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Paper Citation Record · LEDGER

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.15656.

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

pith.paper-citation-record.v1
2406.15656 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:27.466038Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 78b7ad96-6c96-48a8-bb23-c76383159c3a · inbound

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration cites this paper.

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:27.466038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:27.466038Z digest=sha256:cee9ef01d63aae8959c3d7ec217b95e95cabd8c27b7f36e6c5bc7437e2e8d5c6