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Paper Citation Record · LEDGER

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2601.19919.

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

pith.paper-citation-record.v1
2601.19919 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:01:01.414371Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:00:57.108795Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

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Outbound references

Observation 49609f18-4257-42b3-b0aa-914a023085e7 · outbound

This paper cites In addition, with the rapid advancement of hardware, deep learning (DL)-based ASR is gaining more attention [3].

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition In addition, with the rapid advancement of hardware, deep learning (DL)-based ASR is gaining more attention [3]

Reference 1

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Observation 06bf35fe-10ce-492b-8187-cccd90efe84b · outbound

This paper cites ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition

Reference 2

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Observation 4053b3c0-093a-419b-8889-4b7bb6abfe36 · outbound

This paper cites an unresolved cited work.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Unresolved cited work

Reference 3

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Observation 2e9ff464-e32d-40c1-abca-52cac495f2b8 · outbound

This paper cites an unresolved cited work.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-03T12:00:57.292347Z digest=sha256:23266f8f21903f874ae2958c3a4350c5115136c0f3e5c426562abcd9d11c783b

Observation 3b1ee6d2-3d86-4470-8032-10b3e767f42c · outbound

This paper cites Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Reference 5

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source=pdf_text observed=2026-08-03T12:00:58.068320Z digest=sha256:ce57bb11c1300a3b06ba76e4e5beed83eb4d97e0523d49563ac2479e9ea5a3c1

Observation af1d5073-10d3-43ff-aa6d-8d1ccf796b6d · outbound

This paper cites • In our experiments, FastWhisper achieved lower infer- ence latency than the original Whisper model while ensuring robust ASR performance across evaluation datasets.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition • In our experiments, FastWhisper achieved lower infer- ence latency than the original Whisper model while ensuring robust ASR performance across evaluation datasets

Reference 6

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Observation 871f0c08-5ac4-4a6d-8f7c-b2c7b3e0e2b0 · outbound

This paper cites The use of ASKD and the Whisper encoder for training resulted in a 0.97% lower WER score compared to the teacher model, Whisper, despite the smaller dataset and fewer parameters.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition The use of ASKD and the Whisper encoder for training resulted in a 0.97% lower WER score compared to the teacher model, Whisper, despite the smaller dataset and fewer parameters

Reference 7

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Observation 51a66e0e-b52b-4a4d-b46a-e874da00ab54 · outbound

This paper cites Quantifying Bias in Automatic Speech Recognition.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Quantifying Bias in Automatic Speech Recognition

Reference 8

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Observation a2cf057d-2b0e-46d7-9970-beb852ed85e6 · outbound

This paper cites Far-field au- tomatic speech recognition,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Far-field au- tomatic speech recognition,

Reference 9

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Observation 950376e9-ed2e-4d29-aa43-94983fb58b53 · outbound

This paper cites Almost unsupervised text to speech and automatic spee ch recognition,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Almost unsupervised text to speech and automatic spee ch recognition,

Reference 10

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Observation bc977ebe-56bd-4240-a86f-64c23cae287b · outbound

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

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition wav2vec 2.0: A framework for self-supervised learni ng of speech representations,

Reference 11

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Observation 10fea597-1014-44f4-b2f1-3c105dac4fb0 · outbound

This paper cites Robust speech recognit ion via large-scale weak supervision,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Robust speech recognit ion via large-scale weak supervision,

Reference 12

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Observation 4f8b9de0-01d2-4dca-ad2f-40700603175a · outbound

This paper cites Beyond neural scaling laws: beating power l aw scaling via data pruning,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Beyond neural scaling laws: beating power l aw scaling via data pruning,

Reference 13

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Observation 7ea56402-9a5a-4bc9-afed-4fad49c86fc8 · outbound

This paper cites A better and faster end-to-end mo del for streaming asr,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition A better and faster end-to-end mo del for streaming asr,

Reference 14

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Observation 51794e45-7b4c-4bcc-b1e7-5d53f102cbec · outbound

This paper cites ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning

Reference 15

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Observation 966d4251-6042-48b4-8ff5-bb0441201026 · outbound

This paper cites Iterative Compression of End-to-End ASR Model using AutoML.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Iterative Compression of End-to-End ASR Model using AutoML

Reference 16

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Observation a6e9eed2-4164-4688-94cc-b0d95806c02c · outbound

This paper cites Multi-stage progressive compression o f con- former transducer for on-device speech recognition.,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Multi-stage progressive compression o f con- former transducer for on-device speech recognition.,

Reference 17

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Observation 0ffd4e67-5689-4d37-ac33-149271757589 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Distilling the Knowledge in a Neural Network

Reference 18

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Observation 8d24a199-c8fb-423f-bd53-4e2cf8d05b4a · outbound

This paper cites Knowledge distillation: A survey,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Knowledge distillation: A survey,

Reference 19

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Observation a36d44dc-3fa4-4602-80cf-b50ac136407c · outbound

This paper cites Distil hubert: Speech representation learning by layer-wise distillatio n of hidden- unit bert,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Distil hubert: Speech representation learning by layer-wise distillatio n of hidden- unit bert,

Reference 20

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Observation f5b8dcf7-51c6-401a-af52-af0466e4b2be · outbound

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

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 21

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Observation d229d629-353b-42a9-9534-3b6858c8877e · outbound

This paper cites On informatio n and sufficiency,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition On informatio n and sufficiency,

Reference 22

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Observation 3bb91cdc-7a55-46ae-b9da-29129d4833e3 · outbound

This paper cites FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning

Reference 23

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Observation cf9bc363-4f75-4f92-a9b2-9afd2b808b53 · outbound

This paper cites Masked token similarity transfer for compressing transfo rmer- based asr models,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Masked token similarity transfer for compressing transfo rmer- based asr models,

Reference 24

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Observation 708bac43-09ce-4dd7-ba98-6f8c88682d66 · outbound

This paper cites Does knowledge distillation re ally work?,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Does knowledge distillation re ally work?,

Reference 25

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Observation 147ef1ea-f90e-4e0b-9c7b-d4f5c829d982 · outbound

This paper cites EA-KD: Entropy-based Adaptive Knowledge Distillation.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition EA-KD: Entropy-based Adaptive Knowledge Distillation

Reference 26

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Observation 808a03a4-c75a-459a-a38c-b98a2aed7b5a · outbound

This paper cites AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting

Reference 27

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Observation 2fea69e3-ff2c-48d7-8f5a-7cc83ee5a6c7 · outbound

This paper cites Self-knowledge distillation with progressive refi nement of targets,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Self-knowledge distillation with progressive refi nement of targets,

Reference 28

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Observation b39c9108-1cc3-4e77-a9fb-df2a3a8e4c83 · outbound

This paper cites A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks

Reference 29

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Observation b6a9947c-2c07-4214-931a-7c67c0d4b0f3 · outbound

This paper cites Librispeech: an asr corpus based on public domain a udio books,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Librispeech: an asr corpus based on public domain a udio books,

Reference 30

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Observation 71ccd06c-13aa-493a-9deb-048099fd620b · outbound

This paper cites Ted-lium 3: Twice as much data and corpus repartition for experiments on speaker adap tation,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Ted-lium 3: Twice as much data and corpus repartition for experiments on speaker adap tation,

Reference 31

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Observation b377352d-ddd0-45ee-970a-ace2feecae05 · outbound

This paper cites The lj speech dataset,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition The lj speech dataset,

Reference 32

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source=pdf_text observed=2026-08-03T12:01:00.617701Z digest=sha256:27f9a19182b3d7f9c4cddf9e9e7c2b985ab610e68b602b50a530fe00d0d9df98

Observation b2ab651f-c346-4439-a1a5-af915a21c347 · outbound

This paper cites Earnings-22: A Practical Benchmark for Accents in the Wild.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Earnings-22: A Practical Benchmark for Accents in the Wild

Reference 33

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Observation c07adfc1-48c4-4fc8-b406-c386f1f1b3e6 · outbound

This paper cites Unleashing the killer corpus: experie nces in creating the multi-everything ami meeting corpus,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Unleashing the killer corpus: experie nces in creating the multi-everything ami meeting corpus,

Reference 34

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Observation 67ef9509-bed9-4fba-a2c6-3335ddaeeb53 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 35

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no resolver link, observed 2026-08-03T12:01:01.032776Z

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source=pdf_text observed=2026-08-03T12:01:01.032776Z digest=sha256:2ae7b3db85f2fe40c0bae120e461f52a55ff867ff1ab636c3b6e0763472ee485

Observation 65182b4b-4978-45c5-8537-f720ff8a725c · outbound

This paper cites V oxpopuli: A large-scale multilingual spe ech corpus for representation learning, semi-supervised learning and in- terpretation,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition V oxpopuli: A large-scale multilingual spe ech corpus for representation learning, semi-supervised learning and in- terpretation,

Reference 36

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Observation ce3cfbe7-0fe9-4c5b-93c8-9beac092a11f · outbound

This paper cites GLU Variants Improve Transformer.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition GLU Variants Improve Transformer

Reference 37

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no resolver link, observed 2026-08-03T12:01:01.242044Z

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source=pdf_text observed=2026-08-03T12:01:01.242044Z digest=sha256:740bd9c6b273017c023fbc18b135dbcf57024b16674bcadbc93276d01af623ad

Observation 0bbdd8a1-6e78-492f-8b5a-fc5aee908dc4 · outbound

This paper cites Nvidia nemo canary model pushes the frontier of speech recognition and translation,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Nvidia nemo canary model pushes the frontier of speech recognition and translation,

Reference 38

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source=pdf_text observed=2026-08-03T12:01:01.315029Z digest=sha256:c5b7322de4ef12f1c9d5f1e642fd0a1763dafeb8e8dc32219692bbeb5e753627

Observation 4416bbdf-bc15-4697-a8de-ba3f1ed5df83 · outbound

This paper cites C risper- whisper: Accurate timestamps on verbatim speech transcrip tions,.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition C risper- whisper: Accurate timestamps on verbatim speech transcrip tions,

Reference 39

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source=pdf_text observed=2026-08-03T12:01:01.414371Z digest=sha256:18c16cfeedd2bd7e6017e6d29930d5b3ba80ad39ea6cfb1d9acbf56429167fe2

Pith citing papers

Observation 06bf35fe-10ce-492b-8187-cccd90efe84b · inbound

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition cites this paper.

ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition

Reference 2

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source=pdf_text observed=2026-08-03T12:00:57.108795Z digest=sha256:9a5450b57db35085d8b3257713a075ca455fbda35cbe1ff705678152ef3b95e4