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Paper Citation Record · LEDGER

Real-time Speech Restoration using Data Prediction Mean Flows

As of 10 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 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:1eda6c6b39737d8cb31480183ed2911ca955977d37cf7aee067b3ee85966b312

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:1297cae22f73b023e781ec033da9b115251c25d8ea030ba1f021e747773a8dd6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:c5941e4f07df7a5a61aff765acd45c2eb0066711c5a9561ac35ff0cd9458a515

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:ecea1e1c4ec9e4f356b9a0ad0772180dd7a2281918a2a9028bbf7ab78dae7296

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:ea05884051e66412d9104b951c72fe1c755a462d8e37f80b5c913dd3c03822b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:bb391fb346b6ded0c1b524c0fcd39fc54b7627117fe5266d6fb8fb63658e4df1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:a763fca046f99633db8b2b12995158846a9755df785233c9f3319da563cc7c5b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:8248ce2a9779effe4b8b4fd038fa73dfbe280dcc577f1af0672445b453e07e11

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:a184bf3a522a1395859de97e5e2c21df8c58e3f16f4de70b51b246bd688f6452

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:49571e109a913d8d83c72799e24139e35c69174d42e9c1b867db52294fcc407b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:0634d46e8cd55ea122d497fd70f658bc4c6b9aba8b41c432dbed78e7d0188193

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:850f0b24185f9950d7f991dc92facf6234773b5d915afb642ad3bcf14974f19c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:36963b5e64b12b4be7edc7fd93e7ef75a0d5a3cc36f7b90925f689b32cd8f75a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:36e23c833acb7784a7eaa65f7d561729cb0d43244ce8c8f27cda775794fe0f7d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:0df739e952986b667bf3df81a3fb0d5cc0e7a28481d9eb6d570cf3da87e9ce6a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:5347ff375d130ab8ed3fba29b2195e9a68c0d81d08f074b0be4c81d780e8649b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:fff769233c6f659180910d8624b2e29fc42879c97d7a758887aac41196f0eb15

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:6306918cca907a7eaab1945452ee41edb338931c1e7c1011d2aa9f617248542c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:fcde7f270eb37729766c07fd9583d9d77658fc02eb02e294502d8d6c0d590a40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:12cbfdc70c87cd29934d2d67ef1a1a4c17345bee8922892f14590593d3d79535

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:448e15fb15847f3c1cbbbe61913bbfbe536d3ed8526d48d545d357b280cb63de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:ed81d14ee66c67890139a9aec15f9e1f168a35ea43f0f16e9f2a965aace0b6fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:1f6f5b8466269aa4d482b8f1f55b845a10c8b1c885a7534e64e6870807226b35

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:724f3a877ad04ee55be01b168d794e5c74fbbdf101e1a106a37d08d079f86661

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:97534b350758c485dea7e7d32e89a9ab920c6d3394098f0c846dd66bbfacd099

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:ad530f5bda566eba97a59bcab1119a59cf570596762f2194f7fc781406cfdf8f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:c8cba4e70fc8526868d49d043464279138fe0bff97496be02aa50e21161e049a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:587357c467ea58ba6edfc9b1cfda46fc3132ff642eda1fca540ef343ade343ce

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T18:22:57.261932Z digest=sha256:1297cae22f73b023e781ec033da9b115251c25d8ea030ba1f021e747773a8dd6