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Paper Citation Record · LEDGER

OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.16658.

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

pith.paper-citation-record.v1
2401.16658 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:05:08.028999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T02:33:55.381513Z

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 579b196d-2472-4ff5-ae39-79dd2bce13c1 · inbound

SQ-Whisper: Speaker-Querying based Whisper Model for Target-Speaker ASR cites this paper.

SQ-Whisper: Speaker-Querying based Whisper Model for Target-Speaker ASR OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:38:16.928551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:38:16.928551Z digest=sha256:05610d6616d81663bebc7751e4cd18b1fd7c71fb06eff93566b9567fcd47c9a6

Observation 138f80b3-879a-439e-b263-28b3ba8a0e7f · inbound

WhisperFlow: speech foundation models in real time cites this paper.

WhisperFlow: speech foundation models in real time OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T15:11:57.855407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:11:57.855407Z digest=sha256:829a796318791d78e20f37b2c6873afed1dfa2786a21ce590729fdad2df08509

Observation e112e5cf-dd33-4854-bbed-943d7f4c078a · inbound

Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization cites this paper.

Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T01:05:25.231138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T01:05:25.231138Z digest=sha256:1677114056e2896db1c1712835054c1580f6dd63d32f0d8c5f2b25d56b3c5f3c

Observation 8192f588-24d5-4ec0-9346-b94cd7dea50e · inbound

OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models cites this paper.

OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T18:32:14.798924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:32:14.798924Z digest=sha256:2aff2d5f4abd9efa198e3501dc720561a5b10140ab8887e70a4fbbe2df043c5a

Observation 0f249b6f-d04f-428b-95a2-7f5b4e6c5224 · inbound

Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People cites this paper.

Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:05:08.028999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:08.028999Z digest=sha256:614617be70aff4df5e9d46ce68999dd8fdf8d7a61326fb661139c426dceee2fd

Observation 605a18c1-61fa-42f9-94ba-d87ffb96b2bc · inbound

Whale: Large-Scale multilingual ASR model with w2v-BERT and E-Branchformer with large speech data cites this paper.

Whale: Large-Scale multilingual ASR model with w2v-BERT and E-Branchformer with large speech data OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:12.485510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:12.485510Z digest=sha256:56c36534deabb41225b23963bb10482e6cfe5c6011226a4b31bd2f0e7d72d4f1

Observation d0f9a964-90cb-404c-bba0-e10ce735b957 · inbound

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition cites this paper.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:26.546836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:26.546836Z digest=sha256:5e307e33de5b5c536674029ad8cf56cd36205fd6a611ac71cc06daebbabfd3f1

Observation ddcc2970-6156-4895-bb1e-c36b72429415 · inbound

The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties cites this paper.

The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T16:16:37.696161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:16:37.696161Z digest=sha256:4358baaaf6f61ebce6c5e1ed1db2ec256888aaedace5b13b4a06a5990d9835d2

Observation e5668b19-a7ed-46ab-a3b7-d66e14372566 · inbound

Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech cites this paper.

Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:33:55.385387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T02:32:26.122526Z digest=sha256:f1134a9a3ff3d074ffb27b3f96cc093de31ceee56ee1d8ee50e07fd26be76402