Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.18125.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:26:33.399285Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T11:48:15.153723Z
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 df0926c3-e866-4cad-9c06-9a3179d52292 · inbound
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:26:33.399285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a91a9e8-51bb-48fd-9b53-a2efb3be9711 · inbound
Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration cites this paper.
Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:31:06.585965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0272dd40-9276-455b-88bc-e83fea68187e · inbound
Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering cites this paper.
Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:48:15.155325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.