Latent Trajectory Discrimination for AI-Generated Text Detection
Most existing approaches to AI-Generated Text Detection (AIGTD) treat documents as static objects and base their decisions on aggregate statistics or globally compressed embeddings. However, this perspective overlooks the inherently dynamic
https://arxiv.org/abs/2607.14967v1 ↗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
Outside
Outside your target regions — 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
▸ Add / edit details
Correct facts used on the next screening or memo.
People
G
Gianluca Bonifazi
IT
Gianluca Bonifazi is an Assistant Professor at the Department of Information Engineering (DII), Polytechnic University of Marche (
4.8
low confidence
C
Christopher Buratti
2.4
low confidence
M
Michele Marchetti
IT
Michele Marchetti received his M.Sc. degree in IT Engineering from the Polytechnic University of Marche in July 2021 and earned hi
2.0
low confidence
F
Federica Parlapiano
2.0
low confidence
G
Giulia Quaglieri
2.0
low confidence
D
Davide Traini
2.0
low confidence
D
Domenico Ursino
2.0
low confidence
L
Luca Virgili
IT
2.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Kanishk Parashar
Ardis AI
· Inactive
Transform your text data into a searchable knowledge graph
founders not scraped yet
Pigeon
· Active
AI-powered document automation: collect, review, extract, and sync.
founders not scraped yet