

CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:07.425541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03faa95f-8555-41db-a45f-9c11d303cf0e · inbound

Building Community-Centred NLP Resources for Puno Quechua cites this paper.

Building Community-Centred NLP Resources for Puno Quechua Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:28.394834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.