JTON's Zen Grid encoding reduces token counts for tabular data by 15-60% versus standard JSON while showing a net +0.3 pp accuracy gain and 100% syntactic validity across tested LLMs.
A query system for efficiently investigating complex attack behaviors for enterprise security,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A self-supervised GNN model on cloud logs flags suspicious events with far fewer alerts than rule-based baselines but cannot estimate missed threats.
citing papers explorer
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JTON: A Token-Efficient JSON Superset with Zen Grid Tabular Encoding for Large Language Models
JTON's Zen Grid encoding reduces token counts for tabular data by 15-60% versus standard JSON while showing a net +0.3 pp accuracy gain and 100% syntactic validity across tested LLMs.
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Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks
A self-supervised GNN model on cloud logs flags suspicious events with far fewer alerts than rule-based baselines but cannot estimate missed threats.