Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.13747.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T01:18:52.051355Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:06:28.914049Z
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 0a54e0ed-686a-4c37-af1f-6dc0797091ed · inbound
Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III cites this paper.
Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:28.917163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.