Sep 2026· Zenodo (CERN European Organization for Nuclear Research)· 1 references
Abstract
Materials for an exploratory evaluation of Warrant (https://doi.org/10.5281/zenodo.23029803). Twenty small Python command-line tasks, each with plain-language promises, visible checks, hidden checks, an audit suite, a reference implementation and deliberately broken implementations; the validity gates; the harness; Part 1, a seeded-defect evaluation of 160 broken implementations under visible-only acceptance and under Warrant's gate; and Part 2, 40 runs of Claude Code driving gpt-oss:20b under the two acceptance rules, with snapshots, transcripts, session logs, Warrant ledgers and the analysis. The evaluation is exploratory and not pre-registered. The tasks, checks and implementations were written by AI agents at the author's request and reviewed by an AI model, not by an independent person. Development was AI-assisted, and the commits carry Co-Authored-By trailers.
Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...
O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al.· Zenodo (CERN European Organi...· 465 citations
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