Paper Citation Record · LEDGER

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.01460.

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

pith.paper-citation-record.v1
2506.01460 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:00.020691Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:46:58.596065Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:47:00.128594Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy34
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbb5e1f3-1e5b-4f74-8020-f9f0fe28b62b · outbound

This paper cites an unresolved cited work.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:48:04.368799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8cb381fc-ba8e-4b88-b019-e7d191b7de05 · outbound

This paper cites Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:47:00.164408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9004a270-fadb-422e-9392-0b353bfa2e15 · outbound

This paper cites Adversarial Schr ¨odinger Bridge We combine the Schr¨odinger Bridge (SB) for speech enhance- ment with GANs.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Adversarial Schr ¨odinger Bridge We combine the Schr¨odinger Bridge (SB) for speech enhance- ment with GANs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.341903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f5385f1-271f-418a-b274-82cba772a063 · outbound

This paper cites Experimental Setup We trained our model with a batch size of 8, and the optimizer was AdamW [26] with a learning rate of10 −4.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Experimental Setup We trained our model with a batch size of 8, and the optimizer was AdamW [26] with a learning rate of10 −4

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:48:04.319178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6aaedd0-044f-45ee-af92-39ee7e41e804 · outbound

This paper cites However, both approaches are still constrained by the iterative reverse process.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement However, both approaches are still constrained by the iterative reverse process

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.274969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc448593-87b9-4c9d-aef9-c576294167f1 · outbound

This paper cites RS-2024-00461617, 50%), and the Institute of Information & Communications Technology Planning & Eval- uation (IITP) grant funded by the Korea government (MSIT) [No.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement RS-2024-00461617, 50%), and the Institute of Information & Communications Technology Planning & Eval- uation (IITP) grant funded by the Korea government (MSIT) [No

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.252964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a5724ea-95cc-4938-99ba-d6a511459f3d · outbound

This paper cites Conditional diffusion probabilistic model for speech en- hancement,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Conditional diffusion probabilistic model for speech en- hancement,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.195827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1002c590-8f80-44d2-b255-c32033e1ed9a · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Universal Speech Enhancement with Score-based Diffusion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:58.664351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4797f00d-f8f7-433f-bb3a-db21f7870c27 · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Speech enhancement and dereverberation with diffusion-based generative models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.083276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77a108d9-f45d-42ca-92e4-0c0d55850bc5 · outbound

This paper cites Schr ¨odinger bridge for generative speech enhancement,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Schr ¨odinger bridge for generative speech enhancement,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.006098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f17441e8-a376-4470-98e2-1a1370250883 · outbound

This paper cites Diffusion-based Speech Enhancement with Schr\"odinger Bridge and Symmetric Noise Schedule.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Diffusion-based Speech Enhancement with Schr\"odinger Bridge and Symmetric Noise Schedule

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:58.751093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e64879a0-520a-4c69-8050-49276c58a477 · outbound

This paper cites Investigating training objectives for generative speech enhancement,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Investigating training objectives for generative speech enhancement,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.919456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1e81943-cd94-42de-95ac-5fcfe95f54d7 · outbound

This paper cites Gan-based speech enhancement for low snr using latent feature conditioning,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Gan-based speech enhancement for low snr using latent feature conditioning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.859903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8c56725-92a9-4f9c-be1d-809f3eb50b0f · outbound

This paper cites On the behavior of intrusive and non-intrusive speech enhancement metrics in predictive and generative settings,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement On the behavior of intrusive and non-intrusive speech enhancement metrics in predictive and generative settings,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.798682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 543d1913-860e-4740-977e-166fb58c785e · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Score-based generative modeling through stochas- tic differential equations,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:58.934720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb748a4-9c8f-4626-bf18-a136b01a8642 · outbound

This paper cites Sur la th ´eorie relativiste de l’ ´electron et l’interpr´etation de la m ´ecanique quantique,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Sur la th ´eorie relativiste de l’ ´electron et l’interpr´etation de la m ´ecanique quantique,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.595091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02271fb1-523b-4103-adb0-c4a2c297c780 · outbound

This paper cites Diffusion schr¨odinger bridge with applications to score-based generative modeling,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Diffusion schr¨odinger bridge with applications to score-based generative modeling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.430838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d69607fb-41e0-4737-bad2-e40d9e0862ba · outbound

This paper cites Likelihood training of schr ¨odinger bridge using forward-backward sdes theory,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Likelihood training of schr ¨odinger bridge using forward-backward sdes theory,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.215134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 318c7a26-f5f7-4e82-a877-90e2bbcdaf73 · outbound

This paper cites Diffusion schr¨odinger bridge matching,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Diffusion schr¨odinger bridge matching,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.043859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f47cd194-70d3-4d46-a6ca-74a367c08131 · outbound

This paper cites I2 sb: Image-to-image schr ¨odinger bridge,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement I2 sb: Image-to-image schr ¨odinger bridge,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.915133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7eb3388-6fe2-4858-88fd-d0f2a269977c · outbound

This paper cites Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.146047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e01f144f-55e0-438f-906b-6604cb0cf01a · outbound

This paper cites Bridge-sr: Schr¨odinger bridge for efficient sr,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Bridge-sr: Schr¨odinger bridge for efficient sr,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.847936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 146b2a5a-fc61-4806-b568-56c030e7e117 · outbound

This paper cites Diffusion-based speech enhance- ment: Demonstration of performance and generalization,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Diffusion-based speech enhance- ment: Demonstration of performance and generalization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.719165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 304a6541-ac68-4399-a198-b4d0f0deb8d6 · outbound

This paper cites Tackling the generative learn- ing trilemma with denoising diffusion GANs,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Tackling the generative learn- ing trilemma with denoising diffusion GANs,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.631431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55381f9b-6fa5-4af7-a541-87298d2867fb · outbound

This paper cites Semi-implicit denoising diffusion models (sid- dms),.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Semi-implicit denoising diffusion models (sid- dms),

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.552024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23b37423-1886-4af8-8f20-5b23e30b3904 · outbound

This paper cites Ufogen: You forward once large scale text-to-image generation via diffusion gans,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Ufogen: You forward once large scale text-to-image generation via diffusion gans,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.455154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecf1398e-8133-47b6-8cab-96c3dd72f78d · outbound

This paper cites Ears: An anechoic fullband speech dataset benchmarked for speech enhancement and derever- beration,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Ears: An anechoic fullband speech dataset benchmarked for speech enhancement and derever- beration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.356714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81165c80-f3ba-4d97-91c1-20cfb729ce6b · outbound

This paper cites Adversarial schr ¨odinger bridge matching,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Adversarial schr ¨odinger bridge matching,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.267604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57cc08e9-fd3f-4372-83a3-28e19ff7faeb · outbound

This paper cites High fidelity neural audio compression,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement High fidelity neural audio compression,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.453027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b88685-a033-48af-a207-68a449e08ed4 · outbound

This paper cites Diffusion-based generative speech source separation,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Diffusion-based generative speech source separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.149307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9e27b39-1086-4630-a0c4-e8b44dd72d19 · outbound

This paper cites High-fidelity audio compression with improved rvqgan,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement High-fidelity audio compression with improved rvqgan,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.012017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea087756-580f-45f2-a710-8502fba945bf · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Decoupled weight decay regulariza- tion,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.558113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729b368d-eb4c-4303-a606-ade220696452 · outbound

This paper cites Improved techniques for training score- based generative models,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Improved techniques for training score- based generative models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:49.884605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe1ea0c3-4cbb-405c-8e52-976b8f002b6f · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:49.751795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd048368-52ec-47f5-9767-de493290e2ab · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Sdr – half-baked or well done?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:49.641143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 976b3bf1-6c50-4b94-bb3e-e99b36a18e8a · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement An algorithm for predicting the intelligi- bility of speech masked by modulated noise maskers,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.816494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68022d8d-dec6-4f3a-b2c1-f8974270bcde · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Dnsmos: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.719040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e702f8e-46bc-4d43-b532-4c1a32319477 · outbound

This paper cites Icassp 2024 speech signal improvement challenge,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Icassp 2024 speech signal improvement challenge,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.651371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53bca5b1-8d0b-4d31-b539-453027187e2a · outbound

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

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.583359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca70d1ab-4f90-49f5-945e-15088ca5a3de · outbound

This paper cites Hybrid transformers for music source separation,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Hybrid transformers for music source separation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.484385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46998531-467e-4766-a617-199d2b1df379 · outbound

This paper cites torch-pesq: Loss function inspired by the pesq score,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement torch-pesq: Loss function inspired by the pesq score,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.394766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0c9602b-f0ae-4fae-8706-c69c9d2926fc · outbound

This paper cites The pesqetarian: On the relevance of goodhart’s law for speech en- hancement,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement The pesqetarian: On the relevance of goodhart’s law for speech en- hancement,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.324651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77fd3c70-acab-4f91-b4d2-d8e44ed3aa0a · outbound

This paper cites Nu-wave: A diffusion probabilistic model for neural audio upsampling,.

Few-step Adversarial Schr\"{o}dinger Bridge for Generative Speech Enhancement Nu-wave: A diffusion probabilistic model for neural audio upsampling,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.245303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 8cb381fc-ba8e-4b88-b019-e7d191b7de05 · inbound