Who it is forA researcher preparing a submission who wants to catch fabricated references and mismatched results before sending the paper out.
The problemA draft can contain citations that do not exist, citations that do not support the claim, or numbers that differ from the experiment results.
The outcomeA line-by-line citation report (existence and support labels), a number fact-check against the experiment record, and reviewer and meta-review comments.
What you need first
- A computer where the Polaris desktop app can run (the README says new releases are desktop-only)
- A model source: an agent you already use, such as Claude Code, Codex or Gemini CLI, or a model API key
- For experiments: SSH access to a GPU server and your own SSH credentials
- A research direction or topic you want to explore
Steps
- Open the Paper Writer project for your draft in Polaris so the references and experiment runs are linked.
- Start Paper Review on the manuscript.
- Read the citation report and check each line marked fabricated or unsupported.
- Compare the flagged numbers with the experiment record and correct the draft.
- Read the multi-perspective reviewer comments and the meta-review before deciding on submission.
Prompt for your agent
Using the Polaris repo at ZJU-REAL/Polaris, run Paper Review on the manuscript <paper project name>. Expected output: a citation report with existence and support labels and a number fact-check list. Verify that any citation marked fabricated is removed or fixed before the paper is marked as passing.
Caveat. The README says citation support is checked against the library, Semantic Scholar and OpenAlex, so a paper that cites sources outside those will get a weaker check.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for ZJU-REAL/Polaris and "Fact-check a draft paper's citations and numbers"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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