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Paper Citation Record · LEDGER

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2507.02911.

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

pith.paper-citation-record.v1
2507.02911 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:02:15.045500Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:02:14.896688Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:02:15.149755Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a6afb51-3522-48b2-9ef2-524ff1942b0f · outbound

This paper cites teacher” model to a smaller “student.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective teacher” model to a smaller “student

Reference 1

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raw_fallback, observed 2026-08-06T23:02:15.586100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation adebe8ba-b18a-4d03-aa85-766b948601ee · outbound

This paper cites DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective

Reference 2

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local_arxiv, observed 2026-08-06T23:02:15.156368Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.896688Z digest=sha256:db28620e466daa8c20b53c40f7ae16dcdbeaa73edbcde476861049770022daaf

Observation 8db71925-ca7e-4575-b4b8-61316bff930a · outbound

This paper cites an unresolved cited work.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Unresolved cited work

Reference 3

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Observation f3c16daa-8d5d-435e-807e-eb8075bff7af · outbound

This paper cites an unresolved cited work.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.906036Z digest=sha256:521f48fa884afd55bae8d49b9aa6939d3998d4f6b85405a43f2dd7e7356791c8

Observation d07dd902-c37d-48d0-9278-b1377e2c51a0 · outbound

This paper cites an unresolved cited work.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.910853Z digest=sha256:ef7807bf3ec910c485ebbcf1179e6e6299190038171453d4c0f0c5751268e348

Observation 5ea88b41-84a7-495c-9e09-7233a3e3800b · outbound

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

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.915251Z digest=sha256:f2db0db08b86c32a8f73ffa39cd2443c7f88f355e7c85557749cdc30d4ed5bc4

Observation bf25a9db-d4ad-4017-b32a-95c7144fc6d2 · outbound

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

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.919529Z digest=sha256:1cb4780325e788846400ebdcb3748036bdd62d705314f421016eafcd489f1767

Observation 9c45acdc-6447-4222-a9a4-30e448fac80a · outbound

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

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.923621Z digest=sha256:a3fef64c5a5f4a1f3a0b7d681f017a73fbe7b4f568680362b3fc1bffead9a2cf

Observation dad648f9-9aa1-4934-b17b-0668ee6d121e · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.927874Z digest=sha256:94d40be70bc463c1708bcb7dcd32a41f647081926e8cb4892b8927655acea96b

Observation 38cd7e67-71b7-409c-9f31-de8c7d8cfe8c · outbound

This paper cites Speech-xlnet: Unsupervised acoustic model pretraining for self- attention networks,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Speech-xlnet: Unsupervised acoustic model pretraining for self- attention networks,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.932690Z digest=sha256:867de0f15940c8138c2075c09c4469d69b08f5299c948dcb2fc8317b33d35604

Observation a025ef31-7fdb-4005-b42f-2af2692303f6 · outbound

This paper cites Investigating self-supervised learning for speech enhancement and separation,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Investigating self-supervised learning for speech enhancement and separation,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.938262Z digest=sha256:3ceca897ecb18609a507972124ddd99f4474a56d927dcaa0a293fb7ad15de5ff

Observation d15c7076-8889-4b63-b7ec-50ffb23f0608 · outbound

This paper cites An explo- ration of self-supervised pretrained representations for end-to-end speech recognition,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective An explo- ration of self-supervised pretrained representations for end-to-end speech recognition,

Reference 12

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raw_fallback, observed 2026-08-06T23:02:15.475572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.942450Z digest=sha256:4cd279686531f02192ae69f811d5670c4f844f7391a02bdb250db741ed7f1972

Observation 49378fce-3db4-4907-b404-2cbade93abc3 · outbound

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

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.946669Z digest=sha256:2e2ff9a776cd1dcba3b560912d4a04d151283deac3262b03d09f75ab624718c2

Observation 7c2e5a89-e08f-49d3-a8b9-d888ad0ce4d2 · outbound

This paper cites Convolutional neural networks for small-footprint keyword spotting.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Convolutional neural networks for small-footprint keyword spotting

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.950898Z digest=sha256:88729d0ae746549785f7189bd7974efb5db23f3f8bbab2e138f06d2fa271f21b

Observation faaf83ea-c45b-4794-ba55-a531a3903d5e · outbound

This paper cites Monophone-based background modeling for two-stage on-device wake word de- tection,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Monophone-based background modeling for two-stage on-device wake word de- tection,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.955053Z digest=sha256:a5fe34a8d4aec119eb834347ba4143285d38d935b6113fbf879b73fb8183ee62

Observation 5029e2bd-efd8-4670-9e0c-79d26d42a387 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Distilling the Knowledge in a Neural Network

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.959185Z digest=sha256:4addbbb35ea21f08405b5041cd7eb0bdd15257295ed9944f780cc167459f2951

Observation e0ce6d4d-8ccb-47a0-ba3a-7530cf893636 · outbound

This paper cites Knowledge distilla- tion: A survey,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Knowledge distilla- tion: A survey,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.963512Z digest=sha256:c2802c4be8d4d516336cfefc1361fdb46422fab10d722a9a6132f60737f609ad

Observation 85530ea5-dd52-45de-b1f8-f9d11d07d229 · outbound

This paper cites Do deep nets really need to be deep?.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Do deep nets really need to be deep?

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.967538Z digest=sha256:fe10e3d60354fe75520b58f022464c15c50709c5752f412969447f4d1e1d2f74

Observation b74e7579-cc6b-47ae-8b5d-f6f27d76040e · outbound

This paper cites Learn- ing efficient object detection models with knowledge distillation,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Learn- ing efficient object detection models with knowledge distillation,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 83f49035-54e2-47c9-b4c9-93a36e4a0a5d · outbound

This paper cites Knowledge distillation across ensembles of multilingual mod- els for low-resource languages,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Knowledge distillation across ensembles of multilingual mod- els for low-resource languages,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.975001Z digest=sha256:fff21405bc5c1e932fbd5a94cd2ddae5e60f6bdb69c0296db5f351a0f85df47f

Observation 35f36f3d-81f0-4208-bdb4-c5b827fd40c5 · outbound

This paper cites Distilling knowl- edge from graph convolutional networks,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Distilling knowl- edge from graph convolutional networks,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.978976Z digest=sha256:5dac54aed0fa71e08c9688cbe3a4d98ce5a0edeaac8ce81ecca801da5eec2833

Observation 4c33b322-66ed-410b-af0c-fbe8acddfcf5 · outbound

This paper cites Domain adaptation of dnn acoustic models using knowledge distillation,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Domain adaptation of dnn acoustic models using knowledge distillation,

Reference 22

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raw_fallback, observed 2026-08-06T23:02:15.351333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.983229Z digest=sha256:fa4d31c6854d1a8e218f78f67ac361ce1c10f8674a581c340e3e78b9361dcff4

Observation f76cbfe7-9c57-407a-9615-11a4097f5250 · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:14.987091Z digest=sha256:2c442266feff1c3572ba29063d1e031191bfafa8ab5f11961f096a79baf4c347

Observation c16bc0d9-e53c-4773-9639-dceb94f881c7 · outbound

This paper cites Knowledge distillation with the reused teacher classifier,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Knowledge distillation with the reused teacher classifier,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.991101Z digest=sha256:f4127441070ddb5e74c92caaca704a248d857f2a6c5adf4396727f96055ed43b

Observation 678df10f-7153-460b-9e92-3080dc8b01f3 · outbound

This paper cites Dphubert: Joint distillation and pruning of self-supervised speech models,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Dphubert: Joint distillation and pruning of self-supervised speech models,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.994963Z digest=sha256:f1a63434595145800bd89bbbe125dbc18a7e8d960ed624b87229a0de292ac9c2

Observation b68ebff5-62c0-407e-8452-9c51f580626d · outbound

This paper cites Fithubert: Going thinner and deeper for knowledge distillation of speech self-supervised learning,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Fithubert: Going thinner and deeper for knowledge distillation of speech self-supervised learning,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.998823Z digest=sha256:0311257cf989d3bc9c572cc3e93c926b2f94ebd38fcc88a79e12752860a01827

Observation a32c2a67-dfa8-47fb-86cd-7e7432146212 · outbound

This paper cites Su- perb: Speech processing universal performance benchmark,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Su- perb: Speech processing universal performance benchmark,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.028402Z digest=sha256:2e0a8c0cfb2e7afa71ac8299297d57baa4151e9d5d1e4a5ddb64528bd854c654

Observation eb311ea3-0036-4b7c-9294-d8798a8246fc · outbound

This paper cites Recycle-and-distill: Universal compression strategy for transformer-based speech ssl models with attention map reusing and masking distillation,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Recycle-and-distill: Universal compression strategy for transformer-based speech ssl models with attention map reusing and masking distillation,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.007350Z digest=sha256:950e2e28f37e3b79184be8b901a3e9d086e48a837e1cfd4d441c1ad635c5c8ea

Observation 6662c183-0b9c-411f-ba0e-d0975716468c · outbound

This paper cites Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.011458Z digest=sha256:d48bfb7626744c0d28784db7a5f6dce5dc5dfe513a28fd4defa8d0d08e8aa125

Observation b6efb47a-37b4-4762-83ae-846b70c82b78 · outbound

This paper cites Star: Distilling speech temporal relation for lightweight speech self-supervised learning models,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Star: Distilling speech temporal relation for lightweight speech self-supervised learning models,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.015989Z digest=sha256:0825eb20de71779f20fe09da79c3d4e0a6a2d605c36766f50329051fa0e5f8b3

Observation d019be5a-8daa-4956-a46b-efa26358faa4 · outbound

This paper cites Lighthubert: Lightweight and configurable speech representation learning with once-for-all hidden-unit bert,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Lighthubert: Lightweight and configurable speech representation learning with once-for-all hidden-unit bert,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.020117Z digest=sha256:cb7a99704f12005a14b301580b402f55e2e7efe72e0362f59385a6ff78b6281f

Observation e19e009b-2d7f-4fa7-b2d9-55ee9bfd87e1 · outbound

This paper cites k-means++: The advantages of careful seeding,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective k-means++: The advantages of careful seeding,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:15.024246Z digest=sha256:0cd5ff771aa9f60678eb455f6a631a23881d4b3a4cf5b7c111460cc70e076dab

Observation 2d34d833-c5b0-4df4-b593-401c4785403a · outbound

This paper cites Why distillation helps: a statistical perspective.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Why distillation helps: a statistical perspective

Reference 34

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source=pdf_text observed=2026-08-06T23:02:15.032524Z digest=sha256:3f27f0e90708fdedd2a1e63ce1dd036270ccd1fd6c2d1329ac9573b2a8127fd7

Observation 51874dd6-4f8a-42a5-a457-39f10ea7f287 · outbound

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

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Lib- rispeech: an asr corpus based on public domain audio books,

Reference 35

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unresolved
no resolver link, observed 2026-08-06T23:02:15.037372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:15.037372Z digest=sha256:75f10b4f2ff3774eb029d73c1ab32a38e0829fa7009e436cd4dc121aab628af8

Observation 8e7d4ec9-c039-4081-9eae-aa8a09edb638 · outbound

This paper cites Exploring prediction targets in masked pre-training for speech foundation models,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Exploring prediction targets in masked pre-training for speech foundation models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:02:15.186259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.041444Z digest=sha256:e1ceb0ed48bbbfea40ac4f6106f90cd3dd735bdff16283833c2464fad082c2cc

Observation 98f32520-c1c1-4447-b015-251fb824154c · outbound

This paper cites Libri-light: A benchmark for asr with limited or no supervision,.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective Libri-light: A benchmark for asr with limited or no supervision,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:02:15.172182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.045500Z digest=sha256:92b090ea5c9b606e1327cc119fbbf3544ad1e3fce9779628affc7ae52c6e8fad

Observation e086fa7e-127a-4f6e-b60c-e2cf4f84b0e6 · outbound

This paper cites 3588–3592.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective 3588–3592

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:02:15.293580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:15.003147Z digest=sha256:b0a9aa532594ce8ce17997556eba9f02ae5bd84d2553346d41c3e1c805abc01f

Pith citing papers

Observation adebe8ba-b18a-4d03-aa85-766b948601ee · inbound

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective cites this paper.

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:02:15.156368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:02:14.896688Z digest=sha256:db28620e466daa8c20b53c40f7ae16dcdbeaa73edbcde476861049770022daaf