Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MedLSAM: Localize and Segment Anything Model for 3D CT Images
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14752.
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, observed 2026-08-15T20:08:49.212577Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T18:32:47.527142Z
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 4e3dc9ab-0174-4b6d-9fb7-c0d912fa3439 · inbound
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research cites this paper.
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research MedLSAM: Localize and Segment Anything Model for 3D CT Images
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:08:49.212577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c1396f4-6471-41c5-b65c-533c86deef10 · inbound
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting cites this paper.
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting MedLSAM: Localize and Segment Anything Model for 3D CT Images
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T18:32:47.532900Z
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.