Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models
- 类型：arxiv
- 标识：2609.08418
- 链接：https://arxiv.org/abs/2609.08418
- 主分类：engineering
- 形态：method
- TLDR：Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the cost of executable environments, reliable multi-turn supervision, and access to strong teachers. We present a data-centric framework that addresses these bottlenecks through five complementary systems: Choulea analyzes hidden reasoning signatures, SkyReal reduces teacher-sampling cost, Hongzwang bypasses API restrictions on teacher execution, PSBreakup restores capabilities weakened by model merging, and Kreator converts expert interventions in
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-14-agent-rag-longcontext-candidates.json