Paper Citation Record · LEDGER

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2111.02403.

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

pith.paper-citation-record.v1
2111.02403 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:18:28.268097Z

measured 0 of 1 external citation measurements

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 e3f361fd-b401-4f69-a45e-b6091627146b · inbound

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance cites this paper.

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T11:43:08.672917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57271f06-37cc-4e48-b40a-e9e350ff4c23 · inbound

RadGPT: Constructing 3D Image-Text Tumor Datasets cites this paper.

RadGPT: Constructing 3D Image-Text Tumor Datasets 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 2026-08-10T21:31:28.559404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 afa86493-2398-4d9d-8596-12bb26a8a43e · inbound

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis cites this paper.

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:28.268097Z

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 2026-08-17T06:30:58.91139+00:00.