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Paper Citation Record · LEDGER

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.19043.

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

pith.paper-citation-record.v1
2406.19043 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:21:44.057630Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:26:54.811352Z

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 ff0ecb5e-52a2-4772-82d1-1facb61005d4 · inbound

An All-in-one Approach for Accelerated Cardiac MRI Reconstruction cites this paper.

An All-in-one Approach for Accelerated Cardiac MRI Reconstruction CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T19:21:44.057630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:21:44.057630Z digest=sha256:520117d25d826ee331448fc18f86290896b07b8dc8eafc1e03d0edce0a91aff7

Observation ce3fffb2-43c0-4735-a5d9-21869661f507 · inbound

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI cites this paper.

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:26:54.816340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:26:54.363418Z digest=sha256:191589ab1435e26ee225dc603776f9b8e7a7a5f27b34e4a6f5e08eb974a3e4d8