Paper Citation Record · LEDGER

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.01503.

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

pith.paper-citation-record.v1
2506.01503 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:46:57.913687Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:45:37.870594Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:46:57.971364Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d626820-90a3-448c-9ab6-fd1410768463 · outbound

This paper cites These models are trained on large amounts of data either in a supervised or unsu- pervised fashion.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation These models are trained on large amounts of data either in a supervised or unsu- pervised fashion

Reference 1

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Observation d6224ec4-475f-4d81-80dc-16108355d01b · outbound

This paper cites Analyzing the Importance of Blank for CTC-Based Knowledge Distillation.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Analyzing the Importance of Blank for CTC-Based Knowledge Distillation

Reference 2

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Observation b1dcb285-b02f-4a51-b439-fcfbca67399f · outbound

This paper cites peaky behavior.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation peaky behavior

Reference 3

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Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Unresolved cited work

Reference 4

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Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Unresolved cited work

Reference 5

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Observation 54f10970-65d2-4cc4-a150-8ec1f35f27d3 · outbound

This paper cites Data In this work we make use of the two English datasets TED- LIUMv2 (TEDv2) [22] and LibriSpeech (LBS) [23].

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Data In this work we make use of the two English datasets TED- LIUMv2 (TEDv2) [22] and LibriSpeech (LBS) [23]

Reference 6

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Observation 6f983705-a18e-4ef0-a3e6-fde8698c328b · outbound

This paper cites Baselines The baseline performance of our models can be seen in Table 1.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Baselines The baseline performance of our models can be seen in Table 1

Reference 7

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Observation 6fcbc4ad-0912-4f5a-af54-51c152cf609c · outbound

This paper cites This might be due to the fact that blank distributions induced by CTC training might depend a lot on the data, as blank serves both as a wait and a silence token.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation This might be due to the fact that blank distributions induced by CTC training might depend a lot on the data, as blank serves both as a wait and a silence token

Reference 8

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Observation a6c6ba12-3420-475d-a25b-95976f7503de · outbound

This paper cites For this we used a large pre-trained teacher to distill knowledge to a medium sized student for two different English corpora.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation For this we used a large pre-trained teacher to distill knowledge to a medium sized student for two different English corpora

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.419747Z

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Observation f2532d77-797c-42f4-8a4e-9ef78bd016be · outbound

This paper cites Clusters4Future.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Clusters4Future

Reference 10

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Observation 4eceb207-1830-4839-ac36-1ac13eaab904 · outbound

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

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Robust speech recognition via large-scale weak su- pervision,

Reference 11

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Observation d45db89e-6b4c-4ff0-8428-f30852324549 · outbound

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

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 12

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Observation 24ac868a-f203-431b-9cb8-1b2e6bee7c4b · outbound

This paper cites wav2vec 2.0: a framework for self-supervised learning of speech representa- tions,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation wav2vec 2.0: a framework for self-supervised learning of speech representa- tions,

Reference 13

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Observation 705c3b11-3964-4908-bef3-941c3ef62dd3 · outbound

This paper cites Distilling the knowledge in a neural network,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Distilling the knowledge in a neural network,

Reference 14

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Observation 1a12c065-d465-4bff-b0e1-414f43ffc044 · outbound

This paper cites An investigation of a knowl- edge distillation method for ctc acoustic models,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation An investigation of a knowl- edge distillation method for ctc acoustic models,

Reference 15

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Observation 4d9b9aae-b677-4e0f-a15c-95e07c128ba2 · outbound

This paper cites Knowledge distillation for sequence model,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Knowledge distillation for sequence model,

Reference 16

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Observation e98827a9-3c23-4279-9ba1-f9f9f1b6ec1e · outbound

This paper cites Guiding ctc posterior spike tim- ings for improved posterior fusion and knowledge distillation,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Guiding ctc posterior spike tim- ings for improved posterior fusion and knowledge distillation,

Reference 17

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Observation 79accc86-cae0-494f-908c-4fdd2f25e85e · outbound

This paper cites Improved knowledge distillation from bi-directional to uni-directional lstm ctc for end-to-end speech recognition,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Improved knowledge distillation from bi-directional to uni-directional lstm ctc for end-to-end speech recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.784814Z

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Observation 122535d3-2860-47c5-b076-5944f593169f · outbound

This paper cites Knowledge distillation for ctc-based speech recognition via con- sistent acoustic representation learning,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Knowledge distillation for ctc-based speech recognition via con- sistent acoustic representation learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.704616Z

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Observation 0e5cee72-899e-444a-8a76-4cc9c3f31990 · outbound

This paper cites Factorized and progressive knowledge distillation for ctc-based asr models,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Factorized and progressive knowledge distillation for ctc-based asr models,

Reference 20

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Observation 40e468dd-f18d-4d52-906a-11ee05bb55bc · outbound

This paper cites Efficient knowledge distillation for rnn-transducer models,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Efficient knowledge distillation for rnn-transducer models,

Reference 21

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Observation 780a5cda-6b40-4f4f-9f95-1870eba08681 · outbound

This paper cites Robust knowledge distillation from rnn-t models with noisy training labels using full-sum loss,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Robust knowledge distillation from rnn-t models with noisy training labels using full-sum loss,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.618670Z

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Observation afb74e97-7204-4d70-bebd-4d57de0ed5bd · outbound

This paper cites Sisyphus, a workflow manager de- signed for machine translation and automatic speech recognition,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Sisyphus, a workflow manager de- signed for machine translation and automatic speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.595286Z

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Observation 6050886e-f8dd-4319-bf93-d9fd0f95505d · outbound

This paper cites Returnn: The RWTH extensible training framework for universal recurrent neural networks,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Returnn: The RWTH extensible training framework for universal recurrent neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.571520Z

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Observation 1f5a7dc5-8f86-4794-894d-e1220077a126 · outbound

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

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.534828Z

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Observation d636eab5-795c-46f7-bfb6-c4e906518adb · outbound

This paper cites Why does CTC result in peaky behavior?.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Why does CTC result in peaky behavior?

Reference 26

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Observation 8481a94b-8e6b-413e-a488-57e63340ef68 · outbound

This paper cites Connectionist temporal classifica- tion with maximum entropy regularization,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Connectionist temporal classifica- tion with maximum entropy regularization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.504302Z

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Observation f6e7f629-825a-49e9-9603-02c1ea10bf4a · outbound

This paper cites Reinterpreting ctc training as iterative fit- ting,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Reinterpreting ctc training as iterative fit- ting,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.471296Z

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Observation 11dc99e5-6c45-4126-ad84-d77b1e5f4950 · outbound

This paper cites Less peaky and more accurate ctc forced align- ment by label priors,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Less peaky and more accurate ctc forced align- ment by label priors,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.450304Z

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Observation 434885ec-c4f1-4bbb-8a76-7bc9768e178e · outbound

This paper cites Investigation of sequence- level knowledge distillation methods for ctc acoustic models,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Investigation of sequence- level knowledge distillation methods for ctc acoustic models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.425822Z

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Observation 900bca3f-9eaf-47b4-92f4-a26382ac5b17 · outbound

This paper cites Acoustic modelling with cd-ctc-smbr lstm rnns,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Acoustic modelling with cd-ctc-smbr lstm rnns,

Reference 31

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Observation 61ece61c-f937-44ca-98e5-53220aefb0a5 · outbound

This paper cites Enhancing the ted- lium corpus with selected data for language modeling and more ted talks,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Enhancing the ted- lium corpus with selected data for language modeling and more ted talks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.378844Z

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Observation 9b3776de-02c0-4524-8698-1034d9750ab6 · outbound

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

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Lib- rispeech: An asr corpus based on public domain audio books,

Reference 33

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Observation 962813b4-2afd-4732-b813-6de6722e3a44 · outbound

This paper cites Joint-sequence models for grapheme-to- phoneme conversion,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Joint-sequence models for grapheme-to- phoneme conversion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.334542Z

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Observation 61286f7f-b169-4770-99e3-9f9e63839204 · outbound

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

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Libri-light: A benchmark for asr with limited or no supervision,

Reference 35

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Observation c21528ac-6a16-480d-a399-ab4e1ac417e7 · outbound

This paper cites Compari- son of soft and hard target rnn-t distillation for large-scale asr,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Compari- son of soft and hard target rnn-t distillation for large-scale asr,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.281469Z

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Observation 43c5bada-2610-4ba4-ac52-1b286952d719 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Conformer: Convolution-augmented transformer for speech recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.253489Z

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Observation 802f7180-b057-4fbd-a48a-d645b5dc607b · outbound

This paper cites Self-attention with rela- tive position representations,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Self-attention with rela- tive position representations,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.226053Z

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Observation 846ae6f6-8329-480a-9d05-081cb260250d · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.195323Z

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Observation c72b7bd6-44f3-413c-8fa8-358d2ab810b4 · outbound

This paper cites Dropout: A simple way to prevent neural net- works from overfitting,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Dropout: A simple way to prevent neural net- works from overfitting,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.171857Z

Source-reported events for the cited work

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Observation a8ada6b8-fc99-419c-8312-26262879bfc1 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Decoupled weight decay regulariza- tion,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.146447Z

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Observation 484fc8ab-ed0a-41e2-9c29-3122276f0248 · outbound

This paper cites Flashlight: Enabling inno- vation in tools for machine learning,.

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Flashlight: Enabling inno- vation in tools for machine learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.093862Z

Source-reported events for the cited work

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Pith citing papers

Observation d6224ec4-475f-4d81-80dc-16108355d01b · inbound