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Static Electric Fields as a Model for Hydrogen-Bond-Induced Dissociation of HF and HCl
arXiv:2606.09011v1 Announce Type: new Abstract: The influence of static electric fields on the electronic structure and dissociation behavior of the polar diatomics \ce{HF} and \ce{HCl} is investigated using quantum chemical calculations. Ground- and excited-state potential energy surfaces (PESs) are computed as a function of bond distance and external electric field strength to examine field-induced modifications of chemical bonding. The calculations reveal pronounced bond softening and...
Bridged SBI: Correcting Biased Low-Fidelity Posteriors for Cost-Efficient High-Fidelity Inference
arXiv:2606.09155v1 Announce Type: new Abstract: Accurate calibration of particle-based simulators is crucial for robotic earthwork simulation, but analytical calibration is challenging due to this task's highly nonlinear particle dynamics and the black-box nature of conventional simulators. Although simulation-based inference (SBI) can estimate posterior distributions over simulation parameters solely from forward simulations, applying SBI directly to high-fidelity (HF) particle simulators...
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions
arXiv:2605.20341v2 Announce Type: replace Abstract: Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. We present HF-KCU, a method that removes a client's contribution by approximating the influence function through conjugate gradient iterations in Krylov subspaces, reducing complexity from O(d^3) to O(kd) where k<<d. A causal weighting mechanism ensures that only...
When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitectures
arXiv:2606.02378v1 Announce Type: new Abstract: We track the developmental trajectory of attention-head circuit formation across three 1B-class language models spanning two architecture families (dense transformer, mixture-of-experts) and two pretraining corpora (The Pile, DCLM): Pythia 1B, OLMo 1B-0724-hf, and OLMoE 1B-7B-0924. At each of 10 log-spaced revisions per model -- 30 mechanistic-interpretability runs in total -- we apply a participation-ratio (PR) spectral signal and an all-head...
Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups
Announce Type: new Abstract: As autonomous systems expand from capital-intensive robotaxis to cost-sensitive logistics, sensor configurations are increasingly optimized for coverage-per-cost. A prevalent sparse-view setup utilizes dual-fisheye cameras with a roof-mounted LiDAR, introducing severe geometric challenges: extreme radial distortion, minimal overlap, and misalignment between spherical projections and rectilinear grids. BEV fusion algorithms typically force image and point cloud...
A Dual Metastable-State Encoding Architecture for Quantum Processing with $^{171}\mathrm{Yb}$ Atom Arrays
arXiv:2606.08453v1 Announce Type: cross Abstract: Neutral-atom arrays combine scalable qubit registers, long coherence times, flexible optical control, and strong Rydberg-mediated entangling interactions, making them a promising platform for quantum information processing. However, physical error rates remain a challenge, and fault-tolerant quantum error correction (QEC) requires repeated mid-circuit measurement and reset of ancilla qubits without disturbing nearby data qubits. This...
Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks
Announce Type: new Abstract: Continual industrial anomaly detection with diffusion models suffers from historical normality prior drift and catastrophic forgetting. Existing continual diffusion methods preserve previous knowledge through replay or constrained optimization, but they lack an explicit mechanism for isolating and protecting category-specific normality priors during sequential adaptation. Although low-rank adaptation provides modular residual updates, standard LoRA neither...
B-Spline for Self-Consistent Field Theory with a Z-Dependent Pauli Potential for Atomic Binding Energies
arXiv:2606.07273v1 Announce Type: new Abstract: Polymer self-consistent field theory (SCFT) has recently been established as a promising alternative framework to Kohn-Sham density functional theory (KS-DFT) for modeling quantum many-body systems. It uses real-valued propagators instead of orbitals, simplifying the self-consistent numerical solution.
MH-53E Sea Dragon: Why US navy's mine-hunting is retiring after 40 years
As tensions in the Middle East continue to focus attention on maritime security and the strategic Strait of Hormuz, one aircraft has repeatedly found itself back in the spotlight: the MH-53E Sea Dragon. For nearly four decades, the massive helicopter has served as the US Navy's primary airborne mine countermeasures platform, capable of detecting, sweeping and neutralising naval mines that threaten commercial shipping and military vessels. However, the aircraft is now approaching the end of...
Moonshot AI eyes US$30 billion valuation as China’s AI race intensifies
Moonshot AI eyes US$30 billion valuation as China’s AI race intensifies The company behind the Kimi chatbot is aiming for a valuation that would place it among China’s most valuable AI start-ups Moonshot AI, the developer of China’s popular Kimi chatbot, is seeking to raise between US$1 billion and US$2 billion in a new funding round that could value the company at as much as US$30 billion, according to a person familiar with the matter, as competition among the country’s leading artificial...