Unverified50% confidenceCautionExact time
Losing the prefill checkpoint at the end of the prompt under sparse sampling conditions can cause state corruption, output deviation, and even non-reproducible generation results.
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTampered model weights can have backdoors planted in them that produce preset erroneous outputs under specific trigger conditions, and are extremely difficult to detect through conventional testing.72% similarVerified若用含测试集的全量数据计算均值和标准差,会导致预处理泄漏,使评估指标虚高,无法真实反映模型泛化能力71% similarUnverifiedAnomaly detection faces engineering challenges such as false positive rates, baseline drift, and cold start problems, and is not a silver bullet.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/960631API
curl https://kongchang.com/api/v1/knowledge/claims/960631MCP
get_claim(id=960631)