{"total":1,"items":[{"citing_arxiv_id":"2605.15216","ref_index":66,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations","primary_cat":"cs.AR","submitted_at":"2026-05-12T09:44:32+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"BMRUs enable analog recurrent neural network hardware via discrete outputs that suppress noise 20-fold, with one-to-one parameter-to-circuit mapping and linear power scaling for recurrence.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}