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Paper Citation Record · LEDGER

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:33:21.509223Z

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 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.

source=pdf_text observed=2026-08-08T19:33:21.509223Z digest=sha256:a2b34bb7b5e22edbaa5ebf74fea95768a7f10546c817bc69636485a68af29fc0

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.

source=pdf_text observed=2026-08-07T05:03:35.708471Z digest=sha256:999654e5299194c2007924dfc80fe210414487853aad5b5f5189587dae55a182

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:37:27.060846Z digest=sha256:b03b75b188e93bebcbd0ec69b3fef7b3430e2c5cb92e281faaceac34c0952a17