Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.09636.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:27:28.749915Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:35:41.853461Z
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 f2ea72e4-9b78-4f31-a718-3cd09233f6a2 · inbound
CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining cites this paper.
CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:27:28.749915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94b4f9c6-26e5-42d8-8ee3-97508debc9ad · inbound
Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks cites this paper.
Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:35:41.856174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.