Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-25T22:29:36.869698Z
Paper Citation Record · LEDGER
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models
As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.24476.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b37f0465-2384-417c-9151-bbc3bd869ef1 · outbound
This paper cites 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:50:04.618897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae89e134-075f-484d-b003-f64dba2a6d62 · outbound
This paper cites Wireless environmental information theory: A new paradigm toward 6G online and proactive environment intelligence communication,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models Wireless environmental information theory: A new paradigm toward 6G online and proactive environment intelligence communication,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 966cba6f-84cf-446f-993d-3127eeed10bc · outbound
This paper cites ChannelGPT: A large model toward real-world channel foundation model for 6G envi- ronment intelligence communication,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models ChannelGPT: A large model toward real-world channel foundation model for 6G envi- ronment intelligence communication,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a3af0ae-0a15-40d9-88ea-d13485fc50b7 · outbound
This paper cites Digital twin channel for 6G: Concepts, architectures and potential applications,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models Digital twin channel for 6G: Concepts, architectures and potential applications,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d2d60f3-c454-4fb9-9556-7351674f473a · outbound
This paper cites DataAI-6G: A system parameters configurable channel dataset for AI-6G research,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models DataAI-6G: A system parameters configurable channel dataset for AI-6G research,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b5c23d9-6b79-429c-8a80-4e36b35333e8 · outbound
This paper cites BUPTSounder Pro: A multi-modal environment-channel joint data acquisition system for 6G digital twin channel,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models BUPTSounder Pro: A multi-modal environment-channel joint data acquisition system for 6G digital twin channel,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a934634-f0a9-489e-acf5-ad9e912b5b89 · outbound
This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T18:50:04.621498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation de78f292-6ef7-42fe-a420-50e4119bd72b · outbound
This paper cites WAIR-D: Wireless AI Research Dataset.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models WAIR-D: Wireless AI Research Dataset
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:50:04.624019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f8269370-7743-4042-9b0c-22e570d0243b · outbound
This paper cites CKMImageNet: A comprehensive dataset to enable channel knowledge map construction via computer vision,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models CKMImageNet: A comprehensive dataset to enable channel knowledge map construction via computer vision,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97379068-76f5-4572-af03-09ac4fc68442 · outbound
This paper cites RadioDiff-3D: A 3D×3D radio map dataset and generative diffusion-based benchmark for 6G environment-aware communication,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models RadioDiff-3D: A 3D×3D radio map dataset and generative diffusion-based benchmark for 6G environment-aware communication,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13cf40a8-10b0-4163-89e8-c090171a60a4 · outbound
This paper cites M 3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models M 3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6e2bc7e-02b3-4ebe-93ba-3d794765f936 · outbound
This paper cites DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d99e3d95-26d3-4563-b980-6afc8a268751 · outbound
This paper cites Deep residual learning for image recognition,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models Deep residual learning for image recognition,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8024d572-30ea-4f1f-9a6d-681c19f6d5e5 · outbound
This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models PointNet++: Deep hierarchical feature learning on point sets in a metric space,
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 841c12da-ea8e-484c-81de-6eaec9dbad9c · outbound
This paper cites Attention is all you need,.
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models Attention is all you need,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T22:29:36.869698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.