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Paper Citation Record · LEDGER

Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.06878.

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

pith.paper-citation-record.v1
1906.06878 v4

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:31:27.277485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T00:57:00.401698Z

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 3f5ecd78-e58d-4f8b-a922-958d76cf3786 · inbound

Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior cites this paper.

Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-14T14:31:27.277485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:31:27.277485Z digest=sha256:b6ef490ad761fbb3e6961d55b47784c9abb30aeb640006d007c5a12a2ce2ff40

Observation e9af5faf-5797-457a-90e2-9051573a0759 · inbound

Deploying Self-Supervised Learning for Real Seismic Data Denoising cites this paper.

Deploying Self-Supervised Learning for Real Seismic Data Denoising Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T00:57:00.403793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T00:55:49.204208Z digest=sha256:0cb6d5cd5c19290944d6be147682d0bb5d4b608733e1dcc38bc5c427ccbb970e