Expired50% confidenceTradeoffExact time
Despite Opus 4.7 already having a million-token context window, context rot remains a significant problem.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/18/2026
First Seen
Valid until: 10/16/2026(expired)
Sources
Related Claims
Unverified尽管上下文窗口很大,上下文腐化(Context Rot)依然是巨大问题,模型对上下文中不同位置信息的注意力分布不均匀(Lost in the Middle效应)74% similarUnverifiedContext Rot(上下文腐烂)指随着对话变长、输入 Token 增多,模型准确度会逐步下降,该现象在 Claude、OpenAI、Gemini 等主流模型上普遍存在62% similarUnverifiedIn a RAG system, retrieving too much wastes context window space, while retrieving too little may miss critical information, making retrieval precision a key challenge.62% similarUnverifiedContext window limitations in LLMs cause them to struggle with schema information spanning hundreds of columns61% similarUnverifiedContext Rot refers to the phenomenon where, as the number of conversation turns increases, irrelevant information accumulates and the attention budget becomes filled with low-value content, causing reasoning quality to continuously decline.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/554704API
curl https://kongchang.com/api/v1/knowledge/claims/554704MCP
get_claim(id=554704)