The reviewed record of science sign in
Pith

Integrity report for Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages

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

arXiv:2304.06459 · pith:2023:7OHQRNUO3K4DZJ7Y4CRDA4XVCB

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/7OHQRNUO/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.