Unverified50% confidenceFactExact time
The paper attributes the performance gains to three aspects: offloading the unstable reasoning process into deterministic code, task routing, and strict answer format constraints.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedReasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.75% similarUnverifiedThe more clearly instructions are written, the lower the reasoning intensity the agent requires, and the more stably it runs.74% similarUnverifiedThe paper formalizes the problem as: minimizing expected inference cost subject to meeting a target performance constraint.74% similarUnverified过度追求速度可能牺牲代码质量、上下文理解深度或复杂任务完成度，真正挑战在于保持输出质量的前提下提升响应速度73% similarUnverified低延迟与高质量推理往往难以兼得，前后台分离架构通过任务分级路由解决这一矛盾72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1050040API
curl https://kongchang.com/api/v1/knowledge/claims/1050040MCP
get_claim(id=1050040)