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Paper Citation Record · LEDGER

NU-GAN: High resolution neural upsampling with GAN

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.11362.

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

pith.paper-citation-record.v1
2010.11362 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:37:03.638921Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:26:30.736251Z

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 dc161ac4-b595-45a0-b79e-f979fe65ab21 · inbound

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling cites this paper.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling NU-GAN: High resolution neural upsampling with GAN

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-09T10:37:03.638921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:37:03.638921Z digest=sha256:26634a2c8df7c4b0c5f9a0f271b670633a010edd9e2a150d617dac1d8fe658f3

Observation 437fbb82-075b-4a85-a223-a5a1fae8101b · inbound

A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Loss cites this paper.

A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Loss NU-GAN: High resolution neural upsampling with GAN

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:26:30.828782Z

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=2026-08-06T21:26:28.207281Z digest=sha256:8c5028c9e901be2a854bcf02b644f16519f1e54d0f9d8060c119c2ebdede85f7