Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Transformers for Large-Scale Speech Recognition
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.09684.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:53.906432Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T20:42:49.269596Z
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 708f35f8-9b8a-4bad-bcd5-047dcdf027dd · inbound
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning cites this paper.
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Exploring Transformers for Large-Scale Speech Recognition
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:38:53.906432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c73b403a-9811-4f42-9249-20da5fcef414 · inbound
A multilevel approach to accelerate the training of Transformers cites this paper.
A multilevel approach to accelerate the training of Transformers Exploring Transformers for Large-Scale Speech Recognition
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:47:35.292408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01a5cf94-00e3-44c8-96e5-0e7d8e58de44 · inbound
Which one Performs Better? Wav2Vec or Whisper? Applying both in Badini Kurdish Speech to Text (BKSTT) cites this paper.
Which one Performs Better? Wav2Vec or Whisper? Applying both in Badini Kurdish Speech to Text (BKSTT) Exploring Transformers for Large-Scale Speech Recognition
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:42:49.348071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.