Unverified50% confidenceFactExact time
The full chat history displayed in a chat application's interface is not necessarily consistent with the input the model actually receives at that moment; the application may summarize earlier conversation, omit content, or retrieve historical information on demand.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
Unverified上下文窗口是指模型在单次对话中能够记住并参考的文本长度,超出范围的信息会被截断丢弃74% similarUnverifiedConversational memory is stored in the form of memory summaries, which can become skewed as conversations grow, whereas global personalization instructions are hard-coded into the system prompt of every request and are not affected by memory degradation.72% similarUnverifiedChatGPT's previous Memory feature primarily recorded information that users explicitly or implicitly expressed in conversations, such as their profession, preferences, and habitual language style.72% similarUnverified对话摘要记忆通过LLM将历史交互压缩为摘要,每当新消息加入时摘要会被迭代更新71% similarUnverifiedContext compaction is a class of techniques that distill existing conversation history into a more concise representation, typically by having the model generate a summary of earlier content to replace the original message list.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1032626API
curl https://kongchang.com/api/v1/knowledge/claims/1032626MCP
get_claim(id=1032626)