Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.18921.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:19:35.760934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T03:22:28.141248Z
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 f660f093-b257-448c-b549-4a27cb6e2981 · inbound
The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities cites this paper.
The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:19:35.760934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 486ba2fc-904b-4fe0-9596-c5b2b20f88ef · inbound
AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results cites this paper.
AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:22:28.143102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e478f63e-9aef-4c64-8a20-b3b57d5ac7ba · inbound
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits cites this paper.
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:40:17.435085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3796b1a-f0bc-4e92-a908-bdbe0898d0e7 · inbound
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:56:56.689467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50002ef9-0b0e-4598-af83-00b8b7afc9d4 · inbound
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning cites this paper.
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:33:58.028138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e791c27-2820-460d-9d6f-b51d36decc48 · inbound
MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning cites this paper.
MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:36:20.568916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9045169b-7899-456b-ad3f-883829e7cd44 · inbound
DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance cites this paper.
DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:36:44.259081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9e9b86e1-91f2-427f-8e2c-cb61a331191e · inbound
Continuous Semantic Caching for Low-Cost LLM Serving cites this paper.
Continuous Semantic Caching for Low-Cost LLM Serving Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:03.221904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1aef7bb3-bcf6-46bc-a2a9-24b6c774a0fe · inbound
PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship cites this paper.
PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T22:07:49.277629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.