[2603.21340] ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture

Computer Science > Artificial Intelligence arXiv:2603.21340 (cs) [Submitted on 22 Mar 2026] Title:ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture Authors:Seth Dobrin, Lukasz Chmiel View a PDF of the paper titled ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture, by Seth Dobrin and 1 other authors View PDF Abstract:This paper presents ARYA, a composable, physics-constrained, deterministic world model architecture built on five foundational principles: nano models, composability, causal reasoning, determinism, and architectural AI safety. We demonstrate that ARYA satisfies all canonical world model requirements, including state representation, dynamic prediction, causal and physical awareness, temporal consistency, generalization, learnability, and planning and control. Unlike monolithic foundation models, the ARYA foundation model implements these capabilities through a hierarchical system-of-system-of-systems of specialized nano models, orchestrated by AARA (ARYA Autonomous Research Agent), an always-on cognitive daemon that executes a continuous sense-decide-act-learn loop. The nano model architecture provides linear scaling, sparse activation, selective untraining, and sub-20-second training cycles, resolving the traditional tension between capability and computational efficiency. A central contribution is the Unfireable Safety Kernel: an architecturally immutable safety boundary that cannot be disabled or cir...