Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.09975.
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, observed 2026-08-12T13:50:33.400969Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T22:10:49.665554Z
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 54e17704-08e3-4ca0-ab1f-ce321530a890 · inbound
Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics cites this paper.
Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:50:33.400969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50536cd9-2c8f-4880-99e3-9f298a959766 · inbound
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT cites this paper.
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:03:20.820237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b118bfbe-e1b2-4b63-b4a4-3618536a6754 · inbound
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer cites this paper.
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:43:39.510980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68308734-583b-4ceb-8585-e5af55f149de · inbound
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement cites this paper.
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:52.557650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b8e8f91-6a6f-461d-99dd-f9bb9e8b2a6b · inbound
Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation cites this paper.
Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:10:49.668674Z
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.