Develops an information flow logic for unstructured assembly language and applies reordering interference freedom to persistent memory.
Neutrino oscillations and non-standard interactions,
5 Pith papers cite this work, alongside 34 external citations. Polarity classification is still indexing.
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APIKG4Syn synthesizes API-oriented training data via knowledge graphs and Monte Carlo search to fine-tune a 7B model that reaches 25% pass@1 on HarmonyOS code generation, beating untuned GPT-4o at 17.59%.
A new correlation-exploiting parameter is introduced for dual-baseline neutrino oscillation experiments to aid determination of mass hierarchy and CP phase, analyzed in the T2HKK context.
The DMP neutrino oscillation approximation is reframed as a degenerate-eigenvalue resummation that replaces a divergent parameter with a uniformly bounded one, and closed-form Jacobians for uncertainty propagation are collected.
A survey frames CPS resilience through five themes and illustrates them in connected transportation and medical systems to provide a roadmap for real-world resilience.
citing papers explorer
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Information flow security on persistent memory
Develops an information flow logic for unstructured assembly language and applies reordering interference freedom to persistent memory.
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Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study
APIKG4Syn synthesizes API-oriented training data via knowledge graphs and Monte Carlo search to fine-tune a 7B model that reaches 25% pass@1 on HarmonyOS code generation, beating untuned GPT-4o at 17.59%.
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Neutrino oscillations at dual baselines
A new correlation-exploiting parameter is introduced for dual-baseline neutrino oscillation experiments to aid determination of mass hierarchy and CP phase, analyzed in the T2HKK context.
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Algebraic Structure of Three-Flavor Neutrino Oscillations in Constant-Density Matter: Cayley--Hamilton Evolution, DMP Resummation, and Closed-Form Uncertainty Propagation
The DMP neutrino oscillation approximation is reframed as a degenerate-eigenvalue resummation that replaces a divergent parameter with a uniformly bounded one, and closed-form Jacobians for uncertainty propagation are collected.
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Digital Guardians: The Past and The Future of Cyber-Physical Resilience
A survey frames CPS resilience through five themes and illustrates them in connected transportation and medical systems to provide a roadmap for real-world resilience.