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Paper Citation Record · LEDGER

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.06869.

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

pith.paper-citation-record.v1
1705.06869 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:02:03.402399Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T05:02:35.887836Z

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 9d5c2bb4-f96f-491f-a076-b5a311e34ed8 · inbound

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) cites this paper.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-23T05:02:35.890151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T05:02:03.402399Z digest=sha256:e8ed65f5ff318961d222e6867cf9bfad7b53cacf138649adc6972116e6be0efd

Observation 5b339be1-83ac-4c85-82ea-cd5e87f7f814 · inbound

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction cites this paper.

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:52:14.044599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T22:47:56.290997Z digest=sha256:8db99e7a58576b28fdce42708ba23dc4afaee2a5f239ea2c5ecb8436f65b3349