AI & ML
From Border-Agnosticism to Causal Rewrite Systems
arXiv cs.DC0 views
arXiv:2610.23351v1 Announce Type: cross Abstract: Causal Graph Rewriting was recently introduced as an evolution of Causal Graph Dynamics to allow for a controlled form of asynchronism in these dynamical systems with dynamical graphs. In this context, the notion of borders---akin to dangling edges---has gained increasing importance. In this paper, we re-examine these borders, interpreting them as missing information. This perspective adds structural rigor to the framework, allowing border-agnostic causal graph rewriting to be reformulated as a rewriting system rather than a dynamical system. This shift represents a crucial step toward facilitating the treatment of reversibility.
Source：https://arxiv.org/abs/2610.23351PreviousScaleRAN: A Runtime for Elastic GPU Resource Management in AI-RANNextAgentic AI for Heterogeneous System Design Across Chip, Scale-Up, and Scale-Out Domains
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