Unverified50% confidenceFactExact time
Anthropic engineers call the phenomenon where the more tokens in the context window, the worse the model's recall, 'context rot'.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
How Does Claude Call Tools It Has Never Seen? MCP and AI Agent Principles Explained
youtubeSystem Design Lab by VG10/22/2026
Related Entities
Related Claims
UnverifiedDespite large context windows, Context Rot remains a major problem, as the model's attention distribution over information at different positions in the context is uneven (the Lost in the Middle effect).79% similarUnverified"Context rot" refers to the phenomenon where many models nominally offer a 1M window but show a marked drop in recall in the middle of the sequence or under extremely long inputs.73% similarUnverified上下文腐烂（Context Rot）包含两种不同的故障模式：Distraction（注意力稀释）和Poisoning（因果链污染）73% 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73% similarUnverifiedThe industry uses “Context Rot” to describe the phenomenon in which, as input grows longer, the model's accuracy in retrieving and reasoning about information in middle positions declines.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1085877API
curl https://kongchang.com/api/v1/knowledge/claims/1085877MCP
get_claim(id=1085877)