Unverified50% confidenceFactExact time
Traditional one-question-one-answer inference is a stateless service: each request carries the full context, the model performs one forward computation and returns the result, and the system does not need to retain any information between requests.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the demonstration, one question triggered the model to request two tool calls, ultimately answering correctly with real values, with no framework involvement throughout the entire process.72% similarUnverifiedA System 1 model performs only a single forward pass when faced with a question and directly outputs the answer, with no intermediate drafts.72% similarUnverified该系统在提示词中明确要求模型只能使用提供的上下文作答，答案不在上下文中时直接回答不知道，而非凭训练记忆编造71% similarUnverifiedPrompt caching reuses input processing, not model output or memory; each request is still a stateless, independent inference.70% similarUnverifiedThe input a model receives during inference is a complete message array, and the output is a pure computation result based on that array; after the computation completes, the server retains no such array.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1030785API
curl https://kongchang.com/api/v1/knowledge/claims/1030785MCP
get_claim(id=1030785)