Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.13379.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:46.995081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:01:15.236320Z
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 5f7ce621-c185-4e19-ad2f-12da7d400444 · inbound
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication cites this paper.
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:56:46.995081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3839f0cf-d91b-4e74-9180-dc107c1863d9 · inbound
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application cites this paper.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:22.229852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f80c8880-2112-403d-9109-49d94ba124de · inbound
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models cites this paper.
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:06:07.523124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 48190f17-9809-4349-b8bb-339dee250bea · inbound
Fidelity Where it Matters: Site-Specific Nonuniform Refinement for Wireless Digital Twins cites this paper.
Fidelity Where it Matters: Site-Specific Nonuniform Refinement for Wireless Digital Twins ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:01:15.238278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f9ed9a70-9712-497f-a482-5f9c3890e55b · inbound
MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation cites this paper.
MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:58:23.776847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.