Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:46:27.644749Z
Paper Citation Record · LEDGER
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net
As of 22 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:1908.08294.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact2
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 20bac180-7a88-4661-9bf5-27d5d9a2b9ec · outbound
This paper cites Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift.
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:46:27.623267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df4483e4-c204-4051-97fd-bf036a76abfe · outbound
This paper cites an unresolved cited work.
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:46:27.801291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7eca00d3-c14c-4a1f-a844-e0f18968659f · outbound
This paper cites Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative.
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-14T11:46:27.679599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f605b202-ded2-4082-b113-4e7a6a1e1784 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net U-net: Convolutional networks for biomedical image segmentation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:46:27.639166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d729f12-10ed-4888-afa1-9760b3d654d8 · outbound
This paper cites Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation.
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation
Reference 5
- Resolution
- verified exact
- raw_fallback, observed 2026-08-14T11:46:27.755489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.