Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
pCAMP: Performance Comparison of Machine Learning Packages on the Edges
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.01878.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:09.923832Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-20T20:39:00.012768Z
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 8f2ca840-f60a-4911-bf2d-dbf7bf204d07 · inbound
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning pCAMP: Performance Comparison of Machine Learning Packages on the Edges
Reference 168
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:03:09.923832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation affe5817-acfb-4e22-91af-a0176c4666e0 · inbound
Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems cites this paper.
Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems pCAMP: Performance Comparison of Machine Learning Packages on the Edges
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:39:00.014726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.