Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.10630.
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 2026-08-07T14:44:03.391437Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:46:09.792436Z
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 9e8192e2-ad3a-4f3a-a1c6-d1096c387f2d · inbound
LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines cites this paper.
LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:03.391437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 331dc49f-3656-496b-aba0-4cb325305c80 · inbound
Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.
Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:33:55.689365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e44b21ee-0c5d-467e-a1b0-f15045aae727 · inbound
LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks cites this paper.
LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:37:33.202262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63e83ebe-c812-46ec-87a0-25116c77ff55 · inbound
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction cites this paper.
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:46:09.794396Z
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.
Observation 16c8890e-3ff0-4d91-83f9-ae5b787e69e3 · inbound
AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G cites this paper.
AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:01:49.035323Z
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.