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fix(paracosm-doc): coderabbit review. correct Kirfel citation
- Kirfel et al 2025 URL updated to Springer DOI https://link.springer.com/article/10.1007/s43681-025-00718-4 (was Stanford cicl.stanford.edu PDF path that does not exist) - Paper is 'When AI meets counterfactuals: the ethical implications of counterfactual world simulation models', published in Springer 'AI and Ethics' journal — not a Stanford venue
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@@ -7,7 +7,7 @@ Paracosm is a **structured world model for AI agents**, built on AgentOS. Define
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## Where paracosm sits in the world-model landscape
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Paracosm is a structured world model in the sense of [Xing 2025](https://arxiv.org/abs/2507.05169) and the [ACM CSUR 2025 world-model survey](https://dl.acm.org/doi/full/10.1145/3746449), and a counterfactual world simulation model in the sense of [Kirfel et al, Stanford 2025](https://cicl.stanford.edu/papers/kirfel2025when.pdf). It is **not** a generative visual or spatial world model (Sora, Genie 3, World Labs Marble), **not** a JEPA-style predictive-representation model (LeCun's AMI Labs), **not** a multi-agent task orchestration framework (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK), **not** a bottom-up swarm intelligence simulator (MiroFish, OASIS), and **not** a generative-agents library (Stanford Generative Agents, Google DeepMind Concordia). It is a JSON-defined state space + deterministic seeded kernel + LLM-driven events and specialist analyses + HEXACO-personality leaders + universal Zod-validated run artifact spanning turn-loop civilization simulations, batch-trajectory digital twins, and batch-point forecasts.
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Paracosm is a structured world model in the sense of [Xing 2025](https://arxiv.org/abs/2507.05169) and the [ACM CSUR 2025 world-model survey](https://dl.acm.org/doi/full/10.1145/3746449), and a counterfactual world simulation model in the sense of [Kirfel et al, 2025](https://link.springer.com/article/10.1007/s43681-025-00718-4). It is **not** a generative visual or spatial world model (Sora, Genie 3, World Labs Marble), **not** a JEPA-style predictive-representation model (LeCun's AMI Labs), **not** a multi-agent task orchestration framework (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK), **not** a bottom-up swarm intelligence simulator (MiroFish, OASIS), and **not** a generative-agents library (Stanford Generative Agents, Google DeepMind Concordia). It is a JSON-defined state space + deterministic seeded kernel + LLM-driven events and specialist analyses + HEXACO-personality leaders + universal Zod-validated run artifact spanning turn-loop civilization simulations, batch-trajectory digital twins, and batch-point forecasts.
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Full taxonomy mapping lives at [docs/positioning/world-model-mapping.md](https://github.com/framersai/paracosm/blob/master/docs/positioning/world-model-mapping.md).
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