Author

R. Porcedda

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Preprint Sep 2026

Equitable Partition Realizability for Dynamics-preserving and Privacy-aware Network Reconstruction

Degree-sequence realizability is the combinatorial basis of configuration models, but degree constraints alone do not ensure the preservation of graph dynamics. Hence, configuration models are unable to recover centrality measures, unless these are strongly correlated with the degree sequence. To address this matter, w...

R. Porcedda · 0 citations

#artificial intelligence Preprint Sep 2026

Jev thinks"I don't know'', but doesn't say it: Introducing Sys1Cal-v1 Dataset for Probability Calibration

A peculiar behaviour is discovered in Jev answers that can be explained by assuming that Jev suppresses a third truth value, going beyond True and False, which suggests that, even in binary decisions, Jev wants to answer with a third option.

R. Porcedda · 0 citations

Jul 2026

Towards Agentic Agent-based Models: Feasibility, Performance, and Statistical Model Checking

This work extends the classical Schelling segregation model with a hybrid population: ordinary agents classify neighbors using the standard symbolic rule, while one agent delegates this task to an LLM through tool calls, providing a minimal but controlled setting where the semantic, operational, and computational behav...

Stefano Blando, Emanuele Guerrazzi, R. Porcedda et al. · arXiv.org · 0 citations