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第111行： − 这两条路径的一致性在粗粒化领域中非常重要，也被反复提及 <ref name=":1" /> <ref name=":7" /> <ref name=":12" /> +
→粗粒化与时间演化算子的可交换性
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这两条路径的一致性在粗粒化领域中非常重要，也在成块性和因果抽象等工作中被反复提及 <ref name=":1" /> <ref name=":7" /> <ref name=":12" />
<ref name=":23">Barreto, André MS, and Marcelo D. Fragoso. "Lumping the states of a finite Markov chain through stochastic factorization." IFAC Proceedings Volumes 44.1 (2011): 4206-4211.</ref>
<ref name=":23">Barreto, André MS, and Marcelo D. Fragoso. "Lumping the states of a finite Markov chain through stochastic factorization." IFAC Proceedings Volumes 44.1 (2011): 4206-4211.</ref>
<ref name=":24">Otsuka, Jun, and Hayato Saigo. "Process theory of causality: a category-theoretic perspective." Behaviormetrika 51.1 (2024): 21-36.</ref>
<ref name=":24">Otsuka, Jun, and Hayato Saigo. "Process theory of causality: a category-theoretic perspective." Behaviormetrika 51.1 (2024): 21-36.</ref>