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Paper Citation Record · LEDGER

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2104.02321.

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

pith.paper-citation-record.v1
2104.02321 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:36:57.318611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:17:51.595644Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 459fc10a-2304-405b-a900-bfc08b9621cb · inbound

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:17:51.597379Z

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=2026-05-10T13:17:51.511535Z digest=sha256:56c764831ea63f49e8378165dad92335685151123174266ca36746dbbbe2ccec

Observation 47f666d6-59ec-4028-aa01-6f0bff22376a · inbound

Bridge-SR: Schr\"odinger Bridge for Efficient SR cites this paper.

Bridge-SR: Schr\"odinger Bridge for Efficient SR NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T20:36:57.318611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:36:57.318611Z digest=sha256:eb88dee9fe1a9b98ec2d31fde7eb8237071c22d39a3d4b02056d480b4d65b4e4

Observation e5bcca4f-d093-44b9-ba0b-660b62e04e4c · inbound

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution cites this paper.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:35.309153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.309153Z digest=sha256:2eecbb8718336b1e61d1c2ad8b860c77b5d5804c82ecd97b3b459093cc4cc6f4

Observation db35fb40-20e6-4f99-9665-a9a54fab763c · inbound

A2SB: Audio-to-Audio Schrodinger Bridges cites this paper.

A2SB: Audio-to-Audio Schrodinger Bridges NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T18:29:47.880202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:29:47.880202Z digest=sha256:fe2142eb1c955419ee1f50580a925c4e86711091f116168a92e74a587a3cd84d

Observation 014c09e7-7854-42f0-aa36-8d28a67ce2ca · inbound

Inference-time Scaling for Diffusion-based Audio Super-resolution cites this paper.

Inference-time Scaling for Diffusion-based Audio Super-resolution NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:26.893661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:26.893661Z digest=sha256:ec67a31945628d65ad2b45cd3801b93a791d364bb1e9551c8611eeb3a1dc5cdb

Observation 81f17aef-e4f0-4ef8-a670-37a9a0ae010b · inbound

Semantic Sampling via Learnable Observation Front Ends cites this paper.

Semantic Sampling via Learnable Observation Front Ends NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T05:57:09.697169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:57:09.697169Z digest=sha256:6ce6992ff59b4c62f3646929b0e20904cdba1dd628fdd8b8e4019e1cd5e10b53