Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.00499.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:02:24.780751Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:54:40.678248Z
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 c9bf5461-f685-4f54-aa89-09c7f50d58b4 · inbound
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:02:24.780751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b2d5209-9f4b-4426-a4b5-b39643efa823 · inbound
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning cites this paper.
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:54:40.737497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.