Unverified50% confidenceTradeoffExact time
Faced with a five- to ten-fold increase in review volume, reviewers' time and attention cannot expand proportionally, causing the quality safeguard of code review to collapse.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/10/2026
First Seen
Valid until: 1/8/2027
Sources
Related Entities
Related Claims
UnverifiedMany sparse/compression evaluation tasks can be passed under sliding window attention, so the 5–10x compression ratios reported on these tasks are not convincing.73% similarVerifiedEven models with a million-token context face an attention dilution problem when handling large codebases—when the context is too long, the model's attention to early content drops significantly.72% similarUnverified在长对话中早期的错误尝试和调试过程会持续占据上下文窗口,造成上下文污染并干扰后续推理准确性72% similarUnverifiedAt a fixed context length, same-format distractors cause the largest accuracy drop among all distractor types tested.69% similarUnverified过于敏感的异常检测会导致审批疲劳,使人工审核员对频繁告警逐渐失去警惕性69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/995084API
curl https://kongchang.com/api/v1/knowledge/claims/995084MCP
get_claim(id=995084)