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Paper Citation Record · LEDGER

Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.13110.

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

pith.paper-citation-record.v1
1910.13110 v3

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 2026-08-12T17:10:58.600529Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:10:58.832959Z

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 b69597fa-6c3c-47ff-9cb8-093fb2d95508 · inbound

Robust multi-coil MRI reconstruction via self-supervised denoising cites this paper.

Robust multi-coil MRI reconstruction via self-supervised denoising Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:10:58.837991Z

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=2026-08-12T17:10:58.600529Z digest=sha256:16945d10459a8b04e1110c1c9fb46ad9b8e7fe6e781abca2fb072cd745220f06

Observation 01aab1ce-5aed-4f67-ba8a-25cc5d5198a4 · inbound

Physics Matters in PnP: Recovery Guarantees with the MMSE and NN Denoisers cites this paper.

Physics Matters in PnP: Recovery Guarantees with the MMSE and NN Denoisers Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-03T05:21:55.679834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:21:55.679834Z digest=sha256:9dd2b1cf520143d0c68f0b4ce3c2c9b608ba98d266bf59fba3423c0355ef22ce