Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.02403.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:30.423328Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:41:43.538817Z
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 30fbadfe-e079-49e4-aee7-f458f25d62ff · inbound
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering cites this paper.
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:30.423328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cce1be0-d9ca-42ef-bb1a-d8b624ec4ae2 · inbound
PanTS: The Pancreatic Tumor Segmentation Dataset cites this paper.
PanTS: The Pancreatic Tumor Segmentation Dataset WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:02:31.229789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5c9ec52-90b6-4b99-9c67-8cb076d5957f · inbound
DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents cites this paper.
DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:41:43.542521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.