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Paper Citation Record · LEDGER

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2506.00422.

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

pith.paper-citation-record.v1
2506.00422 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:15.889094Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:11.765624Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:10:16.056113Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 371fb340-2ff5-4c67-b189-e319fb6e2e79 · outbound

This paper cites DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-07T12:10:16.152978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 82fc9696-70b8-49ee-9ef1-d1c5bce3ee5b · outbound

This paper cites Ra”, “pha.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Ra”, “pha

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:10:20.635869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34065dc2-b36e-4596-ab72-f21ad4f9913b · outbound

This paper cites Ra”, “pha.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Ra”, “pha

Reference 3

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raw_fallback, observed 2026-08-07T12:10:20.513355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:11.937868Z digest=sha256:bf79cf79fb73d9f39ed4fe97f687b107b55ecc83ecf944793b678a82d40f23c5

Observation c5d6eda7-fb70-4705-8b2c-4f7ff38f5586 · outbound

This paper cites Here”, “is.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Here”, “is

Reference 4

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malformed identifier
raw_fallback, observed 2026-08-07T12:10:20.402400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:12.003389Z digest=sha256:690a6065703f80dfccb696cbd96d75ed9965d41f045e2373da501298a267a366

Observation 4c265e4f-f896-47fa-8fc8-2d7ace2c726c · outbound

This paper cites an unresolved cited work.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-07T12:10:20.260002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ad89b1b1-8476-48d0-8b8e-b02875b0f365 · outbound

This paper cites End-to-end speech recognition: A survey,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition End-to-end speech recognition: A survey,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T12:10:20.152158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:12.217764Z digest=sha256:eb45c3f20f7e0e0bfa57d6569414c6c8771e229163ce279285a98fa24437666d

Observation d6230b5b-301d-4e22-a726-6c6c9da14a34 · outbound

This paper cites Recent advances in end-to-end automatic speech recogni- tion,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Recent advances in end-to-end automatic speech recogni- tion,

Reference 7

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unresolved
no resolver link, observed 2026-08-07T12:10:12.311399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:12.311399Z digest=sha256:04be4aa2616094fe72d6951878aeb78e281794bb710857230b00edc3b35ceb62

Observation b24ef3ad-a77b-49d0-a536-32f9b7dca1f9 · outbound

This paper cites Attention-based models for speech recognition,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Attention-based models for speech recognition,

Reference 8

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raw_fallback, observed 2026-08-07T12:10:20.031381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:12.372904Z digest=sha256:68dd6851f0004643b900e77c7093bbc3296aa360c6ee1bd35b7168bb0b4843e7

Observation c14c0655-fc17-4d23-8fcb-40897f993ece · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:10:12.449713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:12.449713Z digest=sha256:9ceeef61168a5e81c139448fc9df198667b03e831c768e07d5f958bc4ccb7748

Observation c73e75a7-faf6-4eb5-875b-a47a75531172 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Robust speech recognition via large-scale weak su- pervision,

Reference 10

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unresolved
no resolver link, observed 2026-08-07T12:10:12.514722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:12.514722Z digest=sha256:d8799a125ba27f592dd206aae2c80107c00a8fa6a9d7c9ba7a9de374fbdf72ac

Observation 59cce82c-85de-474b-9734-096e885247c6 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition OWSM v3.1: Better and faster open Whisper-style speech models based on e- branchformer,

Reference 11

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no resolver link, observed 2026-08-07T12:10:12.594481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:12.594481Z digest=sha256:245eb02d6582c15b52bd0fe6e3b2019899c9b13bbbc52e726ab137fe362c7cca

Observation 4b4c21c3-fab1-4f42-81b7-795648b072ff · outbound

This paper cites Sequence transduction with recurrent neural net- works,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Sequence transduction with recurrent neural net- works,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T12:10:19.854364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:12.710535Z digest=sha256:97f744cedb79f8090a9dd5f0ba80d1f534fbdb00fb719b7ac9c1b10893e7b658

Observation ce717047-ad8e-4806-92e2-180281f0dd79 · outbound

This paper cites Con- former: Convolution-augmented transformer for speech recogni- tion,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Con- former: Convolution-augmented transformer for speech recogni- tion,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:19.712132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:12.830230Z digest=sha256:64fb0e52d0747d57854ec498a34a417cabb092b664b01abb8741bd9651f731db

Observation 587e7301-7b5f-4cdf-83e7-4d8a30f38118 · outbound

This paper cites Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T12:10:12.932822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:12.932822Z digest=sha256:6e6289e8df8354e22954534cb0b07133ca61fb1ee9381040017462579a9e4eae

Observation 3a6b0eec-23dc-4d32-99a0-be194c49ed2b · outbound

This paper cites Towards end-to-end speech recognition with recurrent neural networks,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Towards end-to-end speech recognition with recurrent neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:19.512945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.048197Z digest=sha256:73ed51eb32f53c4cc25ea56bd42cb6085bc32eeef3a0ddbe3061cea0119634dc

Observation bfb45070-306d-4951-8079-50e03cdfb4db · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition OWSM-CTC: An open encoder-only speech foundation model for speech recog- nition, translation, and language identification,

Reference 16

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no resolver link, observed 2026-08-07T12:10:13.124415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:13.124415Z digest=sha256:62dd6cca588b22212ed8c5f5014f7f6e8a7bb760e563e9d13f86c360c8d2171c

Observation 4ac94336-267c-4aec-85c1-76742d328413 · outbound

This paper cites A comparative study on non-autoregressive modelings for speech- to-text generation,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition A comparative study on non-autoregressive modelings for speech- to-text generation,

Reference 17

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raw_fallback, observed 2026-08-07T12:10:19.355664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.208163Z digest=sha256:fd9da2cf2712524cd5da09466b1dd56d66398e3f5d9eb5fc24f77deb62e918ea

Observation 75c828cd-5f06-44f0-a835-012e997dc433 · outbound

This paper cites Intermediate loss regularization for CTC-based speech recognition,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Intermediate loss regularization for CTC-based speech recognition,

Reference 18

Resolution
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raw_fallback, observed 2026-08-07T12:10:19.220763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.298973Z digest=sha256:79ddaac06c075f7452c738d8d9a0e6fb40681f85d732391f98704b8ae5bbf245

Observation 5245cce6-c75f-4e0a-9c90-925b4cb26f6a · outbound

This paper cites Imputer: Sequence modelling via imputation and dynamic pro- gramming,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Imputer: Sequence modelling via imputation and dynamic pro- gramming,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:19.073486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.369571Z digest=sha256:9385387c3f38904dc879e98e15f551f012bb91bc9a3d7bd78ac8aff380d404c2

Observation f384f558-bd07-4e4f-bae2-d851bc3fdc1b · outbound

This paper cites Mask CTC: Non-autoregressive end-to-end asr with CTC and mask predict,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Mask CTC: Non-autoregressive end-to-end asr with CTC and mask predict,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:18.941202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.476753Z digest=sha256:14cb3d22a5a2e160a0cf3d4b64169ddfe3e7f5a7243ff1b043b1a47af7b94e57

Observation 9571a451-bb87-48b7-9e22-bb31219e4b9f · outbound

This paper cites Align-refine: Non- autoregressive speech recognition via iterative realignment,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Align-refine: Non- autoregressive speech recognition via iterative realignment,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:18.776449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.592484Z digest=sha256:1131faffdd730180d6abd37cc0a04013d83110f15745323aa28e3b9152bf315e

Observation 4ae13f2b-5488-4a6d-81d1-18810a7b5866 · outbound

This paper cites Deja-vu: Double feature presentation and iterated loss in deep transformer networks,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Deja-vu: Double feature presentation and iterated loss in deep transformer networks,

Reference 22

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raw_fallback, observed 2026-08-07T12:10:18.496240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.692122Z digest=sha256:2df513d9221aa1f5434ac25717203bb83987b04949bf219e024f3ccb8620cf75

Observation fb094cca-e4e0-4849-b406-5a8e3c5bc87f · outbound

This paper cites Relaxing the conditional indepen- dence assumption of CTC-based asr by conditioning on interme- diate predictions,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Relaxing the conditional indepen- dence assumption of CTC-based asr by conditioning on interme- diate predictions,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:18.234055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.763753Z digest=sha256:28024d9af6b0bdb090c3c6280ebffce0fb71d921f84cbf962a3c42d8d220369f

Observation c1c96fff-68be-4d17-b2a9-b71fb3cdd9ed · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Deep context: End-to-end contextual speech recogni- tion,

Reference 24

Resolution
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no resolver link, observed 2026-08-07T12:10:13.862269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:13.862269Z digest=sha256:4cfda55c34f70d38d224544afb19f45694e52b9a079ea6d43e9fa98423e7b6af

Observation cf1a0ad9-e7b0-434f-abd2-2d571f1823bc · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextual RNN-T for open domain ASR,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:17.998531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:13.968167Z digest=sha256:6d7a7297f664e6c75ded77a22614d07ddfad20d2a556db4dd2dd90f651b9dc78

Observation 794a3bf8-c527-4193-b50e-9b075851b61a · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Instant one-shot word-learning for context-specific neural sequence-to-sequence speech recognition,

Reference 26

Resolution
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no resolver link, observed 2026-08-07T12:10:14.066179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.066179Z digest=sha256:71a3730d86682c1ed3072acae9d02fb7ec4d4877aeb8ec472f3be3445d2ffad5

Observation ce02ae77-7546-4e6d-9a8a-4a58ee466b7d · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition CopyNE: Better Contextual ASR by Copying Named Entities

Reference 27

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no resolver link, observed 2026-08-07T12:10:14.150866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.150866Z digest=sha256:2580c88149f9cd624e936340b484279e017412999b3f1b8f0e2706a0a64ce4cb

Observation 102df491-7183-452b-8e73-1f965429b88e · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextualized automatic speech recognition with attention- based bias phrase boosted beam search,

Reference 28

Resolution
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no resolver link, observed 2026-08-07T12:10:14.214788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.214788Z digest=sha256:a315c65c9cd52463ebaa699aaf1fbfa9a1ee5d7bf9265483f466bfe9be32f8ac

Observation 9d3d5f47-c2d4-467a-9505-58ed3470e765 · outbound

This paper cites Contextu- alized end-to-end speech recognition with contextual phrase pre- diction network,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextu- alized end-to-end speech recognition with contextual phrase pre- diction network,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:17.797418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:14.313415Z digest=sha256:96ced077dd523ed71c680b21aa170f289bcf9904702d605be7c15ac91531af20

Observation fd63fa95-b93f-4ab7-84ce-8fbd8502471d · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextualized end-to-end automatic speech recognition with intermediate bias- ing loss,

Reference 30

Resolution
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no resolver link, observed 2026-08-07T12:10:14.403437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.403437Z digest=sha256:a1a60f3d7bfade29fbdfca58c93223545796c0a8df7cfc18ae07b4f3a5646d5d

Observation c1e56d48-d8fd-4309-bb19-e7063fafbbca · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Interbiasing: Boost unseen word recognition through biasing intermediate predictions,

Reference 31

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.441813Z digest=sha256:6325cf567af56c50e683247276af9c1b6f37cddb799892d4acde1b89f297113e

Observation 25776a75-a65b-4ded-844f-10a65e189b41 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion,

Reference 32

Resolution
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no resolver link, observed 2026-08-07T12:10:14.498159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.498159Z digest=sha256:e5eed021b1d408a9f479924780fdcb6345a5fe4c54cd9e9abd4253f4bfeb5248

Observation 06d96c0b-b511-4808-8a9c-5c8adcd296b8 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Improving large-scale deep biasing with phoneme features and text-only data in streaming transducer,

Reference 33

Resolution
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no resolver link, observed 2026-08-07T12:10:14.556692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.556692Z digest=sha256:910ad6d3554852f6cce1a0b4a3aa6e7b3fdef718b1a3b09667e328d402c1b3c0

Observation 71d41ac3-de06-4fd4-8e61-8d68673b4c03 · outbound

This paper cites To- wards contextual spelling correction for customization of end- to-end speech recognition systems,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition To- wards contextual spelling correction for customization of end- to-end speech recognition systems,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:17.530935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:14.633633Z digest=sha256:099f0d46b2548ee019dc16086a31b203188f4206f83626e33d97f477eb92b40a

Observation b57f7763-9134-4504-95e2-9b4582a170c4 · outbound

This paper cites Improving contextual spelling correction by external acoustics attention and semantic aware data augmentation,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Improving contextual spelling correction by external acoustics attention and semantic aware data augmentation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:17.325572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:14.693983Z digest=sha256:b3e9acd0f01f699c4893070a920fa0e77d5f9c56d3ba8e180ed80cf8b535f52e

Observation 7c2ef82b-2700-4d70-8e00-9c219265a79f · outbound

This paper cites Phoebe: Pronunciation-aware contextualization for end-to-end speech recognition,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Phoebe: Pronunciation-aware contextualization for end-to-end speech recognition,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:14.773363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.773363Z digest=sha256:27ca0420d8240fa012e3e1f776068229fbd9c4dd0aa0bb162fb5e9fb8353f30d

Observation 2ec24f38-ebc5-44e5-92db-0e1ff2ca2567 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Phoneme-aware encoding for prefix-tree-based contextual asr,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:17.122444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:14.871019Z digest=sha256:13b99b403a1bf3b88714515943b29f517d16ffda159dfaf6782698dcb8376642

Observation 1d2da6d0-d6a0-4c67-9711-4c7659062466 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Retraining-free customized ASR for enharmonic words based on a named-entity-aware model and phoneme similarity estimation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:14.928331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:14.928331Z digest=sha256:c2bfad59b132eb6f6dee0442cb463f1186e4975bcf17498a8c604434d91a1d13

Observation d4509bf6-4bd5-45a6-8db9-1e20e60c7ccd · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Contextualized automatic speech recognition with dynamic vo- cabulary,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.011554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.011554Z digest=sha256:9f5b73066876049b6ad4a916aa81136ada0ade05f6fcc61f4e657dbb629b7fda

Observation c815afa8-d76d-4bef-bd44-832b44c8b8ee · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Hy- brid ctc/attention architecture for end-to-end speech recognition,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.121691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.121691Z digest=sha256:7fe4a836fe85f299a603881299430b93fc05006fca3b226ffeb7fc740d8b4d1a

Observation 5b72b410-a582-4951-bd8a-0c2bf03d882c · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Joint beam search integrating ctc, attention, and transducer decoders,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:16.873118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:15.221701Z digest=sha256:1e56528e49b6620e0102c1f01294e915524dba93b205859aa13b74c784dd821f

Observation d11b82b8-84f4-4108-b216-e9e696d0e628 · outbound

This paper cites Attention is all you need,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Attention is all you need,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.309918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.309918Z digest=sha256:713229dda6ecd895526c0ffa021eac930ed385b02e2b5ae1ccf571dc72bb9a37

Observation 35bf040a-8768-4c35-a455-aa8a566a6b05 · outbound

This paper cites SpecAugment: A simple data augmentation method for automatic speech recog- nition,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition SpecAugment: A simple data augmentation method for automatic speech recog- nition,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:16.594092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:15.413570Z digest=sha256:b00e9e08899d94f29d3b3645b102bfc88a2dd82f70c78a9b503ba68ad8525a21

Observation cd26f004-2b21-4320-979a-19ed60df1171 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Lib- rispeech: an ASR corpus based on public domain audio books,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.523008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.523008Z digest=sha256:8fa432cd1fd3065cc528d90d5e5471864c3dc610df01e0298b94028549ce2264

Observation 29cf2eae-a7a7-41c0-aec2-e6c0894a65a0 · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition ESPnet: End-to-end speech processing toolkit,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.633832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.633832Z digest=sha256:a52da391acc25b7e78c21f815588060dda0b7cb1973af34c2d057c44a08d410a

Observation 3dd4f1d8-bc17-447f-9ce3-8b74aa13ccdc · outbound

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

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition Corpus of spontaneous Japanese: Its design and evaluation,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:15.739200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:15.739200Z digest=sha256:9928919290ef44f8a1c87ffe9fd73ea85a40c4c324dabce0354d0cdd8f9a4649

Observation 73f14ab4-e5c0-4c0b-a0a3-277d95e737b0 · outbound

This paper cites ATR Japanese speech database as a tool of speech recognition and synthesis,.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition ATR Japanese speech database as a tool of speech recognition and synthesis,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:16.337577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:15.889094Z digest=sha256:674801eefbc27fec42ea1a997aeaadd59c3cb86ba1948a033e120dd2e9c68c9b

Pith citing papers

Observation 371fb340-2ff5-4c67-b189-e319fb6e2e79 · inbound

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition cites this paper.

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:10:16.152978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:10:11.765624Z digest=sha256:65a01c4992acafab8b577d74f6cbb64d43b6fa8c1ba4d7f48e6788fc315a8953