KRONE derives semantic execution hierarchies from flat logs to enable modular multi-level anomaly detection with hybrid local and nested-aware detectors plus limited LLM use, delivering 10% F1 gains and over 100x data efficiency on benchmarks and industrial data.
Clustering event logs using iterative partitioning
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
An adaptive crawler using classifier feedback and seed-compound query generation discovers approximately 7.6 times more cumulative unique fake shopping hosts than a fixed-keyword baseline by cycle 3.
citing papers explorer
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KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction
KRONE derives semantic execution hierarchies from flat logs to enable modular multi-level anomaly detection with hybrid local and nested-aware detectors plus limited LLM use, delivering 10% F1 gains and over 100x data efficiency on benchmarks and industrial data.
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Beyond Classification Accuracy: An Exploration-Range Evaluation of Adaptive Crawling for Fake Shopping Sites
An adaptive crawler using classifier feedback and seed-compound query generation discovers approximately 7.6 times more cumulative unique fake shopping hosts than a fixed-keyword baseline by cycle 3.