{"total":2,"items":[{"citing_arxiv_id":"2606.17726","ref_index":10,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Gray-Box Optimization using Optimism in the Face of Uncertainty","primary_cat":"math.OC","submitted_at":"2026-06-16T09:41:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A new optimistic lower-confidence-bound method for gray-box optimization that improves regret bounds for linear stochastic bandits via a recent multi-output least-squares confidence set result.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2507.13662","ref_index":7,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Iteratively Learning Muscle Memory for Legged Robots to Master Adaptive and High Precision Locomotion","primary_cat":"cs.RO","submitted_at":"2025-07-18T05:13:02+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Integrates iterative learning control with a torque library to enable high-precision adaptive locomotion on bipedal and quadrupedal robots, reducing tracking errors by up to 85% and achieving over 30x faster control rates.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}