Every numerical claim in RoughVolLab is backed by a committed, reproducible run — and the code is held to the same standard. This is the public record of the project's internal quality audit: how findings were verified before they were trusted, what was fixed, and what remains open.
Findings were not taken on trust. Each was adversarially verified against the current code before any fix — line-checked, and where the claim was numerical, reproduced by Monte Carlo. Every fix is then pinned by a regression test proven to fail on the pre-fix code, so a silent regression can't slip back behind a green suite.
One issue at a time; each closed by a public pull request with the reasoning, the diff, and the verification in the open. The full test suite — 265 passed, 2 skipped — runs on every change.
Both sat in layer1_rough_vol.py, the quarantined teaching engine (nothing downstream imports it; no published number depends on it). ROADMAP issue L1-1:
RVL-001 — fbm_hybrid over-subtracted near-diagonal kernel terms, so the simulated variance undershot (Var(BH₁) ≈ 0.91 instead of the discrete target). RVL-002 — the rough-Bergomi variance used the continuum compensator t2H rather than the discrete variance, so the forward variance E[Vt]/ξ₀ dipped to ~0.35. Both were rewritten in place to the validated discrete-variance construction.
The audit's confirmed higher-severity findings — the two High-severity and the Medium ones — each closed by its own reviewed pull request:
The nine above resolve every confirmed High- and Medium-severity finding — all fixed and merged. The audit also logged a longer tail of lower-priority items:
Documentation polish, cosmetic consistency, and defensive hardening — tracked in docs/AUDIT_TAIL.md, the tail's durable system of record (5 further cosmetic items were retired 2026-07-25 as unrecoverable-detail; see D48). Nothing load-bearing is left open, and nothing is hidden: items close gradually in the open, one reviewed PR at a time.