Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.02133.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:20.806789Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:49:36.377185Z
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 fc3ba030-0bf9-4472-86b6-df1c827b9927 · inbound
Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use cites this paper.
Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:49:20.806789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77bf07e5-9d02-4ed0-a257-5038fcbd6f38 · inbound
OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning cites this paper.
OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:12:19.793022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 730e33a4-5b91-4288-80a0-6faee9c852fa · inbound
Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit cites this paper.
Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:12.145519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58438ae6-60c1-4a4a-816c-8a3a60247d81 · inbound
CAM\~OES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese cites this paper.
CAM\~OES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:21.241548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45cc14a7-fb7e-4e29-a232-d72a61ef2a0d · inbound
OLMoASR: Open Models and Data for Training Robust Speech Recognition Models cites this paper.
OLMoASR: Open Models and Data for Training Robust Speech Recognition Models SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:49:36.379813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.