Unverified50% confidenceFactExact time
For long-horizon tasks, sim-to-real transfer error compounds with the compounding error, so extensive real-machine validation is often needed before deployment.
1
Sources
50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLong-sequence tasks tend to have larger variance because errors accumulate along the time axis, requiring a greater number of repeated experiments to reduce uncertainty.75% similarUnverifiedLow latency and high-quality inference are often difficult to achieve simultaneously, and a front-end/back-end separation architecture resolves this contradiction through tiered task routing.75% similarUnverified传统ReAct模式在复杂场景下存在瓶颈,长链路推理中的误差累积效应会导致任务失败率上升75% similarUnverifiedRounding errors in floating-point arithmetic and the nondeterminism of parallel execution are classic difficulties for formal verification.74% similarUnverifiedThe difficulty of maintaining coherence in long tasks stems from errors accumulating with each step; 60 questions means at least 60 independent decisions, each of which could go off track.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1119926API
curl https://kongchang.com/api/v1/knowledge/claims/1119926MCP
get_claim(id=1119926)