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Reflective Reasoning Transformer (R2T) Prototype

This project is a prototype for the R2T, a model trained with Causally-Grounded Dynamic Reasoning Pretraining (CG-DRP). The goal is to create a model with provably higher reasoning faithfulness by training it on causal reasoning graphs.

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🧠 R2T Prototype: An LLM pre-trained on causal graphs (not just text) to build provably faithful step-by-step reasoning.

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aiai-faithfulnesscausal-graphscausal-inferencechain-of-thoughtdeep-learninginterpretabilityllmmachine-learningnlppre-trainingpytorchr2treasoningtransformers

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