Paper Citation Record · LEDGER

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2501.13497.

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

pith.paper-citation-record.v1
2501.13497 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:42.593345Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy40
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9fc8469-598e-4b1d-920d-c5ba76a42b81 · outbound

This paper cites Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:43.034896Z

Source-reported events for the cited work

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Observation 9667b6c9-82b5-4980-9592-2f540f31df3f · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:43.025128Z

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.

Observation 5fbe5396-558c-4ef8-b2d9-f9678309ac45 · outbound

This paper cites Katzner and K.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Katzner and K

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:43.015233Z

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.

Observation deb73cae-7927-4e55-acc4-9b4dab257d2d · outbound

This paper cites XLS-R: Self- supervised cross-lingual speech representation learning at scale,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition XLS-R: Self- supervised cross-lingual speech representation learning at scale,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:43.005777Z

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Observation 10cdc0bb-4350-4c6e-ba7d-c7f358df2a47 · outbound

This paper cites Self- supervised learning with random-projection quantizer for speech recognition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Self- supervised learning with random-projection quantizer for speech recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.995920Z

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.

Observation 33206125-1e87-4aba-ad17-79d53dd06993 · outbound

This paper cites Unispeech: Unified speech rep- resentation learning with labeled and unlabeled data,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Unispeech: Unified speech rep- resentation learning with labeled and unlabeled data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.986303Z

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.

Observation 839da7ef-59e2-4cfe-b4d8-c4d78e277e78 · outbound

This paper cites Tranusr: Phoneme-to-word transcoder based unified speech representation learning for cross-lingual speech recognition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Tranusr: Phoneme-to-word transcoder based unified speech representation learning for cross-lingual speech recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.975883Z

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.

Observation 2658c87a-0064-41bf-99ce-9882d5ad6911 · outbound

This paper cites Data2vec: A general framework for self- supervised learning in speech, vision and language,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Data2vec: A general framework for self- supervised learning in speech, vision and language,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.966144Z

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.

Observation 1dd5c455-49b2-4a44-8e2a-1748b9c3585a · outbound

This paper cites Mo- mentum contrast for unsupervised visual representation learning,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Mo- mentum contrast for unsupervised visual representation learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.956760Z

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.

Observation 3bd2bd73-bb53-465c-89b6-2884422e5375 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.947170Z

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.

Observation e402279e-b1bf-43e8-bef5-cb7350c04f9e · outbound

This paper cites Vq-wav2vec: Self-supervised learning of discrete speech representa- tions,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Vq-wav2vec: Self-supervised learning of discrete speech representa- tions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.937762Z

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.

Observation 707a6783-a8de-41d9-8620-22d4a10e47f9 · outbound

This paper cites SUPERB: Speech processing universal performance benchmark,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition SUPERB: Speech processing universal performance benchmark,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.928387Z

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.

Observation 11941234-d00d-4687-9861-fa064edd743b · outbound

This paper cites Mas- sively multilingual ASR: 50 languages, 1 model, 1 billion parameters,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Mas- sively multilingual ASR: 50 languages, 1 model, 1 billion parameters,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.919017Z

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.

Observation 9fbab78f-f90a-46b5-b455-35bf4df70dae · outbound

This paper cites A unified system for multilingual speech recognition and language iden- tification,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition A unified system for multilingual speech recognition and language iden- tification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.909595Z

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.

Observation ccdcf5da-8602-45cd-af32-4c192ef53f36 · outbound

This paper cites Improving massively multilingual ASR with auxiliary CTC objectives,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Improving massively multilingual ASR with auxiliary CTC objectives,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.899936Z

Source-reported events for the cited work

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Observation 30542781-2cdd-4cd9-ab7b-5497914f8633 · outbound

This paper cites Layer-wise anal- ysis of a self-supervised speech representation model,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Layer-wise anal- ysis of a self-supervised speech representation model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.890668Z

Source-reported events for the cited work

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Observation 1d506e3c-8735-4ad5-a59d-a7a2205dbe7b · outbound

This paper cites What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure

Reference 17

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Source-reported events for the cited work

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Observation 5a34dbad-4aef-4360-8984-27414c95cd1b · outbound

This paper cites SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:57:42.639258Z

Source-reported events for the cited work

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Observation ec95d4d8-1ac9-4e50-8b3e-c5c0cfdadd10 · outbound

This paper cites Neural discrete representation learning,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Neural discrete representation learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.881003Z

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.

Observation c89c2a6d-658c-4e50-ba73-e203532bb2f6 · outbound

This paper cites Common V oice: A massively-multilingual speech corpus,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Common V oice: A massively-multilingual speech corpus,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.871524Z

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.

Observation 89548db9-6d8f-4a8f-908c-cce5f4f08471 · outbound

This paper cites Hubert: Self- supervised speech representation learning by masked prediction of hidden units,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Hubert: Self- supervised speech representation learning by masked prediction of hidden units,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.862351Z

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.

Observation 3c5c16d2-f32a-4bee-8996-e6dbf79b4dda · outbound

This paper cites WavLM: Large- scale self-supervised pre-training for full stack speech processing,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition WavLM: Large- scale self-supervised pre-training for full stack speech processing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.852920Z

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.

Observation 2ff3f2c7-ba79-4baf-a7fd-0d9c9e81ba91 · outbound

This paper cites W2v-BERT: Combining con- trastive learning and masked language modeling for self- supervised speech pre-training,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition W2v-BERT: Combining con- trastive learning and masked language modeling for self- supervised speech pre-training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.843182Z

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.

Observation 934ba7f0-c682-46a9-864b-fc566ee3f743 · outbound

This paper cites wav2vec: Unsupervised pre-training for speech recog- nition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition wav2vec: Unsupervised pre-training for speech recog- nition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.833805Z

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.

Observation 81844eb0-b01e-4766-b05b-50daee5da045 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.824211Z

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.

Observation 9589f659-9c7b-42a8-85af-5180fad9a554 · outbound

This paper cites Categorical reparame- terization with Gumbel-Softmax,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Categorical reparame- terization with Gumbel-Softmax,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.814760Z

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.

Observation 64c536b0-978e-4c42-b5b4-29b0f2093e5f · outbound

This paper cites A* sampling,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition A* sampling,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.805461Z

Source-reported events for the cited work

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Observation faa320a7-cb69-4e79-a8bd-ef58a5320f42 · outbound

This paper cites Joint unsupervised and super- vised training for multi-lingual ASR,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Joint unsupervised and super- vised training for multi-lingual ASR,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.796208Z

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.

Observation 52c33285-d58e-43fc-9647-6fe0ca18517e · outbound

This paper cites Cross-lingual self-training to learn multi-lingual representation for low-resource speech recognition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Cross-lingual self-training to learn multi-lingual representation for low-resource speech recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.786948Z

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.

Observation eb84b64b-3d5b-49f2-b195-c0ad7aa8b999 · outbound

This paper cites Attention is all you need,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Attention is all you need,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.777155Z

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.

Observation 01c1387a-4e48-4bcf-8d00-cdc8365e8358 · outbound

This paper cites Connectionist temporal classification: labelling unseg- mented sequence data with recurrent neural networks,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Connectionist temporal classification: labelling unseg- mented sequence data with recurrent neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.767993Z

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.

Observation b2b594aa-7869-4f97-ab40-dc9da1c7e498 · outbound

This paper cites Sequence transduction with recurrent neural networks,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Sequence transduction with recurrent neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.758559Z

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.

Observation 2d903276-2441-4c58-bed6-0e420676a7c0 · outbound

This paper cites Exploring wav2vec 2.0 on speaker verification and language identification,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Exploring wav2vec 2.0 on speaker verification and language identification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.748247Z

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.

Observation 3096c2af-3bfa-4c54-b865-d02d525a6a93 · outbound

This paper cites Non-contrastive self-supervised learning for utterance- level information extraction from speech,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Non-contrastive self-supervised learning for utterance- level information extraction from speech,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.738482Z

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.

Observation f1f2d725-31e2-4991-9735-698279184ec8 · outbound

This paper cites Unispeech-sat: Uni- versal speech representation learning with speaker aware pre-training,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Unispeech-sat: Uni- versal speech representation learning with speaker aware pre-training,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.728961Z

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.

Observation f0b75b26-219d-40de-a6ef-e9a5278ee4da · outbound

This paper cites Trinet: stabilizing self-supervised learning from complete or slow collapse,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Trinet: stabilizing self-supervised learning from complete or slow collapse,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.719210Z

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.

Observation 585fbd0d-601d-4791-9187-bbd8dd544226 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:42.573440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98244585-84b0-424b-8f93-6a48133dbd2e · outbound

This paper cites Goodfellow, Y.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Goodfellow, Y

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.708985Z

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.

Observation 6e4242c0-1cbc-45f0-95fd-fbe6c2e3e77f · outbound

This paper cites Product quanti- zation for nearest neighbor search,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Product quanti- zation for nearest neighbor search,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.698215Z

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.

Observation 891056d3-950d-4e1b-9296-97d49579a590 · outbound

This paper cites Exploring simple siamese rep- resentation learning,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Exploring simple siamese rep- resentation learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.688329Z

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.

Observation dff6aa5b-3646-48e9-ba17-f2d19aa90203 · outbound

This paper cites Fairseq: A fast, extensible toolkit for sequence modeling,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Fairseq: A fast, extensible toolkit for sequence modeling,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.678726Z

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.

Observation c6bcdaba-0bb0-4d52-bd6b-5877f290d375 · outbound

This paper cites Adam: A method for stochas- tic optimization,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Adam: A method for stochas- tic optimization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.668826Z

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.

Observation f1b0d0ea-25be-408d-93b6-2d7e82c8b11a · outbound

This paper cites Unsupervised cross-lingual representation learning for speech recognition,.

DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition Unsupervised cross-lingual representation learning for speech recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:42.659087Z

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.

Pith citing papers

No inbound Pith citation observations are available.