Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.07857.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:58:58.678795Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:16:22.474752Z
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 5f7bd45d-d83e-42ff-9137-fe0b92d2f50f · inbound
Scheduling Policies for Federated Learning in Wireless Networks cites this paper.
Scheduling Policies for Federated Learning in Wireless Networks In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:58:58.678795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ababa7e-dd40-4635-8139-8fc16ae47648 · inbound
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data cites this paper.
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:38:35.020490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b176b9e-9ff3-42c7-a27d-0987447f0452 · inbound
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services cites this paper.
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Reference 84
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:06:55.177689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.