Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
D\"IoT: A Federated Self-learning Anomaly Detection System for IoT
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1804.07474.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T17:52:07.809509Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T17:56:06.882663Z
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 be62653c-2204-4435-818a-975a892b2da1 · inbound
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques cites this paper.
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques D\"IoT: A Federated Self-learning Anomaly Detection System for IoT
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T17:56:06.886544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.