Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.04573.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:37.385874Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:25:52.275823Z
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 04d042c8-45a9-47f2-b339-274358dae5e0 · inbound
Advancing STT for Low-Resource Real-World Speech cites this paper.
Advancing STT for Low-Resource Real-World Speech Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:06:37.385874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dba418bd-5981-48b0-b983-1980bc3c0c14 · 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 Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:32.424165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72194cd8-362a-4328-9e12-fbb68b93c964 · inbound
Fine-tuning Whisper for Pashto ASR: strategies and scale cites this paper.
Fine-tuning Whisper for Pashto ASR: strategies and scale Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:25:52.279743Z
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.