Unverified50% confidenceTradeoffExact time
The additional challenge of document parsing routing compared to LLM routing is that the input is an image rather than text, making feature extraction more costly; how to complete routing decisions without significantly increasing end-to-end latency is a key technical barrier.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPrecisely locating mention boundaries is more challenging than judging passage topics, as reflected in the performance gap between mention-level and passage-level metrics.71% similarUnverifiedThe planning phase requires deep contextual understanding, cross-file dependency analysis, and complex reasoning, but has a lower invocation frequency; the execution phase requires high-frequency, stable code generation and tool calls, and is more sensitive to speed and cost.70% similarUnverified是否将未铺装的越野小径（track）纳入可达范围会显著影响难抵极点的计算结果70% similarUnverified代理化场景对模型的工具调用和长程规划能力要求更高，而这些维度是传统代码生成基准难以充分衡量的68% similarUnverifiedCost-sensitive or latency-sensitive high-concurrency scenarios should use the lightweight tier, while scenarios requiring complex reasoning and long-chain tool calls should use the high-end tier.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/988519API
curl https://kongchang.com/api/v1/knowledge/claims/988519MCP
get_claim(id=988519)