Bibliography

Primary sources for the theory pages (author manuscripts, October 2026):

• Yamagiwa, M. (2026). Foundations of Causal Automata: A Physics-Inspired Framework for Directed Acyclic Graph Discovery.

• Yamagiwa, M. (2026). Causal Automata: From Intuition to GPU Physics — A Beginner-Friendly Guide to Directed Acyclic Graph Discovery.

• Yamagiwa, M. (2026). Bayesian Automata and Network Evolution — Synthesizing Cellular Automata, Message Passing, and Generative Topology.

Related background

• Pearl, J. — belief propagation / local message passing on Bayesian networks (\(\pi\) / \(\lambda\) messages).

• Spirtes, Glymour, Scheines — PC algorithm and constraint-based causal discovery.

• GOLEM and related continuous DAG optimization (as implemented in gCastle for the project benchmarks).

Software

• This package: causal-automata v0.1.0 — NumPy prototype (causal_automata.bayesian) and JAX @jit port (causal_automata.jax_core).

• Benchmarks via gCastle PC and GOLEM.