Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.12974.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:34:59.248522Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:12:47.372138Z
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 d7f0b6b0-c194-4fe1-8514-5653fd6a52d7 · inbound
Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning cites this paper.
Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:34:59.248522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08a291ec-4efe-4ae2-9e24-199225c34afd · inbound
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI cites this paper.
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T23:12:47.448444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f843e248-78a1-4aa4-a532-bb30b1e49d53 · inbound
MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation cites this paper.
MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:41:15.939497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.