Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.10691.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:43:56.607858Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:16:15.880348Z
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 e5b46cfe-26e0-41d6-b6a3-5a72d7060095 · inbound
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments cites this paper.
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:56:15.704201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5a075c2-5ba7-45cf-9af0-526dbba9f38a · inbound
The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks cites this paper.
The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:43:56.607858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6ca3c48-7187-4960-908b-39d507823f3c · inbound
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:16:15.882907Z
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.