Unverified50% confidenceBenchmarkExact time
In the paper's experimental evaluation, AegisFlow improved MTTR by 98.1%, reducing the average repair time per patch from 170 minutes to 3.2 minutes.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn this project, loading the model and artifacts from MLflow takes approximately 40 seconds, while the maximum timeout for API Gateway is 30 seconds, making the first invocation almost certain to fail.56% similarUnverifiedThis project achieved a response latency of approximately 0.3 seconds through fine-grained optimization of the front-end STT and back-end TTS.55% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983139API
curl https://kongchang.com/api/v1/knowledge/claims/983139MCP
get_claim(id=983139)