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Paper Citation Record · LEDGER

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2606.22591.

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

pith.paper-citation-record.v1
2606.22591 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:32:41.384274Z

measured 42 of 42 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 2026-06-26T09:32:41.384274Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:49:44.175454Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6561322-1102-4acd-85f2-dcd9f621160e · outbound

This paper cites an unresolved cited work.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Unresolved cited work

Reference 1

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Observation ff37d845-5a3a-4df1-8b90-ea7d8b89a89d · outbound

This paper cites Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework

Reference 2

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local_arxiv, observed 2026-07-04T09:49:44.176770Z

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Observation 60522f98-5c34-4b37-9bf8-ffbbee273bd4 · outbound

This paper cites an unresolved cited work.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Unresolved cited work

Reference 3

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arxiv_id, observed 2026-07-04T09:49:44.182887Z

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

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Observation c21b3105-1ffe-43b7-8467-544999216dc1 · outbound

This paper cites Datasets and Setup Dataset.We first train and evaluate on the V oiceBank- DEMAND (VB-DEMAND) dataset [29], a widely used bench- mark for speech enhancement.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Datasets and Setup Dataset.We first train and evaluate on the V oiceBank- DEMAND (VB-DEMAND) dataset [29], a widely used bench- mark for speech enhancement

Reference 4

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Observation 293e0e17-a8ef-4bc1-8f43-c18ad1eff952 · outbound

This paper cites Both use a frozen wav2vec 2.0 base model [12] for feature extraction and a three-layer MLP as the FiLM genera- tor.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Both use a frozen wav2vec 2.0 base model [12] for feature extraction and a three-layer MLP as the FiLM genera- tor

Reference 5

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Observation 6b7b0173-1324-4152-8688-b0c8e7a74bad · outbound

This paper cites an unresolved cited work.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Unresolved cited work

Reference 6

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Observation 61825ec2-f10b-4ac9-bc6a-663ecc524299 · outbound

This paper cites They were not used for idea formulation, experimental design, or generating significant portions of the text from scratch.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework They were not used for idea formulation, experimental design, or generating significant portions of the text from scratch

Reference 7

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Observation daaaaf00-c9c7-42a1-af8d-78101039dd68 · outbound

This paper cites an unresolved cited work.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Unresolved cited work

Reference 8

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Observation 7b5f9a4c-c234-4dd0-9f33-025829f59427 · outbound

This paper cites On training targets for supervised speech separation,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework On training targets for supervised speech separation,

Reference 9

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:2d3bebe4120023e14d97b06399e17a070456498063dc196eada536ba91712782

Observation c947e21d-7ab8-43c5-b5ac-e59b561ef083 · outbound

This paper cites Complex ratio mask- ing for monaural speech separation,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Complex ratio mask- ing for monaural speech separation,

Reference 10

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:44b04474b5876b9749483b057fcd1934e1918ca6474632a683e41edd7b8a851a

Observation 8e7954ad-8482-4cd0-99d0-b2ec0efe8142 · outbound

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

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Conv-TasNet: Surpassing ideal time- frequency magnitude masking for speech separation,

Reference 11

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Observation 42515dea-012a-4c06-b436-e817b5fb8a73 · outbound

This paper cites Denoising diffusion probabilistic models,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Denoising diffusion probabilistic models,

Reference 12

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Observation 23c1e63a-2bcb-4d4e-a08b-1cca292f7e1e · outbound

This paper cites Conditional diffusion probabilistic model for speech enhancement,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Conditional diffusion probabilistic model for speech enhancement,

Reference 14

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Observation c616d746-48a6-4f1b-afe1-605ebe63c6c3 · outbound

This paper cites Speech enhancement with score-based generative models in the complex STFT do- main,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Speech enhancement with score-based generative models in the complex STFT do- main,

Reference 15

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Observation 3364e995-ae2e-49c3-9fb5-3a7d1bfd71fc · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based generative models,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Speech enhancement and dereverberation with diffusion-based generative models,

Reference 16

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Observation 39cb466a-4861-4846-85c3-0fe409b74a37 · outbound

This paper cites Universal Speech Enhancement with Score-based Diffusion.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Universal Speech Enhancement with Score-based Diffusion

Reference 17

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verified exact
arxiv_id, observed 2026-07-04T09:49:44.185881Z

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.

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Observation a833ccf6-b0c8-47d5-96d7-d03f5cb2fa87 · outbound

This paper cites UNI- VERSE++: Trainable multi-codec neural speech enhancement with multi-stage discriminators,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework UNI- VERSE++: Trainable multi-codec neural speech enhancement with multi-stage discriminators,

Reference 18

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Observation 68deeb01-1b7e-4e7b-ab89-f0708f152dc5 · outbound

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

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 19

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Observation 277bbb3b-e78b-4e6e-889f-a9eae0e9ca6f · outbound

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

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 20

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Observation 1cf7e95a-ab96-4aad-9378-3eea8b761b3c · outbound

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

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework WavLM: Large-scale self- supervised pre-training for full stack speech processing,

Reference 21

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Observation 8c23938c-81d3-44a5-8f73-ddfda8972444 · outbound

This paper cites Investi- gating self-supervised learning for speech enhancement and sepa- ration,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Investi- gating self-supervised learning for speech enhancement and sepa- ration,

Reference 22

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:5b71b75f6f4dbca22f1530636083b731f849537b87323d87115b6c42b13f6f87

Observation 7dcfcac4-c9a9-4b40-857f-383eb83a1590 · outbound

This paper cites Boosting Self-Supervised Embeddings for Speech Enhancement.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Boosting Self-Supervised Embeddings for Speech Enhancement

Reference 23

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arxiv_id, observed 2026-07-04T09:49:44.189138Z

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.

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Observation d6515d84-1ad0-443b-a80a-cebde3ad6083 · outbound

This paper cites Self-supervised speech rep- resentations for speech enhancement,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Self-supervised speech rep- resentations for speech enhancement,

Reference 24

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Observation 1ec36284-54e2-4054-8dae-9c2765178652 · outbound

This paper cites FINALLY: Fast and universal speech enhancement with studio-like quality,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework FINALLY: Fast and universal speech enhancement with studio-like quality,

Reference 25

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Observation ca1782f5-a37d-483b-a030-c2e2159cf307 · outbound

This paper cites Discrete token based speech enhancement,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Discrete token based speech enhancement,

Reference 26

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Observation 2a763db0-2b2e-4b60-8073-c9dfb7b5259f · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework FiLM: Visual reasoning with a general conditioning layer,

Reference 27

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Observation ee75c8f6-249c-4d0b-ad68-65d082bad592 · outbound

This paper cites Diffusion models beat GANs on im- age synthesis,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Diffusion models beat GANs on im- age synthesis,

Reference 28

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Observation 1e683a7e-506d-4370-9c3b-863082fa8690 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Classifier-Free Diffusion Guidance

Reference 29

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local_arxiv, observed 2026-07-04T09:49:44.179276Z

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.

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Observation c126116e-d8d4-4742-b0a6-ce20bb7d6e72 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework High-resolution image synthesis with latent diffusion models,

Reference 30

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Observation 14b56271-8c34-40ab-bbbb-2ea9673ed27b · outbound

This paper cites Scalable diffusion models with transform- ers,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Scalable diffusion models with transform- ers,

Reference 31

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Observation 0b8c8281-5e1f-4995-a34e-4d9a830757c2 · outbound

This paper cites StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,

Reference 32

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Observation 8a43440d-d45d-40b3-a543-b27067bb6d44 · outbound

This paper cites GAN-based speech enhancement for low SNR using latent feature conditioning,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework GAN-based speech enhancement for low SNR using latent feature conditioning,

Reference 33

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Observation f78282db-cc08-4e4a-bada-1f835e4ae2d2 · outbound

This paper cites Score-based generative modeling through stochas- tic differential equations,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Score-based generative modeling through stochas- tic differential equations,

Reference 34

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Observation d73b0aee-943f-4fd3-ac9f-f5a26cfc5762 · outbound

This paper cites Robust wav2vec 2.0: Analyzing domain shift in self- supervised pre-training,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Robust wav2vec 2.0: Analyzing domain shift in self- supervised pre-training,

Reference 35

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Observation 2a44f992-87a3-453e-8b43-9a254f2e5e21 · outbound

This paper cites In- vestigating RNN-based speech enhancement methods for noise- robust text-to-speech,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework In- vestigating RNN-based speech enhancement methods for noise- robust text-to-speech,

Reference 36

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Observation a301213b-e765-411e-97bd-fe0425521964 · outbound

This paper cites The voice bank corpus: De- sign, collection and data analysis of a large regional accent speech database,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework The voice bank corpus: De- sign, collection and data analysis of a large regional accent speech database,

Reference 37

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unresolved
no resolver link, observed 2026-06-26T09:32:41.384274Z

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:27673285331476cb4e084327e50a912d2e3526dbb7eee831c7e48efa2557e3ce

Observation 40d1468f-12a0-499f-90b8-1b61ce8c4e97 · outbound

This paper cites The diverse environments multi-channel acoustic noise database (DEMAND): A database of multichannel environmental noise recordings,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework The diverse environments multi-channel acoustic noise database (DEMAND): A database of multichannel environmental noise recordings,

Reference 38

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unresolved
no resolver link, observed 2026-06-26T09:32:41.384274Z

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Observation 88c8279d-b984-46cc-b4d0-52b5901828e6 · outbound

This paper cites Per- ceptual evaluation of speech quality (PESQ)—a new method for speech quality assessment of telephone networks and codecs,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Per- ceptual evaluation of speech quality (PESQ)—a new method for speech quality assessment of telephone networks and codecs,

Reference 39

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unresolved
no resolver link, observed 2026-06-26T09:32:41.384274Z

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:c7af75b6cee60fb2f6083b0db956d9c8206b3be5e36c97bc509e53ddcb9dad97

Observation eee72ebe-f101-49a8-bff2-cf8259d1127c · outbound

This paper cites An al- gorithm for intelligibility prediction of time-frequency weighted noisy speech,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework An al- gorithm for intelligibility prediction of time-frequency weighted noisy speech,

Reference 40

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unresolved
no resolver link, observed 2026-06-26T09:32:41.384274Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:dbb93644828570caf488a7bda8280f9232b033ccf69ec6dc85216dc9cb863842

Observation bf24c425-58e3-4cb8-8196-91fac61e02fa · outbound

This paper cites SDR— half-baked or well done?.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework SDR— half-baked or well done?

Reference 41

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:a3d5f582383e4458aa961749edad1e0ab320db52ea1657596d7f637fbdfa9a54

Observation 5d52a20b-1ec6-4c67-a38c-b54239751626 · outbound

This paper cites DNSMOS: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework DNSMOS: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 42

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source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:5906dafa0ad7f6b1c73b4006f0548110511144cfba1ca9b00b8caf5b25d0517e

Pith citing papers

Observation ff37d845-5a3a-4df1-8b90-ea7d8b89a89d · inbound

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework cites this paper.

Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework

Reference 2

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metadata mismatch
local_arxiv, observed 2026-07-04T09:49:44.176770Z

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

source=pdf_text observed=2026-06-26T09:32:41.384274Z digest=sha256:d76c77f772d58cd0fd573046ea7c06219d660b8c698ceca87dbc36f33624806e