Paper Citation Record · LEDGER

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.06823.

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

pith.paper-citation-record.v1
2203.06823 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:05.980705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T03:18:57.226526Z

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 dc529782-154d-4b0c-9186-3a34df378c3f · inbound

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction cites this paper.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.980705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d93c3a5f-ecb7-4834-96f0-926859ff72e8 · inbound

Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications cites this paper.

Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T22:24:20.971690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b595b1-0f57-4eeb-a993-1416342dd778 · inbound

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI cites this paper.

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T18:24:15.672295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a372ebc-379b-4441-94c7-1a7b21814645 · inbound

LM-CartSeg: Automated Segmentation of Lateral and Medial Cartilage and Subchondral Bone for Radiomics Analysis cites this paper.

LM-CartSeg: Automated Segmentation of Lateral and Medial Cartilage and Subchondral Bone for Radiomics Analysis SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:18:57.228564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.