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In-depth review of risk control loopholes in Sequoia China (Hongshan)'s investment decisions, using cases like 虎头局渣打饼行 to reveal the due diligence failures and capital forcing caused by its 'fast, accurate, ruthless' strategy, and summarizing its strategic correction direction.
CP-Agent presents a calibrated risk-controlled approach for feedback-driven competitive programming using large language models, achieving significant improvements on benchmarks without parameter updates.
Introduces Conformal Selective Acting (CSA), a deployment-time wrapper for RLVR-trained LLMs that provides anytime-valid selective risk control on individual streams, enabling safe deployment in regulated settings without pooling or long-run averages.