3 papers
cs.CL2026
ProvenAI: Provenance-Native Traces of Evidence in Generated Answers
Mohammad Faizan, Dalal Alharthi
Retrieval-augmented systems routinely present citations alongside generated answers, yet a citation does not confirm that the corresponding source meaningfully shaped the output. T…
cs.SI2026
When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method
Sai Hemanth Kilaru, Sriram Theerdh Manikyala, Raghav Upadhyay +3
Large language models (LLMs) are increasingly used as substitutes for human subjects in behavioral simulations, including synthetic social network generation. Yet it remains unclea…
cs.MA2026
Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies
Ethan Parks, Dalal Alharthi
Practitioners deploying multi-agent large language model (LLM) systems must currently choose between communication topologies such as chain, star, mesh, and richer variants without…