# wanshuiyin/Anti-Autoresearch

<https://repo.masters-masters.com/en/repos/wanshuiyin/Anti-Autoresearch>

[Home](https://repo.masters-masters.com/en) › [wanshuiyin](https://repo.masters-masters.com/en/owners/wanshuiyin) › [Anti-Autoresearch](https://repo.masters-masters.com/en/repos/wanshuiyin/Anti-Autoresearch)

wanshuiyin/Anti-Autoresearch has 176 stars on GitHub. Its RepoMasters card: Prototype tier. Don't trust an autoresearch paper at face value. Reviewer-side…

| Field | Value |
| --- | --- |
| Owner | [wanshuiyin](https://repo.masters-masters.com/en/owners/wanshuiyin) |
| Stars | 176 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | ai-generated-content, ai-scientist, autoresearch, forensics, llm-agents, peer-review, research-integrity, ai-research, aris, claude |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) |

## Repository

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…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
