Run unit tests on your manuscript. Check every manuscript claim against its cited evidence. Human-first, AI-second, Zotero-audited, local-first.
README
Check every claim before you cite it.
CiteVahti tests whether a manuscript claim is supported by the paper cited for it. You rate first. AI gives a blinded second opinion. You adjudicate. The Zotero write-back is previewed, confirmed, audited, and undoable.
A product of Vahtian. Free and local-first for researchers; Vahtian sells paid infrastructure to organizations that need auditable citation integrity at publication scale. The open Apache-2.0 core never paywalls a researcher's ability to verify their own manuscript.
The human or panel is always the decider. The AI is a blinded, advisory second rater only — its values are advisory, never decisive, and never silently propagated.
Use the browser panel — no terminal required. Paste a paragraph, rate whether each
cited paper supports its claim, and verify your first claim in ~10 minutes.
→ Getting started · docs/QUICKSTART.md
Install the MCP server and run claim tests from Claude, ChatGPT, Codex, or the VS Code inline review loop. → Path A — chat-driven
Export an auditable claim-evidence trail for methods reporting, then install.
→ docs/REPORTING.md
Beta. Free to use for testing, research feedback, and early development. Pricing for hosted and advanced features may come later; a free local/community version is intended to remain available.
Full status & capabilities — what's complete in v0.16.0, the two co-primary surfaces,
the literature sources, and the VS Code adapter: docs/STATUS.md.
The journey, in three screens: paste a paragraph, rate each claim against the paper cited for it, and let the AI's second opinion appear only after you've rated.
![CiteVahti highlights c