Operational Design Domains
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Related Articles from SNS
What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
Announce Type: replace Abstract: Driving vision-language models (VLMs) must accurately understand scenes across diverse conditions defined by Operational Design Domains (ODDs), yet verification remains sparse: many slices are missing, making empirical failure rates unreliable. We propose SliceScorer, a deterministic scoring rule for missing-slice recommendation that combines (i) an exposure-based coverage prior to prioritize rare, under-tested regions, and (ii) a neighbor-failure prior that...
What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
Announce Type: new Abstract: Driving vision-language models (VLMs) must accurately understand scenes across diverse conditions defined by Operational Design Domains (ODDs), yet verification remains sparse: many slices are missing, making empirical failure rates unreliable. We propose SliceScorer, a deterministic scoring rule for missing-slice recommendation that combines (i) an exposure-based coverage prior to prioritize rare, under-tested regions, and (ii) a neighbor-failure prior that...
A year after India broke Pak's offensive during Op Sindoor, Joint Air Defence Doctrine release
On the eve of his retirement, Chief of Defence Staff General Anil Chauhan unveiled the Joint Air Defence Doctrine, a step towards integrating the Army, Navy and Air Force into a seamless, multi-layered shield against aerial threats. The doctrine, released by Headquarters Integrated Defence Staff (IDS), is designed to strengthen operational preparedness and ensure synergy across the services in an era of drones, hypersonic weapons and saturation missile attacks. This is the 13th doctrine...
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
arXiv:2606.01306v1 Announce Type: new Abstract: While Transformer-based architectures have established themselves as a dominant paradigm in Multivariate Time Series Forecasting (MTSF), their core self-attention mechanism inherently functions as a low-pass filter, systematically smoothing out high-frequency signals vital for sharp local changes. Recent advancements have increasingly incorporated frequency-domain operations to address this bias, however, most existing designs rely on fixed...
A Stable SBP-SAT FDTD Subgridding Method Without Region Split
arXiv:2604.14618v2 Announce Type: replace Abstract: A provably stable summation-by-parts simultaneous approximation term (SBP-SAT) finite-difference time-domain (FDTD) subgridding method without region split is proposed. By designing projection SBP operators tailored for embedded topological features and deriving the corresponding SAT boundary conditions, this approach guarantees long-time stability through discrete energy analysis. Unlike conventional SBP-SAT FDTD subgridding techniques...
EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs
Announce Type: new Abstract: Deep learning surrogates for 3D Partial Differential Equations (PDEs) often fail to generalize across geometric transformations because they depend heavily on specific coordinate systems. While equivariant networks offer a solution, they typically rely on local operations in the spatial domain, making the global receptive field, which is essential for PDE dynamics, computationally expensive. Conversely, Fourier Neural Operators (FNOs) efficiently capture global...
Great Nicobar dual-use airport likely to be ‘ready in 5 years’
Considering the strategic and economic benefits of Great Nicobar Islands (GNI) development projects, the greenfield airport approved by the Cabinet last November “is expected to be ready within five years and will be under the operational control of the Indian Navy,” defence sources have said. “The dual-use airport to be used for civilian and military purposes shall enhance India's maritime domain awareness and operational outreach,” the sources said, adding, “initial tendering is underway...
The Coverage Gap: Chile's Cyber Disclosure Framework versus the USA, EU and UK
Announce Type: new Abstract: We introduce the Coverage Gap as a measurable distance between the observable public exposure of critical-infrastructure operators and their declared capability to coordinate vulnerability disclosure. We instantiate it against the 915 Chilean Operadores de Importancia Vital (OIVs -- Operators of Vital Importance) designated by the National Cybersecurity Agency (ANCI) under Ley 21.663 (Resolucion Exenta No. 87, 16 December 2025). Using a passive-only, OSINT-based...
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
Announce Type: replace Abstract: Graph Neural Networks (GNNs) have become the dominant framework for inductive graph-level learning. Yet most benchmarks focus on the regime $n \gg p$, where the number of graphs $n$ greatly exceeds the number of nodes per graph $p$. This overlooks biological domains such as omics, which operate in the opposite $n \ll p$ regime, characterized by large graphs of genes, transcripts, or proteins across few patient samples. This raises the question: \textit{how do...
Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution
Announce Type: new Abstract: When an LLM repeatedly mutates a program, does it explore new forms or circle back to the same ones? We study this question by analyzing LLM-driven mutation chains in the absence of selection pressure within a domain-specific language, varying prompt design, model family, and stochastic replication. We find that LLM-based mutation consistently converges toward restricted attractor regions in program space.