pith. sign in

Integrity report for Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:1708.08670 · pith:2017:SM3GTZNU34OHXBJEQFZWOX7GXU

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/SM3GTZNU/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.