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Paper Citation Record · LEDGER

AeroPath: An airway segmentation benchmark dataset with challenging pathology

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.01138.

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

pith.paper-citation-record.v1
2311.01138 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T22:24:37.183447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:41:15.241263Z

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 aec569ef-3f47-4ec1-84a6-dc8e6e719a23 · inbound

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation cites this paper.

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation AeroPath: An airway segmentation benchmark dataset with challenging pathology

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T22:24:37.183447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:24:37.183447Z digest=sha256:39cdccf9040eacd66b00b452adbb5aa93c0533bdbceaa41a78f765cd11db2fea

Observation 8bc3bbd6-1941-4cc1-a0fe-c3996e68c28e · inbound

Sparse Representation Learning for Vessels cites this paper.

Sparse Representation Learning for Vessels AeroPath: An airway segmentation benchmark dataset with challenging pathology

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:15.243265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:e182a7699edcff4d73ec5fcef8162fa6feffc752d2d3a0f3964784c106f6793d