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Samuele G. Marro

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Open access Oct 2026

Development of a messenger RNA therapy for schizophrenia.

Carriers of rare protein-truncating variants in schizophrenia risk genes were identified in 30,813 patients of a US healthcare system and an X-linked pattern of inheritance between the PTV and severe mental illness was found.

N. Simons, Vibhuti Patel, Hao-Yuan Li et al. · 0 citations
Open access Sep 2026

KMT2E recruitment by H3 serotonylation regulates neurodevelopmental chromatin dynamics

Histone H3 Gln 5 serotonylation (H3Q5ser) is a recently identified epigenetic modification in brain that modulates reader interactions with adjacent H3 Lys 4 trimethylation (H3K4me3) to promote transcriptional permissiveness1,2. However, whether H3K4me3Q5ser and its associated binding proteins regulate neurodevelopment...

Jennifer C. O'Chan, Benjamin H. Weekley, Ce-Li Yang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents

In decentralized consumer-to-consumer (C2C) marketplaces, people list goods, negotiate with strangers, and rate one another, so trust rests on reputation. Large language model (LLM) agents now act for users, raising risks to their money, privacy, and reputation. We introduce BazaarBench, a simulated C2C marketplace and...

Ziyan Wang, Shu-Qing Shi, James Oldfield et al. · 0 citations

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI

This work proves that the answer is negative: drawing from incomplete contract theory, it is formally shown that when contracts cannot distinguish all relevant future contingencies, there is a strictly positive welfare loss that no realistic mechanism can eliminate.

Xuanqi Huang, Charlie Tharas, Samuele G. Marro et al. · 2 citations
Review Jul 2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

A user-centric framework for systematically auditing system prompts in AI systems, AISPA is introduced, a user-centric framework for systematically auditing system prompts in AI systems that examines specific parts of a system prompt and evaluates them along eight dimensions that matter to users.

Xiangning Lin, Shenzhe Zhu, Shu Yang et al. · 0 citations

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