The humanoid Reflex catches human-thrown boxes using only onboard RGB-D vision, reaching 85.7% catch success in simulation versus 87.9% with privileged box observations, and 65% and 40% on the real robot at 2.5 and 5 m.
The authors built ScholarCatalyst, a benchmark in which 184 researchers annotated 894 early-stage research questions and the prior "catalyst" papers that did or could have advanced 207 recent computer science projects, then evaluated retrieval over a 191K-paper corpus restricted to work published before each project; the strongest system reached only 0.48 Recall@20, agentic search (0.42) did not beat embedding retrieval, and even Claude Fable 5.1, whose training data may include the source papers, reached only 0.51.
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