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#artificial intelligence Preprint Sep 2026

Between the Commits: Process, Error, and Claim Reliability in a Wholly AI-Authored Codebase

We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool built entirely by Claude AI, with no human-authored code or tests, (ii) two code-provenance tracing tools, (iii) three taxonomies for instruction intent, commit provenance, and response reliability, (iv) application of...

D. Leith · 0 citations

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