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Paper Citation Record · LEDGER

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1712.01751.

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

pith.paper-citation-record.v1
1712.01751 v3

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 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:17:34.164343Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:17:34.272536Z

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 f0e478e5-84d8-4831-9b01-c7d51b863eab · inbound

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image cites this paper.

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:17:34.281810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:17:34.164343Z digest=sha256:07be693168b2de403159ce42cef57ead11c1b9b62177eabdd42e453cd9d4f60b