Paper Citation Record · LEDGER

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.18125.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.18125 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:20:08.787993Z

measured 0 of 1 external citation measurements

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 5892cf16-eafd-4084-be6e-8b68d7712d67 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.787993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.