Paper Citation Record · LEDGER

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2502.04711.

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

pith.paper-citation-record.v1
2502.04711 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:52:08.333915Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:42:40.796047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:42:41.324523Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy16
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35ca9150-b361-439e-85f9-e6b22db19b03 · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.207106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a2d474-4dee-45c6-be2f-e73fee1418cd · outbound

This paper cites A convolutional recurrent neural network for real- time speech enhancement.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement A convolutional recurrent neural network for real- time speech enhancement

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.846024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 204e96d7-555d-4155-913a-aac8a149ba89 · outbound

This paper cites Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.216755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6391cc-7a61-4c57-8b06-6014d8b2bf77 · outbound

This paper cites Learning efficient convolutional networks through network slimming,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Learning efficient convolutional networks through network slimming,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.831464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 725b7262-4760-4516-9996-40e14da7ada4 · outbound

This paper cites Learning both weights and con- nections for efficient neural network,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Learning both weights and con- nections for efficient neural network,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.225679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf7531ef-959c-4e2b-b54c-10eb15e47139 · outbound

This paper cites Learning to prune deep neural networks via layer-wise optimal brain surgeon,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Learning to prune deep neural networks via layer-wise optimal brain surgeon,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.806951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0cfd0de-d2a0-41ac-80f0-de577a362ecc · outbound

This paper cites Autoprune: Automatic network pruning by regularizing auxiliary parameters,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Autoprune: Automatic network pruning by regularizing auxiliary parameters,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.791909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c5f9dd3-4a53-42b4-aa84-05be027726ab · outbound

This paper cites Scalable methods for 8-bit training of neural networks,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Scalable methods for 8-bit training of neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.773411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95192ffc-eeae-4b39-8552-064b437b1d6d · outbound

This paper cites Neural gradients are near-lognormal: improved quantized and sparse training.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Neural gradients are near-lognormal: improved quantized and sparse training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.243468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61b757f0-edbb-4a22-ab60-c945ff6b3175 · outbound

This paper cites Training deep neural networks with low precision multiplications.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Training deep neural networks with low precision multiplications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.247991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8726400a-e340-48d4-946d-3c18a08f35de · outbound

This paper cites A multilinear singular value decomposition,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement A multilinear singular value decomposition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.758436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 61170754-d5a4-4f34-a0b5-368dadcfaafb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Distilling the Knowledge in a Neural Network

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.256255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebaab81-b218-4430-bec9-766dd64737f1 · outbound

This paper cites Transferring knowledge to smaller network with class-distance loss,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Transferring knowledge to smaller network with class-distance loss,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.740943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e99080d3-f2f8-4546-9ebe-99cd84b92992 · outbound

This paper cites Adaptive Regularization of Labels.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Adaptive Regularization of Labels

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:52:08.483725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27ec0184-5da8-4d14-92d4-ee92c4a22964 · outbound

This paper cites Paraphrasing complex network: Net- work compression via factor transfer,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Paraphrasing complex network: Net- work compression via factor transfer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.724817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43d2d033-97ca-4796-aecd-fd01b86fa42e · outbound

This paper cites Differentiable feature aggregation search for knowledge distillation,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Differentiable feature aggregation search for knowledge distillation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.708801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4bd30b5-0935-4b78-9958-bbf35fd8b509 · outbound

This paper cites Knowledge transfer via distillation of activation boundaries formed by hidden neurons,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Knowledge transfer via distillation of activation boundaries formed by hidden neurons,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.275801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95d7e19-3863-44a5-ae8d-c559dd8a62e8 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.279782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8f42a1-4828-457f-a7e4-8bcd3cc6a016 · outbound

This paper cites A comprehensive overhaul of feature distillation,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement A comprehensive overhaul of feature distillation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.683461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03ce9ae3-0817-4e7c-b4d3-81ba0a1cdee2 · outbound

This paper cites A gift from knowledge distilla- tion: Fast optimization, network minimization and transfer learning,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement A gift from knowledge distilla- tion: Fast optimization, network minimization and transfer learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.667981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01d350ed-902e-47bd-a58c-f29cb7d3eff3 · outbound

This paper cites Correlation congruence for knowledge distillation,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Correlation congruence for knowledge distillation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.291938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f56fa42-fc5a-448e-9a40-2a6f82798387 · outbound

This paper cites Learning student networks via feature embedding,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Learning student networks via feature embedding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.640709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53b2dc5a-804a-4a23-be85-fb7717d35828 · outbound

This paper cites Sub-Band Knowledge Distillation Framework for Speech Enhancement.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Sub-Band Knowledge Distillation Framework for Speech Enhancement

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.299924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5228004f-ade1-4ce6-aec0-951f4a0f6649 · outbound

This paper cites Text-informed knowledge distillation for robust speech enhancement and recognition,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Text-informed knowledge distillation for robust speech enhancement and recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.625856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2617126b-5cb7-46f9-9a2c-7eaef29c2d56 · outbound

This paper cites Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.308389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e029b95-3220-45ed-9d6e-536ec611b3b8 · outbound

This paper cites Cross-layer distillation with semantic calibration,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Cross-layer distillation with semantic calibration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.611140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b746c75-935d-4f8e-8cdb-fdc9195ed1ad · outbound

This paper cites ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:52:08.415641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2005e287-1748-40d0-86fa-71a8d00280c7 · outbound

This paper cites The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.321242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a20d52-51a1-4641-b17b-67c7b473585e · outbound

This paper cites Investi- gating rnn-based speech enhancement methods for noise-robust text-to- speech.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Investi- gating rnn-based speech enhancement methods for noise-robust text-to- speech

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.596581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef914976-316a-4c69-b632-03f2a0e6e105 · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:52:08.581017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3f3fa94-1a78-4bdb-b2b2-27a93f3d0e50 · outbound

This paper cites Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation.

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T21:52:08.333915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cd887c74-cc1b-49fc-a444-f31d47fc49cc · inbound

SaD: A Scenario-Aware Discriminator for Speech Enhancement cites this paper.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:42:41.448488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.