wanshuiyin / Anti-Autoresearch
Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.
Why this job: works in the areas we cover, but does not say which job it does
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 180
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 22 merged
- 0 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 99%
- TeX 1%
- Shell <1%
Topics
- ai-generated-content
- ai-scientist
- autoresearch
- forensics
- llm-agents
- peer-review
- research-integrity
- ai-research
- aris
- claude
- claude-code
- claude-code-skills
Project record
- JobOther AI tools
- StatusListed
- Commits72
- Forks9
- Watching0
- Stars in 28 days+18
- CreatedJun 26, 2026
- First seen by usNov 7, 2026
- CheckedNov 10, 2026