Paper Citation Record · LEDGER

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.00496.

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

pith.paper-citation-record.v1
2408.00496 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:45:30.677561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:41:02.349987Z

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 2d2763c2-8857-4616-b817-7a43ef743636 · inbound

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies cites this paper.

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:30.677561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d225f8bd-ef62-40b0-8711-ef2f8f3eb832 · inbound

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer cites this paper.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.177017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8d95f4-8e94-4fdc-8972-cb06a7cb4ab7 · inbound

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation cites this paper.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:36.960516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a3fa95-ac7a-4914-bd6e-a43bbc5956e8 · inbound

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction cites this paper.

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:19:39.274366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa349662-2e86-4e8c-b5df-ec49c3eeedb8 · inbound

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T19:33:21.509223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8284865-778a-4393-a0c5-91d0ccfb0528 · inbound

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation cites this paper.

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:35.708471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7fdfee2-58a6-4312-b5e8-3bef9fee5d1b · inbound

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation cites this paper.

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:02.351399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.