Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.17143.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:54:10.881998Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T19:40:02.816632Z
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 36bd80d0-aae6-4770-9d61-ae5255313a24 · inbound
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection cites this paper.
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T19:40:02.823267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 16420a90-5878-426c-99f5-48ff7c460782 · inbound
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation cites this paper.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.881998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.