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Paper Citation Record · LEDGER

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2501.10052.

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

pith.paper-citation-record.v1
2501.10052 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:28.710511Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:28.601332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:27:28.897290Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact4
  • verified fuzzy15
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b13ebdd3-c0c1-4ba7-a23b-6acf2b964014 · outbound

This paper cites Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:28.901875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.601332Z digest=sha256:5b4183496e0e60319b8d9ace496e219f3f41498d144e19eab02eb4a83429e652

Observation ca8843c7-7f51-40af-9803-6a3af96c9db3 · outbound

This paper cites Speech enhancement.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Speech enhancement

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.073866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.605745Z digest=sha256:98d3b0922de3bb923f9814914817572c04d58aa7d1a0e34012e5914dcb07ec30

Observation e48c506f-44ee-4975-97c3-ad301ac76b57 · outbound

This paper cites an unresolved cited work.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:27:29.064725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.609611Z digest=sha256:e3b728b2fe95952e2da8bf44e70afc53ad88c530ed36b88df105b5a8ccf4e12b

Observation eb14b55a-83d5-4f19-9491-8ea19c8d2fd2 · outbound

This paper cites The proposed cLDM operates in a low- dimensional latent space, reducing complexity and improving the efficiency of the generation process.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning The proposed cLDM operates in a low- dimensional latent space, reducing complexity and improving the efficiency of the generation process

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.055506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.613972Z digest=sha256:52acd8498d78c3e2631c51ea798eb267b62a0a2e8872e0f0c9f1836fac94d888

Observation 159d903c-95c4-4598-a793-6a885b965d06 · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.045240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.617561Z digest=sha256:1fc5067dca926ef71827e37a564255d1543c37dd34d190d7d21360e7c9fae4bb

Observation d465f063-7b35-4776-bd64-2fc3b70f4d4a · outbound

This paper cites MetricGAN+: An improved version of Metric- GAN for speech enhancement,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning MetricGAN+: An improved version of Metric- GAN for speech enhancement,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.034109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.621018Z digest=sha256:68070743cd86219a5cdf6c31177caf43cf1685cb36f3c95927040132b485ad2d

Observation 5a841e5c-6bce-4f2e-acdf-9b0ba13aeda1 · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Conditional diffusion probabilistic model for speech enhancement,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.023072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.624901Z digest=sha256:7e7c8d047b5f225f8fb7f2fd4585ccc3507c0c66cd86bc7d41e88652f8a23530

Observation b7d7df74-1b09-4746-97d4-bdf84ae30850 · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Speech enhancement and dereverberation with diffusion-based generative models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.011585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.628080Z digest=sha256:ff232f1ef0693b628de3b1060e35b776cb09d3d99cf65c4a98657534da3b6316

Observation e140df17-9384-4f76-8991-15e8e8c5718f · outbound

This paper cites StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:28.885795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.631216Z digest=sha256:34c9b3e49215f47754aeb7ce8412b50999ff9ff5afe920dafc6dbf1fa29c46d5

Observation e951f965-06d3-4ef5-9185-59211b86837b · outbound

This paper cites Deep unsupervised learning using nonequilibrium ther- modynamics,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Deep unsupervised learning using nonequilibrium ther- modynamics,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:29.000300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.634403Z digest=sha256:c4a162ef9e61b1959e8802b7138ae3e25920c47a58f444d974a41ef691696460

Observation b0e755ff-166a-41b1-a3dc-1bb15f5874b4 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Denoising Diffusion Probabilistic Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.637352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.637352Z digest=sha256:0b6bcaa43ab3ca8403b6a85963234a0e5b52718b4a806ae658d067370cd2ca1f

Observation 592b80e1-93ff-43d0-8cae-1663affeb5f5 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Improved Denoising Diffusion Probabilistic Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.641349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.641349Z digest=sha256:9dc792d51bf5a6e9da2ba59d72c0d2a9919e77c9667aee6a268bfc0f9888203b

Observation 0fc725c5-38a6-4b94-84e4-dd1aff15bfa4 · outbound

This paper cites NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:28.851305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.645366Z digest=sha256:52fb7cc01fac5c38f4f091894a035edd5eccaca47120681d3d43354355d92899

Observation f7fd9c9e-ddcb-412e-9eb6-abdadce3f2f2 · outbound

This paper cites Noise-aware Speech Enhancement using Diffusion Probabilistic Model.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Noise-aware Speech Enhancement using Diffusion Probabilistic Model

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:28.834211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.649535Z digest=sha256:de2a24982e9d398d91b5fe73db9cdf44155d20df7edfb3353d2cf39f3350fef5

Observation a9425e32-53de-4c1e-9e08-240052c58b3e · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning High-Resolution Image Synthesis with Latent Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.653367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.653367Z digest=sha256:4ac82409705c836bb7de187827f99e4990acd7d160d57b41b160e0b564d021ab

Observation 9383d0fc-69b1-42b5-86e8-72c8c4878c63 · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.657209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.657209Z digest=sha256:507433627659d1b4dd02d27d1c487a2da1258dd9651f91c6ce4e08a278b49b32

Observation e6d124be-6e81-4f91-9800-561a65d58a6a · outbound

This paper cites AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.661192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.661192Z digest=sha256:eb31ddd8959d4f8c4f8a0ac300a256c56781cb86eb63771b1ffa52b3eb6070ef

Observation 8fa9f8eb-bbb2-426d-9494-423e18490162 · outbound

This paper cites Exploring the lim- its of transfer learning with a unified text-to-text transformer,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Exploring the lim- its of transfer learning with a unified text-to-text transformer,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.989233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.665388Z digest=sha256:1babd7131d6244515f0379f97a950f2b00ad1ad6295334614d2b3d0c538af0d2

Observation d2940fda-d41e-4279-a09e-54c9f1ecb4ec · outbound

This paper cites Auto-Encoding Variational Bayes.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Auto-Encoding Variational Bayes

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.669203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.669203Z digest=sha256:427003c94371dd16051742ec780c8a90ea1631cd0c1b143d6c21aea048f4ede4

Observation 270f1d54-9036-48d5-8cf4-f9dddb6bed14 · outbound

This paper cites BigVGAN: A Universal Neural Vocoder with Large-Scale Training.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.672962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.672962Z digest=sha256:0270e9bbf77fbe1595aa5edf978016997e745a19b166aef65f4d10054ac8e2b1

Observation b2ae9a98-f5cd-45c7-8083-fe0c6e0edab3 · outbound

This paper cites Lib- rispeech: an ASR corpus based on public domain audio books,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Lib- rispeech: an ASR corpus based on public domain audio books,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.978384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.677160Z digest=sha256:c269694838994954189f2dcd2daee8935e2679c11353c77c1f472e44d4ab9921

Observation 54b19a5a-6c0c-4d7e-b1fb-523ec6c7983d · outbound

This paper cites Audio Set: an ontology and human-labeled dataset for audio events,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Audio Set: an ontology and human-labeled dataset for audio events,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.967220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.681017Z digest=sha256:602c7544cdbb3e85baf92dda53bc4c78ae4dd22bd9fe7801385fd927e1a0e4e5

Observation ff65b77b-b5f3-4e7d-a652-70622659bca1 · outbound

This paper cites Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.955846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.684980Z digest=sha256:0df1393a85612d377ef3d17f68e1edf5b175c8037b32058a3749d24f74d38d78

Observation 741055dd-c789-409c-89b1-9a61f927c31f · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.688385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.688385Z digest=sha256:1c7c3bceb9e6e535da91d38f7ef9edbb2f8249c0abc105656304c050a6be5398

Observation 18468852-4dad-4e48-99ae-16cad12532eb · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Perceptual evaluation of speech quality (PESQ) - a new method for speech quality assessment of telephone networks and codecs,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.945253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.691664Z digest=sha256:1731b4b94f91b181f641f99bbc3c5df6c8da496b43266323feae713019741499

Observation f91e6cdc-ea3e-48c1-9ac8-9129e34c8c5e · outbound

This paper cites An algorithm for predicting the in- telligibility of speech masked by modulated noise maskers,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning An algorithm for predicting the in- telligibility of speech masked by modulated noise maskers,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.934185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.694554Z digest=sha256:d2897c4d41d6cc812cbb31eed100f36d4952b99392047d593443f57cf51d0090

Observation d02dbe5d-f8c9-45f1-884c-7dbaeaea7807 · outbound

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

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning SDR – half-baked or well done?,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.923813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.697409Z digest=sha256:f0f81c6f8b665f6847ffdd7c26492b0706259878d846d2059868f1818cec23df

Observation 86dd4d91-5550-432e-9631-654f60dae163 · outbound

This paper cites HIFI++: A unified framework for bandwidth extension and speech en- hancement,.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning HIFI++: A unified framework for bandwidth extension and speech en- hancement,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:28.913393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.700844Z digest=sha256:b28a24e357244777a3e95db63a7a4517bea0dcf1977258902da4960a54f4b2a1

Observation b93d69cb-e1e6-469e-af32-b91c57a8010f · outbound

This paper cites DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.703883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.703883Z digest=sha256:5221b6020d386ca73b403edd2b8480d1db0a521b37dd84f4997f515c404d564e

Observation 2d4cb8e7-ccf8-4152-aca4-f65ac25662b3 · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning BEATs: Audio Pre-Training with Acoustic Tokenizers

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.706957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.706957Z digest=sha256:0d843cec7162f4d6ad33b5f4967eab7e7bc775691afc3747006512f2aa10472e

Observation a1693396-e15d-44c6-a96e-876ab5edb202 · outbound

This paper cites Decoupled Weight Decay Regularization.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Decoupled Weight Decay Regularization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:28.710511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:28.710511Z digest=sha256:68ac88754cd990d38a6e73c0d3b708b5ba277777dec7a44db940e9a239bb9e78

Pith citing papers

Observation b13ebdd3-c0c1-4ba7-a23b-6acf2b964014 · inbound

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning cites this paper.

Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:28.901875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:27:28.601332Z digest=sha256:5b4183496e0e60319b8d9ace496e219f3f41498d144e19eab02eb4a83429e652