Paper Citation Record · LEDGER

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.05837.

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

pith.paper-citation-record.v1
2502.05837 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:49:20.124168Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

verified exact2
verified fuzzy17
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa80bbbe-00dc-4db5-90a7-452887523ed5 · outbound

This paper cites Wav2Vec 2.0: A framework for self- supervised learning of speech representations,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Wav2Vec 2.0: A framework for self- supervised learning of speech representations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.450704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8959c072-4045-4e2d-aafb-a71433250fa7 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models HuBERT: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.440376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c5c7bd1-84fa-4f6d-b34e-a4611a78b485 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models WavLM: Large-scale self-supervised pre- training for full stack speech processing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.430276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7ade204-9fce-490a-b85f-85b4c209f8cd · outbound

This paper cites Data2Vec: A general framework for self- supervised learning in speech, vision and language,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Data2Vec: A general framework for self- supervised learning in speech, vision and language,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.419705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c55c28f-ce28-4bbf-93d7-da31612ccb5d · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models DistilHuBERT: Speech representation learning by layer-wise distillation of hidden-unit BERT,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.409655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a1fbe231-f647-447f-a0ce-6c0f9eaa4403 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Distilling the Knowledge in a Neural Network

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.043583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ff72e8-8318-4d5c-a8e5-853e4c65dd04 · outbound

This paper cites On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:49:20.264126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d652d0ed-beb4-4c90-9946-441530e39e25 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models FitHuBERT: Going thinner and deeper for knowledge distillation of speech self-supervised models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.400359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d04510a7-9017-40bf-ac00-004ceea154c1 · outbound

This paper cites Multi-stage progressive compression of conformer transducer for on-device speech recognition.,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Multi-stage progressive compression of conformer transducer for on-device speech recognition.,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.390810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98387921-dfc8-4f5b-9c4f-a28fd10d8c91 · outbound

This paper cites Structured Pruning of Large Language Models.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Structured Pruning of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.057508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa692a9-5315-4358-afea-39d45fb6e2e1 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Learning Sparse Neural Networks through $L_0$ Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.061102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eee6c9d-7237-4aa0-a4ac-69c1facd3cd4 · outbound

This paper cites PARP: Prune, Ajust and Re-Prune for self- supervised speech recognition,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models PARP: Prune, Ajust and Re-Prune for self- supervised speech recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.380487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7bd7e06b-c6aa-46d0-bb3c-5161e12ece1c · outbound

This paper cites Unstructured Pruning and Low Rank Factorisation of self-supervised pre-trained speech models,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Unstructured Pruning and Low Rank Factorisation of self-supervised pre-trained speech models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.369680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18b27de1-b666-4bfc-9a39-efa3349806c9 · outbound

This paper cites DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.070978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6217aa36-e406-478b-91eb-be941304d6c4 · outbound

This paper cites Deep versus Wide: An analysis of student architectures for task-agnostic knowledge distil- lation of self-supervised speech models,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Deep versus Wide: An analysis of student architectures for task-agnostic knowledge distil- lation of self-supervised speech models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.358606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02f74818-fb6d-4c7e-b14a-a15d7ed7e395 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.077724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c9305e-0836-4499-8879-1f8d6e2c0318 · outbound

This paper cites LightHuBERT: Lightweight and config- urable speech representation learning with once-for-all hidden-unit BERT,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models LightHuBERT: Lightweight and config- urable speech representation learning with once-for-all hidden-unit BERT,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.348035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1caea9bd-10e5-4a03-b927-ba1166754f8d · outbound

This paper cites DeepTwist: Learning Model Compression via Occasional Weight Distortion.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models DeepTwist: Learning Model Compression via Occasional Weight Distortion

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:49:20.211872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95ab73f4-2c19-47c8-b852-3eb2037cf5c0 · outbound

This paper cites Cascaded encoders for unifying streaming and non-streaming ASR,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Cascaded encoders for unifying streaming and non-streaming ASR,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.338030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f71628b4-fe20-44b5-bcbf-6fa3d29a08e1 · outbound

This paper cites Attention is all you need,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Attention is all you need,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.327203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2812bdb9-7c65-4922-b502-a03c0395e5fd · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.093965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea9dcf0-e6d7-4d3b-bc65-6904fb624d14 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Self-supervised learning with random- projection quantizer for speech recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.317009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69d4928a-e2be-4dda-b9c6-f9d6e443e208 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models W2v-BERT: Combining contrastive learn- ing and masked language modeling for self-supervised speech pre-training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.306332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation deab2faf-83ff-4e99-914c-650bef3dfbdc · outbound

This paper cites Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.103639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e50fc6-7dee-4fbe-a72f-e67de5025585 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Sequence Transduction with Recurrent Neural Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.107031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c466509-5f86-4db4-80f3-df8a3dd8b06d · outbound

This paper cites VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.110515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039c12cd-7bc5-4e1f-8277-9b37faf27336 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.114058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb657d9a-3484-4c2a-aaeb-c9b978437ed2 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Neural Machine Translation of Rare Words with Subword Units

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.117573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ffa7872-b14c-48f3-becf-4ad0c4c02456 · outbound

This paper cites Comparative study of different tokenization strategies for streaming end-to-end ASR,.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Comparative study of different tokenization strategies for streaming end-to-end ASR,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.295839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 993f89c4-3894-44ac-8b2a-8fc8faed0a02 · outbound

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

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Efficient knowledge distillation for rnn-transducer models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:49:20.285524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.