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Paper Citation Record · LEDGER

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1803.08608.

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

pith.paper-citation-record.v1
1803.08608 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:56:42.443065Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 f11e9f4d-0b23-4e39-a521-96b93b42c586 · inbound

Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones cites this paper.

Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T04:56:42.443065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:56:42.443065Z digest=sha256:562f13523297776ddd38d7fa5037f493f92adb6cee0bfe6a8aadf295c273d536