The paper factorizes HNDL compromise probability into temporal hazard, multiplicative vulnerability-exposure terms, and a saturation factor justified by assumptions on adversarial production and value decay.
Handbook on Constructing Composite Indicators: Methodology and User Guide
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
TabGRAA applies group-relative advantage alignment in an iterative reward-guided post-training loop to improve tabular language model generators on fidelity, utility, and privacy trade-offs across five benchmarks.
The AWPRI is a new composite index showing elevated governance risks in countries like China and Vietnam, driven especially by the AI amplification layer, with DiD evidence linking high AI-risk classifications to 0.08 higher scores.
citing papers explorer
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A Formal Basis for Quantum Cryptographic Exposure Measurement under HNDL Threat
The paper factorizes HNDL compromise probability into temporal hazard, multiplicative vulnerability-exposure terms, and a saturation factor justified by assumptions on adversarial production and value decay.
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Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training
TabGRAA applies group-relative advantage alignment in an iterative reward-guided post-training loop to improve tabular language model generators on fidelity, utility, and privacy trade-offs across five benchmarks.
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Animal Welfare and Policy Risk Index (AWPRI): Constructing and Validating a Cross-National Governance Risk Measure, 25 Countries, 2004-2022
The AWPRI is a new composite index showing elevated governance risks in countries like China and Vietnam, driven especially by the AI amplification layer, with DiD evidence linking high AI-risk classifications to 0.08 higher scores.