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Paper Citation Record · LEDGER

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.05330.

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

pith.paper-citation-record.v1
2502.05330 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:08:18.301468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:23:37.915646Z

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 a3cbe9d1-a3bc-4ce9-b157-2fd0d467ac6c · inbound

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement cites this paper.

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:37.917549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T05:21:18.076121Z digest=sha256:03b4b602f5fdea398926036d5b7e27a45c0fab489aaac022dea982d364b62d2e

Observation b0e797c9-100b-46b1-a81f-f62f1d924841 · inbound

SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images cites this paper.

SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T05:08:18.301468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:08:18.301468Z digest=sha256:4f51d53f58a7ab1d9c45eb189b94fed346981b43cb466003ccfc2364719b868e