Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.14678.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:05:51.955023Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:16:11.560912Z
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 08942472-71fe-42b0-bd97-ca1404aa6271 · inbound
Towards Reliable and Reproducible Fetal Brain Biometry: A Deep Learning Approach Using MRI cites this paper.
Towards Reliable and Reproducible Fetal Brain Biometry: A Deep Learning Approach Using MRI BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:05:52.033694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.