Critic's Eye: Review-Grounded Graph Reasoning for Long-Form Motif Discovery

The paper introduces Critic's Eye, a method for computational motif discovery that models a play as a heterogeneous Narrative Topology Graph and performs discriminative inference over global structural evidence. It achieves 84.8% Hit@5 on a benchmark, nearly quadrupling the performance of large foundation models such as Gemini-3-pro-preview. The authors argue that explicit structural priors outperform mere parameter scaling for decoding the complex architecture of long‑form literature.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• llms
• benchmarks
• safety