Explore/agent app/Positioning manuscripts in the scientific landscape with agentic AI
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Jiawen Chen, Zichen Zhang, Bingxuan Li, Quan Sun, Yiyan Zhang, Edric Tam, Jinjie Lin, Didong Li, Yun Li, Bingxin Zhao/Positioning manuscripts in the scientific landscape with agentic AIUnknown

PASS (Publication-oriented Agentic Scientific System) is an agentic AI platform that analyzes scientific manuscripts to predict suitable publication venues and assess impact potential, helping researchers navigate the publication process. It is intended for academic authors and publishing professionals.

agent app
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OverviewActivity52wAlternativesDocs
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Project healthUnknownNo activity data.
Production readinessResearch / EarlyBest for exploration and prototyping.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 0 days observed0 not enough history
snapshots
not enough history
Repository activity · 0 days observednot enough history from pushed_at
inactivepushed
not enough history
not enough history
Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language
License
Sourcearxiv
Open source✗ No
Commercial use
Docs
Demo

AgentHub Score

55
Score 55/100
Below average

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