Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.03062.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:05.371966Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:33:59.045076Z
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 4c146477-4d00-48be-bc33-34ce905faea0 · inbound
Lightweight Road Environment Segmentation using Vector Quantization cites this paper.
Lightweight Road Environment Segmentation using Vector Quantization MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:00:05.371966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 383089f2-871c-49f9-b9bf-aabb5b89addb · inbound
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks cites this paper.
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:49:04.024976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66bae766-557a-4aa5-94f7-2e16f9f9fe13 · inbound
SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging cites this paper.
SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T15:33:59.050352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.