Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05944.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:41:56.754061Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T21:08:32.941781Z
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 fd4f2a41-20cc-422d-aef1-df0661a79008 · inbound
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation cites this paper.
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:41:56.754061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47d48598-36ee-4f31-b401-b4f5e8072d47 · inbound
In search of truth: Evaluating concordance of AI-based anatomy segmentation models cites this paper.
In search of truth: Evaluating concordance of AI-based anatomy segmentation models MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:08:32.944268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.