Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:52:34.082462Z
Paper Citation Record · LEDGER
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms
As of 22 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:1908.04173.
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 2026-08-22T06:32:14.747728+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
7 of 7 outbound references displayed
- verified exact0
- verified fuzzy5
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8d8966cf-2a51-443c-9fea-1888bde6764f · outbound
This paper cites Learning to segment medical images with scribble-supervision alone.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms Learning to segment medical images with scribble-supervision alone
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:34.251664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 767e944a-bbf7-4986-b2f0-1c9553dcb5ae · outbound
This paper cites Random walks for image segmentation.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms Random walks for image segmentation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:34.230779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 34e9d5c5-3c73-4ee6-92a2-0a6b35b4db9c · outbound
This paper cites A survey on deep learning in medical image analysis.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms A survey on deep learning in medical image analysis
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:34.053044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5edee248-1fea-4e3b-b06c-921f1a8f26bc · outbound
This paper cites M-net: A convolutional neural network for deep brain structure segmentation.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms M-net: A convolutional neural network for deep brain structure segmentation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:34.196786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 225334b4-bb7a-46f3-b098-2cd61dfcff55 · outbound
This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms V-net: Fully convolutional neural networks for volumetric medical image segmentation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:34.172857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a975c6d7-01c8-411e-a2eb-4aec3995237d · outbound
This paper cites Biodegradable magnesium-based implants in bone studied by synchrotron radiation microtomography.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms Biodegradable magnesium-based implants in bone studied by synchrotron radiation microtomography
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:34.151216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a3e3cde8-db1b-4dca-ba4f-025921269b9a · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms U-net: Convolutional networks for biomedical image segmentation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:34.082462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.