The Towers Were Standing: A Cause Decomposition of Cellular Outages During Hurricane Helene
研究通过分解分析FCC灾难信息系统数据，揭示飓风Helene期间蜂窝基站中断主要由电力和传输故障而非物理损坏引起。
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Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware
为解决被动冷却硬件上的热节流问题，提出了一种基于经验校准的状态感知DVFS调度器，有效提高了DNN推理的帧率和能效。
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Outcome Monitors: Recovery Affordances for Silent Tool Failures
为解决工具调用超时导致的静默失败问题，引入Outcome Monitors方法检测结果合同违规，并提供恢复工具建议，提高任务完成率。
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PECR: A Reproducible Specification and Synthetic Stress Test of Telemetry-Informed Vulnerability Prioritization for SD-WAN
This study addresses the limitations of traditional severity-based vulnerability prioritization in accurately capturing real-world exposure risk and evidence quality within SD-WAN environments. The authors propose the Predictive Exposure and Cryptographic Readiness (PECR) framework, which integrates nine normalized factors to rank vulnerabilities and establishes a dedicated migration queue for cryptographic dependencies, while simultaneously providing confidence and score intervals. PECR constitutes the first actionable vulnerability prioritization specification, augmented by a synthetic stress-testing framework that quantifies ranking robustness under multidimensional perturbations through synthetic data generation, Kendall τ correlation analysis, Dirichlet weight sampling, and interval-based decision boundary detection. Experimental results demonstrate that PECR significantly outperforms baseline metrics such as CVSS and EPSS on synthetic datasets (τ = 0.836–0.924) and identifies 47% of vulnerability records requiring cautious handling due to insufficient evidence.
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Predictive Exposure and Cryptographic Readiness: A Vendor-Neutral Framework, a, Bounded Multivocal Evidence Analysis, and Reproducible Synthetic Evaluation for SD-WAN Environments
Traditional static scoring systems, such as CVSS, fail to capture real-time exploitability, network exposure, attack paths, business impact, and cryptographic migration risks, limiting their effectiveness in guiding vulnerability remediation priorities within SD-WAN environments. To address this gap, this work proposes PECR—a vendor-neutral framework that uniquely integrates predictive exposure, cryptographic readiness, and organizational context. By normalizing multi-source evidence, applying weighted scoring, and incorporating confidence assessment, PECR enables traceable and auditable vulnerability prioritization. Empirical evaluation demonstrates that PECR consistently produces stable rankings distinct from CVSS (e.g., A-B-E-C-D) across five synthetic scenarios, with 87.5% of weight configurations yielding identical orderings. Furthermore, the framework exhibits robustness under factor ablation and bounded perturbation tests.
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The Towers Were Standing: A Cause Decomposition of Cellular Outages During Hurricane Helene
研究通过分解分析FCC灾难信息系统数据，揭示飓风Helene期间蜂窝基站中断主要由电力和传输故障而非物理损坏引起。
0 citationsRead paper
Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware
为解决被动冷却硬件上的热节流问题，提出了一种基于经验校准的状态感知DVFS调度器，有效提高了DNN推理的帧率和能效。
0 citationsRead paper
Outcome Monitors: Recovery Affordances for Silent Tool Failures
为解决工具调用超时导致的静默失败问题，引入Outcome Monitors方法检测结果合同违规，并提供恢复工具建议，提高任务完成率。
0 citationsRead paper
PECR: A Reproducible Specification and Synthetic Stress Test of Telemetry-Informed Vulnerability Prioritization for SD-WAN
This study addresses the limitations of traditional severity-based vulnerability prioritization in accurately capturing real-world exposure risk and evidence quality within SD-WAN environments. The authors propose the Predictive Exposure and Cryptographic Readiness (PECR) framework, which integrates nine normalized factors to rank vulnerabilities and establishes a dedicated migration queue for cryptographic dependencies, while simultaneously providing confidence and score intervals. PECR constitutes the first actionable vulnerability prioritization specification, augmented by a synthetic stress-testing framework that quantifies ranking robustness under multidimensional perturbations through synthetic data generation, Kendall τ correlation analysis, Dirichlet weight sampling, and interval-based decision boundary detection. Experimental results demonstrate that PECR significantly outperforms baseline metrics such as CVSS and EPSS on synthetic datasets (τ = 0.836–0.924) and identifies 47% of vulnerability records requiring cautious handling due to insufficient evidence.
0 citationsRead paper
Predictive Exposure and Cryptographic Readiness: A Vendor-Neutral Framework, a, Bounded Multivocal Evidence Analysis, and Reproducible Synthetic Evaluation for SD-WAN Environments
Traditional static scoring systems, such as CVSS, fail to capture real-time exploitability, network exposure, attack paths, business impact, and cryptographic migration risks, limiting their effectiveness in guiding vulnerability remediation priorities within SD-WAN environments. To address this gap, this work proposes PECR—a vendor-neutral framework that uniquely integrates predictive exposure, cryptographic readiness, and organizational context. By normalizing multi-source evidence, applying weighted scoring, and incorporating confidence assessment, PECR enables traceable and auditable vulnerability prioritization. Empirical evaluation demonstrates that PECR consistently produces stable rankings distinct from CVSS (e.g., A-B-E-C-D) across five synthetic scenarios, with 87.5% of weight configurations yielding identical orderings. Furthermore, the framework exhibits robustness under factor ablation and bounded perturbation tests.
0 citationsRead paper