Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.07764.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:19:49.515453Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T04:30:53.182333Z
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 d84a032f-a3d7-4da2-bffa-b46f63043aba · inbound
Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading cites this paper.
Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:19:49.515453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d47ee6c-ffc6-48cc-a67c-5e4969e36de9 · inbound
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:30:53.185721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b48c4397-1665-4b3b-a606-40b1513e6ed2 · inbound
Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks cites this paper.
Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:20:49.433107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.