BrunoSan Intelligence is monitoring 373,262 data points across 10 intelligence domains today. No cross-vertical signals detected yet.
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Large language models (LLMs) allow users to query databases using natural language by translating questions into executable queries. Despite strong progress on tasks such as Text2SQL, Text2SPARQL, and Text2Cypher, most...
arXiv:2605.10318Knowledge graph embedding (KGE) models typically represent each relation as an operator on entity embeddings. In this work, we identify three structural axioms that any principled relation operator must satisfy,...
arXiv:2605.10317Generative tabular augmentation is appealing in data-scarce domains, yet the prevailing focus on distributional fidelity does not reliably translate into better downstream models. We formalize a fidelity-utility gap:...
arXiv:2605.10315We study contextual bandits with nonlinear and path-dependent rewards through a novel signature-transform-based approach. Leveraging the universal nonlinearity property of signatures, we approximate continuous...
arXiv:2605.10313Every company, person & organisation across all 9 BrunoSan verticals is resolved to a single deterministic UUID and scored in real-time. Composite Risk Score 0–100. No hallucination.
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