Open models judging long access logs fall to 48 to 55 percent accuracy
Judging whether a service may act now from an access log, open models of 7 to 32 billion parameters fall from 72 to 86 percent accuracy after eight or sixteen events to 48 to 55 percent after 256. Reasoning-trained 32B models reading the current state instead reach 96 and 98 percent. A filter where a model parses each line and a fixed rule applies the update scores 80 to 89 percent at 256 events, beating the Mem0 library.