Characterizes the distributional mean-field limit of co-evolving latent space networks with feedback, including empirical measures and graphon convergence, via a conditional propagation of chaos result.
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BOUNDARY_SYNC defines CAF as the ratio of conditional to baseline Jensen-Shannon divergence to quantify communication-induced representational coupling in multi-agent LLMs, reporting homogenization from text communication (CAF=0.803).
Embedding epidemic contact networks via Johnson-Lindenstrauss projections allows estimating the infection source as the node nearest the centroid of infected nodes, achieving meaningful accuracy in simulations on Erdős-Rényi graphs.
Code embeddings combined with the Expressed-Private Opinion model produce trajectories that quantify developer influence and consensus formation across three open-source repositories.
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Finding Patient Zero via Low-Dimensional Geometric Embeddings
Embedding epidemic contact networks via Johnson-Lindenstrauss projections allows estimating the infection source as the node nearest the centroid of infected nodes, achieving meaningful accuracy in simulations on Erdős-Rényi graphs.