Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
End-to-End Variational Networks for Accelerated MRI Reconstruction
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.06688.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:03:26.447258Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T02:49:24.968801Z
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 0acdad90-efe8-4fed-8403-69a61f299a6e · inbound
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction cites this paper.
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction End-to-End Variational Networks for Accelerated MRI Reconstruction
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:03:26.447258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e47b2db2-b944-41ce-a031-f9e1ba4b8a6b · inbound
Fast MRI of bones in the knee -- An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences cites this paper.
Fast MRI of bones in the knee -- An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences End-to-End Variational Networks for Accelerated MRI Reconstruction
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:34.223629Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50c41fcd-286c-41e3-b992-2e2f2c55cd46 · inbound
Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging cites this paper.
Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging End-to-End Variational Networks for Accelerated MRI Reconstruction
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:55:39.899718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb0e6b0c-d615-403f-8063-2f3e41c57ccd · inbound
MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction cites this paper.
MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction End-to-End Variational Networks for Accelerated MRI Reconstruction
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:06:24.674543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2b718d42-2cb9-491b-a2a9-06dc21fe4810 · inbound
Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning cites this paper.
Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning End-to-End Variational Networks for Accelerated MRI Reconstruction
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:49:24.970421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.