pith. sign in

Integrity report for Unsupervised machine learning to analyse city logistics through Twitter

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

arXiv:1906.07529 · pith:2019:SWIQW52CDBDWR55RRPKKVCP7BH

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/SWIQW52C/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.