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NWM outperforms traditional memory systems by leveraging narratological structures, enabling writers to navigate complex story states with unprecedented accuracy.
MAGNET achieves a 50% reduction in hallucinations in long-form narratives by leveraging a multi-agent approach that grounds characters in a shared world state.
N-VSSM outperforms existing models in long-form audio drama, achieving higher narrative fidelity with significantly lower computational costs.
