Paper Citation Record · LEDGER

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2203.00131.

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

pith.paper-citation-record.v1
2203.00131 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:56:36.007532Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

65
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eaabe570-4afc-496f-8306-2128232b9987 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.060925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e7f76b5-cc8f-4518-b7ed-4ab2f8bc89aa · inbound

Diffusion-empowered AutoPrompt MedSAM cites this paper.

Diffusion-empowered AutoPrompt MedSAM A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T10:56:36.007532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d674fce-1018-4224-b1f3-f4ccbf0c3bff · inbound

Learning Segmentation from Radiology Reports cites this paper.

Learning Segmentation from Radiology Reports A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:30:53.884007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a78a213-8149-4f24-ae0d-9c80956b44b5 · inbound

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation cites this paper.

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:19.403665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9edb25-5fa1-4f3b-b4d5-d8552955443b · inbound

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation cites this paper.

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:50:51.457597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ed7a175-ce98-43a8-b091-89cc5735b571 · inbound

CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography cites this paper.

CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:26:59.207970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0e871c0-8ac6-49e4-bfc8-89620c531ff5 · inbound

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation cites this paper.

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:46.684793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd1ff12b-838f-4b9c-91fa-deec44dc932a · inbound

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT cites this paper.

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:44:42.095991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.