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HMRC Evaluation Framework
HMRC Evaluation Framework The framework sets out HMRC's evaluation approach and how it fits with wider government best practice. This framework was updated in 2026 — click here to read the new page. The evaluation framework sets out our approach for achieving HMRC’s evaluation vision of good quality monitoring and evaluations of policies, programmes and projects in line with government good practice.
Field Validation of a Multi-Resolution ConvLSTM Framework for Retaining Wall Deformation Prediction
arXiv:2606.05556v1 Announce Type: new Abstract: This study presents a comprehensive field validation of a multi-resolution Convolutional Long Short-Term Memory (ConvLSTM) framework for predicting retaining wall deformation during staged excavation. The framework is trained on Gaussian noise-augmented numerical simulations and integrates ConvLSTM models operating at different temporal resolutions through a stacking ensemble strategy. The proposed framework is validated using field monitoring...
When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty
arXiv:2606.05528v1 Announce Type: new Abstract: Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a precautionary framework that maps consciousness evidence to graduated protective obligations. The framework comprises three components: (1) five welfare-relevant dimensions--phenomenal consciousness, affective valence, metacognitive awareness, self-narrative, and agency--each grounded in...
Field Validation of a Multi-Resolution ConvLSTM Framework for Retaining Wall Deformation Prediction
Announce Type: replace Abstract: This study presents a comprehensive field validation of a multi-resolution Convolutional Long Short-Term Memory (ConvLSTM) framework for predicting retaining wall deformation during staged excavation. The framework is trained on Gaussian noise-augmented numerical simulations and integrates ConvLSTM models operating at different temporal resolutions through a stacking ensemble strategy. The proposed framework is validated using field monitoring data from 34...
A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems
arXiv:2606.08849v1 Announce Type: new Abstract: Urban public transport disruptions require rapid response strategies, yet existing studies rarely provide a decision support framework to compare alternative disruption response solutions using a common set of dynamic, passenger, operator, and environment oriented indicators. This paper proposes a KPI-driven, time-indexed framework to assess the resilience of disruption response solutions in urban transit systems. The framework combines an...
From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators
arXiv:2606.04838v1 Announce Type: new Abstract: This article presents a framework for the prediction of subscriber churn in mobile operators also known as telecommunication operators (or telcos). This framework covers relevant aspects of data-driven approaches using explainable artificial intelligence and machine learning. To demonstrate the robustness of the framework, we implement it on real data from one of the globally leading telcos with tens of millions of subscribers and show results...
Towards AI epidemiology: a measurement standardisation framework for prospective risk detection
Announce Type: replace Abstract: This paper proposes a measurement standardisation framework that compresses expert-AI interactions into structured, comparable fields for prospective risk detection in deployed AI systems, without access to model internals. The main aim of this concept paper is to define the scope of the framework, both semantically and statistically, and to specify a protocol for its empirical testing in future work. The population-level claims the framework is designed to...
Israel and Lebanon agree on ceasefire framework in US-led talks
Israel and Lebanon agree on ceasefire framework in US-led talks Israel and Lebanon agree on ceasefire framework in US-led talks The US announced a ceasefire framework between Israel and Lebanon, which includes expanded Lebanese army control and a halt to Hezbollah attacks. Al Jazeera’s Manuel Rapalo explains how Hezbollah’s rejection of the talks leaves enforcement uncertain. Published On 4 Jun 2026
SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
Announce Type: replace Abstract: LLM agents increasingly rely on reusable skills (e.g., SKILL markdown files) to execute complex tasks, yet these artifacts lack portability: agent frameworks are highly sensitive to prompt formatting, leading to a large performance variation for the same skill. Nevertheless, most skills are authored once as format-agnostic Markdown, necessitating costly per-framework rewrites and also leaving security largely unaddressed, with widespread vulnerabilities in...
SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
arXiv:2605.03353v3 Announce Type: replace Abstract: LLM agents increasingly rely on reusable skills (e.g., $SKILL.md$ ) to execute complex tasks, yet these artifacts lack portability: agent frameworks are highly sensitive to prompt formatting, leading to a large performance variation for the same skill. Nevertheless, most skills are authored once as format-agnostic Markdown, necessitating costly per-framework rewrites and also leaving security largely unaddressed, with widespread...