Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:01:01.414371Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:01:01.414371Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:00:57.108795Z
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 49609f18-4257-42b3-b0aa-914a023085e7 · outbound
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
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
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
ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Unresolved cited work
Reference 4
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Observation 3b1ee6d2-3d86-4470-8032-10b3e767f42c · outbound
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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Observation af1d5073-10d3-43ff-aa6d-8d1ccf796b6d · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition The lj speech dataset,
Reference 32
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Observation b2ab651f-c346-4439-a1a5-af915a21c347 · outbound
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
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
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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Observation 65182b4b-4978-45c5-8537-f720ff8a725c · outbound
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
ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition GLU Variants Improve Transformer
Reference 37
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Observation 0bbdd8a1-6e78-492f-8b5a-fc5aee908dc4 · outbound
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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Observation 4416bbdf-bc15-4697-a8de-ba3f1ed5df83 · outbound
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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Observation 06bf35fe-10ce-492b-8187-cccd90efe84b · inbound
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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