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Paper Citation Record · LEDGER

Real-time Speech Restoration using Data Prediction Mean Flows

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2605.16251.

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

pith.paper-citation-record.v1
2605.16251 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T18:22:57.261932Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T18:22:57.261932Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T18:23:10.385922Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact7
  • verified fuzzy18
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e33aac26-95ae-4e88-9f88-4eb98150ca58 · outbound

This paper cites Speech restoration aims to address and fix all of those non-linear and de- structive degradations by using generative modeling.

Real-time Speech Restoration using Data Prediction Mean Flows Speech restoration aims to address and fix all of those non-linear and de- structive degradations by using generative modeling

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.400439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:06e5761ffaffc239d394d2dd270b4c8ae6fb121318ee3060a10f6ca4dc93b80e

Observation 9e180cee-2e54-4727-95bb-4593f57d82a4 · outbound

This paper cites Real-time Speech Restoration using Data Prediction Mean Flows.

Real-time Speech Restoration using Data Prediction Mean Flows Real-time Speech Restoration using Data Prediction Mean Flows

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:23:10.387484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:07d905e69f03487f0be3d3c7aab9e790d33db1fb89dc376af2d46f6ba560fed9

Observation a4940b7f-4ee5-40a9-9359-f992adc0902f · outbound

This paper cites an unresolved cited work.

Real-time Speech Restoration using Data Prediction Mean Flows Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-19T18:23:10.402693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:00fac6f78fffa551481366e67d077e59fc5d5d0bd52592b1ecb90203d5ffc656

Observation 8e358d17-f9a2-47ad-8aeb-374120982719 · outbound

This paper cites Test set and metrics We use the Signal Improvement Challenge 2024 (SIG2024) [21] test set, 500 real-world recordings with typical degradations from de- vices and V oiP processing.

Real-time Speech Restoration using Data Prediction Mean Flows Test set and metrics We use the Signal Improvement Challenge 2024 (SIG2024) [21] test set, 500 real-world recordings with typical degradations from de- vices and V oiP processing

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.396068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:c43a4435af33cb889748c255e57a9475cc934858fb5296fa656a34481319ca07

Observation 1efb8be3-0146-4fdf-8e18-e61acab6fff4 · outbound

This paper cites an unresolved cited work.

Real-time Speech Restoration using Data Prediction Mean Flows Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-19T18:23:10.404912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:4a0ce22b95669d2d8829fde517092522e2e50713dd53c8251a0f03ad1dc8cc72

Observation aa67ca40-d478-4c53-81a9-c9661d67107d · outbound

This paper cites HiFi-GAN-2: Studio-quality speech enhancement via generative adversar- ial networks conditioned on acoustic features.

Real-time Speech Restoration using Data Prediction Mean Flows HiFi-GAN-2: Studio-quality speech enhancement via generative adversar- ial networks conditioned on acoustic features

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.393426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:1c02e98ba192397d83c1ac234e71faef7602ad6a526efedeaf9a8e9621b38df4

Observation e491f9e4-fb2f-44dd-8314-d314f91aaa75 · outbound

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

Real-time Speech Restoration using Data Prediction Mean Flows Universal Speech Enhancement with Score-based Diffusion

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:23:10.390889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:e2c9cdc37d169afb3fcbe48701c109461bbdfea2e6269ace5ddf19158ed66637

Observation 502070c5-56b2-4c1a-8962-61f4bdf8669d · outbound

This paper cites Causal diffusion models for generalized speech enhancement.

Real-time Speech Restoration using Data Prediction Mean Flows Causal diffusion models for generalized speech enhancement

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.407000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:761ca425bf0fbcd56aafc749cdd1478d3caa430d9b86c7983f7b88f860fd22ba

Observation 670d1325-1480-404d-b397-f0c4aba1e2c7 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Real-time Speech Restoration using Data Prediction Mean Flows Score-based generative modeling through stochastic differential equations

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.425062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:d28280b95159a7d206f2ce44bc512ede6178c31bf18f19cc76929c1aa3ec7e13

Observation a6bc91b6-205a-44a5-a530-b1d6a68cf20f · outbound

This paper cites Stable audio open.

Real-time Speech Restoration using Data Prediction Mean Flows Stable audio open

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.414571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:5e48ed3e3ae1b1d49b3f7c7b301c30079bd097a1b51e84250b3a0c7142b08c56

Observation 4352ad97-da23-4154-bad9-dd850b01320d · outbound

This paper cites Dif- fusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency.

Real-time Speech Restoration using Data Prediction Mean Flows Dif- fusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.436040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:9b6fe3e7d88237d1b9e11f6858df3f5fa67c9d3b284995423e7ec284436d72a1

Observation ce8bb168-78a7-4c6b-87dc-c8e615e022fc · outbound

This paper cites Towards real-time generative speech restoration with flow-matching.

Real-time Speech Restoration using Data Prediction Mean Flows Towards real-time generative speech restoration with flow-matching

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.416732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:ad99d488aa8f30ac569634525d4003fbb2a0eb85c01ffe3e7cf386fa91729902

Observation 5b981edd-d632-4896-8c84-74f8710f5463 · outbound

This paper cites Real-Time Streamable Generative Speech Restoration with Flow Matching.

Real-time Speech Restoration using Data Prediction Mean Flows Real-Time Streamable Generative Speech Restoration with Flow Matching

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:23:10.381050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:05b3954e7a905279bebe162790a4c3ccc06707f7818126dfd16c6a96b714ca8a

Observation fd6452b7-d986-4d60-8eb3-bd239bd34e73 · outbound

This paper cites Improved Mean Flows: On the Challenges of Fastforward Generative Models.

Real-time Speech Restoration using Data Prediction Mean Flows Improved Mean Flows: On the Challenges of Fastforward Generative Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:23:10.367127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:2261658b05dc3f2caf0f8d20a44d22c983b0e84fe6dcecdfc1f118c21995d940

Observation 72ee9951-4464-47f9-b070-65b6caeff95a · outbound

This paper cites MeanAudio: Fast and faithful text-to-audio generation with mean flows.

Real-time Speech Restoration using Data Prediction Mean Flows MeanAudio: Fast and faithful text-to-audio generation with mean flows

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:23:10.371457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:45b45e4b8d99eda9ed2d056c33f43e5d00a42896131ed9a9cb52a00a6e9f876c

Observation 9023eebf-b258-4737-9b91-1193341fadcf · outbound

This paper cites Meanflow- tse: One-step generative target speaker extraction with mean flow.

Real-time Speech Restoration using Data Prediction Mean Flows Meanflow- tse: One-step generative target speaker extraction with mean flow

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:23:10.384481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:7acd588c4b591940998a994147a3946ebde837558b80585e036f1b446f45e5c5

Observation 52719a12-43d5-4297-bc40-a5ba17a36213 · outbound

This paper cites MeanFlowSE: one-step gen- erative speech enhancement via conditional mean flow.

Real-time Speech Restoration using Data Prediction Mean Flows MeanFlowSE: one-step gen- erative speech enhancement via conditional mean flow

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:23:10.377814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:50bb49d628c9f99402ec3e930fab5843240b931ac4325710f7e38557c5b52f12

Observation b959b063-f890-4e69-83ec-3dd3bb127d30 · outbound

This paper cites Flow matching for generative modeling.

Real-time Speech Restoration using Data Prediction Mean Flows Flow matching for generative modeling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.423041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:7655308ef2518e14d4b6177bd9a7c69581c1e406a62a362938a4664c9926d99e

Observation 59956817-180a-4e9d-89a5-f16dadf9b70b · outbound

This paper cites Denoising dif- fusion probabilistic models.

Real-time Speech Restoration using Data Prediction Mean Flows Denoising dif- fusion probabilistic models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.429932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:435bfb7bef8df8999c69a2ce251b56055415e6fb530bd008130de7f0c4577e59

Observation 0d19daee-f548-4576-9a44-3a583e1f7b4a · outbound

This paper cites Mean flows for one-step generative modeling.

Real-time Speech Restoration using Data Prediction Mean Flows Mean flows for one-step generative modeling

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.427859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:b79ed9c8d152252ea853394cc3f8b88aadd09252e9b0ab1c9a17ebcb8d7930e7

Observation 99a44004-490a-4cff-9408-45083e67bbea · outbound

This paper cites EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation.

Real-time Speech Restoration using Data Prediction Mean Flows EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.431977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:5a924f91009f625faa61e1cd2e8af31e26533cab110c73060dc2bacfa236ec76

Observation 88be03a6-61cf-403c-aae0-c45b0287e0a3 · outbound

This paper cites Image method for efficiently simulating small-room acoustics.

Real-time Speech Restoration using Data Prediction Mean Flows Image method for efficiently simulating small-room acoustics

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.409714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:db57fc04ad636d44e6de44ed3724814f2d3d1de6a488f6a340b33cc66aebbdd9

Observation 57d5c609-a792-499e-95dc-12c29d9eaf58 · outbound

This paper cites INTERSPEECH 2021 deep noise suppression challenge.

Real-time Speech Restoration using Data Prediction Mean Flows INTERSPEECH 2021 deep noise suppression challenge

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.398200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:aca4c3d2345d356c2d09619a003776be13e343dc5bf20ec7b507217fc7d1929f

Observation bef86d48-c7fb-4aa4-a2d2-e279bace4375 · outbound

This paper cites an unresolved cited work.

Real-time Speech Restoration using Data Prediction Mean Flows Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-19T18:23:10.418534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:546a4da61aa8520cadd9e89d7a5e5575dcd7e6a1361036996b8c33879a0fb059

Observation 94f55984-1628-44d2-9d3d-df312a5c70fd · outbound

This paper cites MobileNetV2: Inverted residuals and linear bottlenecks.

Real-time Speech Restoration using Data Prediction Mean Flows MobileNetV2: Inverted residuals and linear bottlenecks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.437946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:6b61758a96a583a35a8815eea984c789f12ab5752a4546ce02c650f7e615054a

Observation 8c66d955-7466-422d-9b0d-9b42c78c0df2 · outbound

This paper cites ICASSP 2024 speech signal improvement challenge.

Real-time Speech Restoration using Data Prediction Mean Flows ICASSP 2024 speech signal improvement challenge

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.434042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:9a0ed92626c960e368e9571470d317fe0dafb3e4527e90fce75ed5d4d091bf61

Observation 7c09b7fe-3b1a-40e4-a176-ce27ef31809b · outbound

This paper cites Distillation and pruning for scalable self-supervised representation-based speech qual- ity assessment.

Real-time Speech Restoration using Data Prediction Mean Flows Distillation and pruning for scalable self-supervised representation-based speech qual- ity assessment

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.420484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:b2e34c43616ef8395925f2e9b3cc74436c5501c8388dcfe20547c4ef561577a5

Observation cd85e9c6-d73b-49d1-9a7a-5dd18d5b0808 · outbound

This paper cites DNS- MOS P.835: A non-intrusive perceptual objective speech qual- ity metric to evaluate noise suppressors.

Real-time Speech Restoration using Data Prediction Mean Flows DNS- MOS P.835: A non-intrusive perceptual objective speech qual- ity metric to evaluate noise suppressors

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T18:23:10.411628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:17e73bcdc8600f647e3823bf132f99faaced2c619edb4b1c758388f03adc9dbe

Pith citing papers

Observation 9e180cee-2e54-4727-95bb-4593f57d82a4 · inbound

Real-time Speech Restoration using Data Prediction Mean Flows cites this paper.

Real-time Speech Restoration using Data Prediction Mean Flows Real-time Speech Restoration using Data Prediction Mean Flows

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:23:10.387484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:07d905e69f03487f0be3d3c7aab9e790d33db1fb89dc376af2d46f6ba560fed9