Causal discovery algorithms and tools for implementing new ones

Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556

Bridging generative world models and causal reasoning for realistic yet adversarial safety-critical scenario generation.

The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Active Bayesian Causal Inference (Neurips'22)

Causal RL Environments Simulator

Step-by-step causal inference — method selection, assumptions, and robustness checks

Knowledge-Augmented Language Models for Cause-Effect Relation Classification https://arxiv.org/abs/2112.08615

永久性记忆，因果记忆系统让AI Agent记住200万字符 | 13维因果推理+四层结构+Wiki | OpenClaw/Hermes记忆开源项目 | AI Agent记忆

Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models

🔥 让AI像专家一样诊断 | 3种创新方法 | 跨领域通用 | 精美可视化

Curated, annotated research on reasoning gaps in large language models — temporal reasoning, causal reasoning, and beyond.

Hierarchical Causal Latent State Machines for Object-Centric World Modeling

Code Repository for CausalVLBench (EMNLP 2025 Main)

Causal reasoning evaluation of LLMs with human benchmark

evaluating the causal strength between cause and effect

🐘 Local-first causal knowledge graph for AI developer memory. Tracks decisions, rejected alternatives & reasoning — not just facts. MCP-native for Claude, Cursor & VS Code.

MSc Thesis Project – Framework for Causality-Aware Structured Multi-Step Reasoning in Legal Argument Generation – AI Systems Engineering, supervised by Prof. R. Pietrantuono and PhD Cristian Mascia (2026)