Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.05826.
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 2026-08-10T20:13:14.592654Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:35:55.910499Z
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 3351dc53-169c-4b2b-b95d-6b84bf1c3111 · inbound
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading cites this paper.
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:35:55.913433Z
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 5ec3ad46-cf37-4ed3-98f2-c46d706e07bb · inbound
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models cites this paper.
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:13:14.592654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7abc262e-0c74-49b5-b4b3-2dbab7d53f38 · 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 Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:19:49.632041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 402ce334-bb6f-4dc8-8df4-87e5b7016ac5 · inbound
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Reference 160
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:13:59.149451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.