A general framework for cyclic and fine-tuned causal models and their compatibility with space-time
V. Vilasini, Roger Colbeck

TL;DR
This paper introduces a comprehensive causal modeling framework that encompasses cyclic, fine-tuned, and non-classical causal influences, compatible with space-time structures, and applicable to quantum and post-quantum theories.
Contribution
It develops a theory-independent framework for causal models that includes cyclic and fine-tuned scenarios, and establishes conditions for their compatibility with space-time.
Findings
Identifies classes of causal loops and their space-time compatibility
Provides conditions to prevent superluminal signalling in complex causal structures
Introduces higher-order affects relation for causal discovery in fine-tuned models
Abstract
Causal modelling is a tool for generating causal explanations of observed correlations and has led to a deeper understanding of correlations in quantum networks. Existing frameworks for quantum causality tend to focus on acyclic causal structures that are not fine-tuned i.e., where causal connections between variables necessarily create correlations between them. However, fine-tuned causal models (which permit causation without correlation) play a crucial role in cryptography, and cyclic causal models can be used to model physical processes involving feedback and may also be relevant in exotic solutions of general relativity. Here we develop a causal modelling framework capable of dealing with these general scenarios. The key feature of our framework is that it allows operational and relativistic notions of causality to be independently defined and for connections between them to be…
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