The paper introduces an open generator for telecom alarm storms that produces exact root causes and propagation paths for every alarm on real backbone topologies, with each emitted field tied to standardized terms from NORIA‑O, RFC 8632, RFC 8345, or TMF642. Unlike previous benchmarks, the generator does not rely on confidential operator logs and includes fixed configurations, splits, a scorer, and nine baselines. A simple rule—ranking the device that raised the earliest critical alarm—outperforms more complex methods on both synthetic and real operator data, highlighting a key property of alarm streams.
By Madhulatha Mandarapu, Sandeep Kunkunuru
arXiv:2607. 27290v1 Announce Type: new Abstract: Modern telecommunication, cloud, and microservice systems emit correlated alarm cascades when components fail.
By Lei Zan, Keli Zhang, Shifeng Xie, Jiale Zheng, Zehao Xiao, Zhiwei Dong, Ke Zhang, Ruichu Cai, Malik Tiomoko, Lujia Pan
The paper demonstrates that emergent capabilities in machine learning models can be forecasted with lead time, calibrated uncertainty, and controlled false‑alarm rates. Using per‑seed analysis on transformers, the authors show that the formation time of a previous‑token head predicts the emergence of an induction head with Spearman ρ = 0.977 and a median lead of 975 training steps. Conformal intervals, blind pre‑registered tests, and a multiplicative rule relating anchor and event times further validate the predictive framework across multiple model families and configurations.
By Gunner Levi Howe
The paper investigates whether graph structure improves microservice root‑cause analysis by conducting a controlled study on the RCAEval benchmark. Using identical features, optimizers, and evaluation protocols across three model variants, the authors find no consistent advantage for graph‑based models over flat models, with a negligible Avg@5 difference (0.003, p=0.844). They identify two benchmark properties—limited fault injection and a non‑uniform telemetry schema—that bias results, and propose a new model, PSC‑GRCA, which achieves higher Avg@5 mainly through a system prior rather than graph information.
By Imad Bulji\'c
arXiv:2610.35151v1 Announce Type: cross
Abstract: Host-based intrusion detectors order events, window audit streams and sequence attack stages by their timestamps. Every conclusion they draw therefor...
By Rene Heinzl, Markus Nissl
arXiv:2608. 01725v1 Announce Type: cross Abstract: Modern computing and networking infrastructure emits telemetry continuously, yet operators convert it into decisions with a separate predictor per task, entity, and horizon.
By Zifan Zhang, Zhichao Hou, Tingxiang Ji, Yuchen Liu