ChronoQG: Towards a Temporally Expressive and Hop-Bounded Benchmark for Temporal
Knowledge graph question generation (KGQG) aims to generate natural-language questions from structured graph evidence. Existing KGQG benchmarks, however, are mostly built on static knowledge graphs and do not encode the temporal scopes of g
https://arxiv.org/abs/2607.14770v1 ↗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
ai
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 ↓ declining
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Correct facts used on the next screening or memo.
People
X
Xuemeng Liu
1.0
low confidence
Z
Zhengpin Li
1.0
low confidence
W
Wanpeng Tang
1.0
low confidence
H
Haotong Xie
1.0
low confidence
W
Wentao Zhang
1.0
low confidence
Activity & evidence
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