Cross-Cutting Security Analysis of LLM-Generated Code via Metamorphic Testing an
Large language models (LLMs) frequently generate code with security vulnerabilities, yet these weaknesses are rarely isolated: they often span multiple concern areas simultaneously, reflecting the cross-cutting nature of security in softwar
https://arxiv.org/abs/2607.12089v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
llm
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↑ improving
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Correct facts used on the next screening or memo.
People
Z
Zedong Peng
1.0
low confidence
C
Chenggang Wang
1.0
low confidence
S
Shangyue Zhu
1.0
low confidence
Chris Osborn