pith. sign in

Integrity report for Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modelling

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

arXiv:1704.03507 · pith:2017:3WNZ2FLANBKL3N7UGIAC5TECZV

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/3WNZ2FLA/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.