Paper Citation Record · LEDGER

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary

As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.09448.

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

pith.paper-citation-record.v1
2506.09448 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:02.600982Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:56.912097Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:24.371678Z

Reference resolution

47 of 47 outbound references displayed

verified exact2
verified fuzzy35
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59881a6c-55b3-489f-83f4-52933688c0a6 · outbound

This paper cites OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:56.912097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab025761-f535-4e25-930f-77b30ac6510c · outbound

This paper cites an unresolved cited work.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:13.042152Z

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.

Observation 370cefc1-66d0-4671-8372-5328ff287ba1 · outbound

This paper cites all”, “ig.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary all”, “ig

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:12.778202Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3d24052-a4c2-4205-9a00-a273612b572c · outbound

This paper cites We train the embed- ding and output layers of OWSM with vocabulary sizeKof 5,000.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary We train the embed- ding and output layers of OWSM with vocabulary sizeKof 5,000

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:12.463826Z

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.

Observation 3a697e3a-9b89-44c3-a633-5fc9add54175 · outbound

This paper cites the” and “and.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary the” and “and

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:54:12.309387Z

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.

Observation f86f73b0-7092-45d9-b67f-f7f5cd637c26 · outbound

This paper cites an unresolved cited work.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:12.161965Z

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.

Observation b957b6df-0b3a-4e35-8947-8d3e39650e26 · outbound

This paper cites Ro- bust speech recognition via large-scale weak supervision.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Ro- bust speech recognition via large-scale weak supervision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:12.039913Z

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.

Observation 235a55a1-b154-43cf-9697-fe726a6a0d7a · outbound

This paper cites Repro- ducing Whisper-style training using an open-source toolkit and publicly available data,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Repro- ducing Whisper-style training using an open-source toolkit and publicly available data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:11.812242Z

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.

Observation 4f187dca-064d-4cd8-ab66-bb2d60499661 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:57.801970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826a9a5a-a245-4b2f-92e7-ac1fa68efe40 · outbound

This paper cites Scal- ing speech technology to 1,000+ languages,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Scal- ing speech technology to 1,000+ languages,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:11.523089Z

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.

Observation febaa2cc-4d75-417e-889f-2ff813c68001 · outbound

This paper cites Less is more: Accurate speech recognition & translation without web-scale data,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Less is more: Accurate speech recognition & translation without web-scale data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:11.178196Z

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.

Observation 6f02bc4a-7529-44ea-86d5-32f0227246d8 · outbound

This paper cites OWSM-CTC: An open encoder-only speech foundation model for speech recog- nition, translation, and language identification,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary OWSM-CTC: An open encoder-only speech foundation model for speech recog- nition, translation, and language identification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:10.945478Z

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.

Observation ff1dc0f1-86b6-4acd-9290-ec937acad892 · outbound

This paper cites OWSM v3.1: Better and faster open Whisper-style speech models based on e- branchformer,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary OWSM v3.1: Better and faster open Whisper-style speech models based on e- branchformer,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:10.671293Z

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.

Observation 62cd81ba-b439-44bc-ab9a-d1ebe2345837 · outbound

This paper cites CB-Whisper: Contex- tual biasing Whisper using open-vocabulary keyword-spotting,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary CB-Whisper: Contex- tual biasing Whisper using open-vocabulary keyword-spotting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:10.364686Z

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.

Observation 843c8724-e1e8-4f57-bbae-ecc6ca9e3b9e · outbound

This paper cites Can contex- tual biasing remain effective with Whisper and GPT-2?.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Can contex- tual biasing remain effective with Whisper and GPT-2?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:10.084534Z

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.

Observation 93f0d36d-402a-4e37-913e-6d13d6176877 · outbound

This paper cites Adding user feedback to enhance CB-Whisper,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Adding user feedback to enhance CB-Whisper,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:09.839604Z

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.

Observation 380983ad-aa40-40d7-bd5f-24398ac29a06 · outbound

This paper cites Contextual biasing to improve domain- specific custom vocabulary audio transcription without explicit fine-tuning of Whisper model,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextual biasing to improve domain- specific custom vocabulary audio transcription without explicit fine-tuning of Whisper model,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:09.587036Z

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.

Observation 361d0375-8662-4284-a6b8-6da2f19ee3dc · outbound

This paper cites A multitask train- ing approach to enhance Whisper with open-vocabulary keyword spotting,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary A multitask train- ing approach to enhance Whisper with open-vocabulary keyword spotting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:09.323740Z

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.

Observation dff02807-cf82-40a2-93cf-ae1d78d5bc25 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:58.965895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4f9c0d-aac5-4dab-be09-7221277096ac · outbound

This paper cites SALMONN: Towards generic hearing abilities for large language models,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary SALMONN: Towards generic hearing abilities for large language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:09.069261Z

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.

Observation 56c9aa8c-2be0-4566-b5f8-4c3940d3a695 · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:59.219105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cf86a3-558d-4733-aef5-f4892ad12fe8 · outbound

This paper cites VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:54:03.157702Z

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.

Observation a7bc907d-74be-42b0-b516-e1d1c7ac1e93 · outbound

This paper cites Contextual biasing speech recognition in speech-enhanced large language model,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextual biasing speech recognition in speech-enhanced large language model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:08.766360Z

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.

Observation df0ac8f8-8eb2-4b95-b881-1dfecf2c26bd · outbound

This paper cites Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:54:02.883695Z

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.

Observation 8b6031f6-cf8a-45cc-ad22-f8b11d582077 · outbound

This paper cites Deep context: End-to-end contextual speech recogni- tion,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Deep context: End-to-end contextual speech recogni- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:08.477112Z

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.

Observation e94d55c1-8e35-49a9-8f1c-a62c3d694fd2 · outbound

This paper cites Contextual RNN-T for open domain asr,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextual RNN-T for open domain asr,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:08.161085Z

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.

Observation f026e41b-e611-4ccc-9daa-898825d39f90 · outbound

This paper cites Instant one-shot word-learning for context-specific neural sequence-to-sequence speech recognition,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Instant one-shot word-learning for context-specific neural sequence-to-sequence speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:07.904348Z

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.

Observation 79c5e661-87dc-4fd3-9dd0-1c01cddb1e0c · outbound

This paper cites Retraining-free customized ASR for enharmonic words based on a named-entity-aware model and phoneme similarity estimation,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Retraining-free customized ASR for enharmonic words based on a named-entity-aware model and phoneme similarity estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:07.689145Z

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.

Observation 6fad5b74-ad37-4e31-8134-c10af9bf3c82 · outbound

This paper cites Contex- tualized End-to-End Speech Recognition with Contextual Phrase Prediction Network,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contex- tualized End-to-End Speech Recognition with Contextual Phrase Prediction Network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:07.397919Z

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.

Observation a25e54b9-02b2-42c0-8376-dcdf0c7a252a · outbound

This paper cites CopyNE: Better Contextual ASR by Copying Named Entities.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary CopyNE: Better Contextual ASR by Copying Named Entities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:00.318717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6129b83c-cf28-481e-859c-77766f5690ab · outbound

This paper cites Lib- rispeech: an ASR corpus based on public domain audio books,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Lib- rispeech: an ASR corpus based on public domain audio books,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:07.121938Z

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.

Observation fd400bce-61db-4a71-bea1-30b938aec5f9 · outbound

This paper cites Contextualized end-to-end automatic speech recognition with intermediate bias- ing loss,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextualized end-to-end automatic speech recognition with intermediate bias- ing loss,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:06.868816Z

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.

Observation 9e5933a4-62e5-4efa-bf61-9bc2c3e9d4ca · outbound

This paper cites Corpus of spontaneous Japanese: Its design and evaluation,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Corpus of spontaneous Japanese: Its design and evaluation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:06.575918Z

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.

Observation bc1cc5f7-7aaf-41d7-b84f-94305fcf2fc8 · outbound

This paper cites Phoneme-aware encoding for prefix-tree-based contextual ASR,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Phoneme-aware encoding for prefix-tree-based contextual ASR,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:06.328980Z

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.

Observation 67bf9620-fd0a-4c2b-af4d-f73a07c5b631 · outbound

This paper cites Interbiasing: Boost unseen word recognition through biasing intermediate predictions,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Interbiasing: Boost unseen word recognition through biasing intermediate predictions,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:06.033611Z

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.

Observation 187c9787-d8a7-4b87-aa0e-9b54b00c8276 · outbound

This paper cites PromptASR for contextualized ASR with controllable style,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary PromptASR for contextualized ASR with controllable style,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:05.777584Z

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.

Observation 13922ba9-ed43-418a-8f7b-85dbc1098280 · outbound

This paper cites Contextualized automatic speech recognition with attention- based bias phrase boosted beam search,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextualized automatic speech recognition with attention- based bias phrase boosted beam search,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:05.524736Z

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.

Observation 9127bea1-2010-45b8-9a09-a9546f3f13bb · outbound

This paper cites Improving large-scale deep biasing with phoneme features and text-only data in streaming transducer,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Improving large-scale deep biasing with phoneme features and text-only data in streaming transducer,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:05.220461Z

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.

Observation 5b540885-d7e6-47a5-88a0-ab7c183e5c66 · outbound

This paper cites Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:04.996151Z

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.

Observation 58b4ed50-3064-4d4b-8f8e-902c41579286 · outbound

This paper cites Contextualized automatic speech recognition with dynamic vo- cabulary,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Contextualized automatic speech recognition with dynamic vo- cabulary,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:04.694432Z

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.

Observation 9256327f-826d-476e-94b3-f7c4eedec0c9 · outbound

This paper cites Hy- brid ctc/attention architecture for end-to-end speech recognition,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Hy- brid ctc/attention architecture for end-to-end speech recognition,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:01.741283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d013093b-5684-4afd-b11d-159cf326c5da · outbound

This paper cites Time- synchronous one-pass beam search for parallel online and offline transducers with dynamic block training,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Time- synchronous one-pass beam search for parallel online and offline transducers with dynamic block training,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:04.448388Z

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.

Observation af9f1496-d3b5-44dd-943e-f797cc60d2a4 · outbound

This paper cites Joint beam search integrating ctc, attention, and transducer decoders,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Joint beam search integrating ctc, attention, and transducer decoders,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:04.152176Z

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.

Observation cd5e6539-0cde-4a56-a05d-a37e60ffa3c0 · outbound

This paper cites E-Branchformer: Branchformer with enhanced merging for speech recognition,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary E-Branchformer: Branchformer with enhanced merging for speech recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:03.930476Z

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.

Observation 7e0949b4-2891-443d-9a4a-7c8a1e5c4c43 · outbound

This paper cites Attention is all you need,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Attention is all you need,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:03.710031Z

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.

Observation b281a407-237d-4dab-b7b8-218de9fb78e3 · outbound

This paper cites Adam: A method for stochastic opti- mization,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Adam: A method for stochastic opti- mization,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:02.462065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f76f15-2638-4ca3-927f-e1c7d519c1a1 · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary ESPnet: End-to-end speech processing toolkit,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:03.491927Z

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.

Pith citing papers

Observation 59881a6c-55b3-489f-83f4-52933688c0a6 · inbound