Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM4CP: Adapting Large Language Models for Channel Prediction
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.14440.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T21:07:40.256977Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T21:07:46.953187Z
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 b7b7eb27-7cb7-4b71-8660-acd61a1748b6 · inbound
Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence cites this paper.
Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence LLM4CP: Adapting Large Language Models for Channel Prediction
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T21:07:46.954848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.