Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.00124.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:31.488588Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:33:56.581597Z
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 4bfbcfde-d284-46e6-ae96-e2e685333831 · inbound
Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model cites this paper.
Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:25:31.488588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ccdd4ae-f544-4872-bc56-be40aa4072c8 · inbound
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
Reference 139
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:15:31.910759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d878bff9-9d9d-4004-a26f-0a1bb9fd4d34 · 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 Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:33:56.584830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.