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The paper proposes a deterministic framework that compiles games specified in VGDL into Dynamic Structural Causal Models to guarantee causal fidelity, enabling transparent causal pathways for counterfactual reasoning and causal reinforcement learning.
This paper provides a mathematical analysis of the Jacobian lens (J-lens) for reading verbalizable representations from language models, identifies its sparse causal geometry, and proposes improvements to enhance concept readout.
Domino is a speculative decoding framework that decouples causal dependency modeling from autoregressive drafting, using a parallel backbone and lightweight causal refinement head to achieve up to 5.49× end-to-end speedup on Qwen3 models.
This paper provides an algebraic formalization of the Theory of Dyadic Morality using structural causal modeling, and demonstrates applications to AI policy design.
CausalCine is a new academic framework for real-time, interactive multi-shot video generation that uses causal modeling and dynamic memory routing to improve cross-shot coherence in autoregressive models.