Paper Citation Record · LEDGER

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2209.15076.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2209.15076 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:36.550194Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:26:26.455377Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 a326f3f4-899b-4972-8dd7-2b538d1362fd · inbound

TAGS: 3D Tumor-Adaptive Guidance for SAM cites this paper.

TAGS: 3D Tumor-Adaptive Guidance for SAM 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:28:36.550194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b653efa-53cd-4511-810b-d808dc36fe52 · inbound

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling cites this paper.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.892236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52583f37-fb4f-4527-8c9d-fb0f458c2774 · inbound

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation cites this paper.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.886563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2707d6f0-ec04-4cff-baff-a589f4299c20 · 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 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:10:49.655201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 630b2ecc-7c01-4738-aff0-9c5211ffaec4 · inbound

ImplantMamba: Long-range Sequential Modeling Mamba For Dental Implant Position Prediction cites this paper.

ImplantMamba: Long-range Sequential Modeling Mamba For Dental Implant Position Prediction 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.635830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bba1918-d500-4586-9cd6-8ac334912485 · inbound

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation cites this paper.

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:08.049681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89a37b7b-1407-4e4c-bce3-27439b80182f · inbound

Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis cites this paper.

Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:26:26.458280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39f1f168-cf6e-4b89-9c77-a82d65731c80 · inbound

Displacement Preserving Relational Distillation for Robust Medical Segmentation cites this paper.

Displacement Preserving Relational Distillation for Robust Medical Segmentation 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T16:38:56.238848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83197892-ef7e-4e4f-ad48-185fb57450e4 · inbound

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T14:59:59.737219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.