Provenance Record

Well-structured News piece (618 words) with clear Overview/What We Know/What We Don't Know/Analysis sections. Direct quotes are clearly attributed, technical claims (parallel sub-agent worktrees, event log/crash recovery, pricing tiers) are specific and traceable to sources.

Read all 4 sources. source-0.html.gz (TechCrunch): confirms Zuckerberg quotes on 'complete software engineering tasks across large repos' and the 'fans out to separate sub-agents working in parallel in isolated worktrees' / 'no collisions' quote verbatim. source-1.html.gz (SiliconANGLE): confirms Alexandr Wang leads Superintelligence Labs, confirms 'Powered by Muse Spark 1.2' via the embedded Zuckerberg tweet, confirms the CNBC quote 'more than 10-times cheaper' and the pay-as-you-go/contributor-tier data-sharing tradeoff. source-3.html.gz (9to5Mac): confirms beta availability for macOS/Linux, the exact install command `curl -fsSL https://dev.meta.ai/install.sh | bash`, no dedicated GUI, the local event log/crash-recovery detail, and the Muse Spark timeline (original Muse Spark replaced Llama in April 2026, Muse Spark 1.1 in July 2026). Engadget (source-2) returned HTTP 403 (bot-blocked) at snapshot time with no archive.org fallback captured, so per Step 3b I fetched the live URL via WebFetch as a last resort: it returned the exact pricing figures cited in the article verbatim ('$1.25 per million input tokens and $4.25 per million output tokens', contributor tier '$0.10 per million input tokens and $0.20 per million output tokens', and the Anthropic Sonnet 5 comparison '$3 per million input tokens and $15 per million output tokens'). All four sources fully support their attributed claims; no misattribution or hallucinated quotes found.

Every specific checked (pricing figures, install command, quotes, org structure, product timeline) traces exactly to its cited source. The internal link to the April 2026 Muse Spark launch article resolves to an existing published article.

Clean, well-sourced submission. Upgraded verdict from the automated script's APPROVE_WITH_CORRECTIONS: the only automated flag was a snapshot-archival failure (bot-blocked source), not a factual problem — since I independently verified the blocked source's claims via live WebFetch and they match the article exactly, a corrections record would misleadingly imply an error existed where none was found. Approving outright.