Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RadGPT: Constructing 3D Image-Text Tumor Datasets
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2501.04678.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:28.856361Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:06:44.627110Z
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 0eb29bd9-9d0e-4568-ac77-26dee075d419 · 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 RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:28.856361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 360f1ebc-3439-45cd-8c4f-74aae10f461b · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 186
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:42.348216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31d06fb5-3412-4736-b8d2-220f772c667e · inbound
Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.
Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:55:49.156187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9dca2c0-47b6-4e1e-9bba-52c1a7735013 · inbound
ShapeKit cites this paper.
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:30:03.963033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d43ff402-2b82-471e-b32c-a265e4caf2ac · inbound
${\mu}^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation cites this paper.
${\mu}^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:45.553831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f3b643f-b85b-4c2e-8489-3e550190d563 · inbound
PanTS: The Pancreatic Tumor Segmentation Dataset cites this paper.
PanTS: The Pancreatic Tumor Segmentation Dataset RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:02:28.567043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eabb055f-d22c-43db-98c7-c862e9428f62 · inbound
Learning Segmentation from Radiology Reports cites this paper.
Learning Segmentation from Radiology Reports RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:30:53.244595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c427356-7d78-4980-b888-969afe3a7249 · 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 RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:41:43.230915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c299127-75ce-402c-8a41-293df4dcc00b · inbound
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation cites this paper.
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:12:47.271729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bfb65e40-f205-412b-a703-18b39b3a785e · inbound
Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes cites this paper.
Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:06:44.628934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.