“Open Responses aims to solve the problem of differing API formats.”

“The new capabilities provide a single, secure and intuitive layer for interacting with AI and integrating it with real systems, allowing organizations to move beyond stalled proof-of-concepts and embed”

“How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers?”

“By unifying these diverse AI components into a single, easy-to-adapt platform”

“The PDE-ODI principle converts a broad class of parabolic differential equations into systems of ordinary differential inequalities.”

“The paper develops a general convergence analysis based on a reformulation of the operators by means of a fixed-point equation, providing a list of hypotheses related to the regularization properties of the equation and the convergence of the chosen approximation techniques on suitable subspaces.”

“The constructive framework produces a fully 4D-covariant action that belongs to the class of generalised extended mimetic gravity models.”

“The best model solves 8.25% of tasks at pass@1 (32.50%/4.17%/0.00% by Easy/Medium/High) and 12.00% at pass@4 (50.00%/4.76%/0.00%).”

“AudioFab's core contribution lies in offering a stable and extensible platform for future research and development in audio and multimodal AI.”

“Foundation Models trained on collider data can help improve the prediction of cosmological parameters and to predict halo and galaxy velocities in different datasets from CosmoBench.”

“The SM+$(n)$VLQ+RHN framework yields predictions consistent with the combined Planck, WMAP, and BICEP/Keck data, while simultaneously ensuring electroweak vacuum stability and phenomenologically viable neutrino masses within well-defined regions of parameter space.”

“Outputs at any time t depend only on a fixed-length context window preceding t.”

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“DriveLaW not only advances video prediction significantly, surpassing best-performing work by 33.3% in FID and 1.8% in FVD, but also achieves a new record on the NAVSIM planning benchmark.”

“Causal questions can be tackled by writing down the probability of everything.”

“Environmentally transmitted and airborne viruses are predicted to be structurally simple, chemically stable, and reliant on replication volume rather than immune suppression.”

“The paper introduces the Bayesian effective dimension, a model- and prior-dependent quantity defined through the mutual information between parameters and data.”

“Reinforcement Networks unify hierarchical, modular, and graph-structured views of MARL, opening a principled path toward designing and training complex multi-agent systems.”

“SCPainter integrates 3D Gaussian Splat (GS) car asset representations and 3D scene point clouds with diffusion-based generation to jointly enable realistic 3D asset insertion and NVS.”

“The paper establishes an effective l=1 angular momentum algebra for the t2g case, formalizing the equivalence between p and t2g orbitals.”

“GLUE improves test accuracy by up to 8.5% over data-size weighting and by up to 9.1% over proxy-metric selection.”

“Space AI can accelerate humanity's capability to explore and operate in space, while translating advances in sensing, robotics, optimisation, and trustworthy AI into broad societal impact on Earth.”

“The paper demonstrates that, with the right parameterisation, hyperparameter transfer holds even in the per-module hyperparameter regime.”

“The paper establishes a theoretical upper bound on excess risk characterized by a distinct phase transition. In the initial optimization phase, the excess risk decays exponentially relative to the computational cost. However, once a specific resource allocation threshold is crossed, the system enters a statistical phase, where the generalization error follows a power-law decay of Θ(C−1/6).”

“The paper establishes a new Heisenberg-type uncertainty principle for the quadratic-phase Dunkl transform, which extends the classical uncertainty principle for a large class of integral type transforms.”

“The paper shows how to construct statistical mechanical models for stabilizer circuits subject to independent Pauli errors, by mapping logical equivalence class probabilities of errors to partition functions using the spacetime subsystem code formalism.”

“UniLabOS unifies laboratory elements via an Action/Resource/Action&Resource (A/R/A&R) model, represents laboratory structure with a dual-topology of logical ownership and physical connectivity, and reconciles digital state with material motion using a transactional CRUTD protocol.”

“Pooling increases revenue and reduces revenue variability for all fleet types.”

“FUSE (Stage 1) model demonstrates state-of-the-art results on the Chameleon benchmark.”

“Omni-Weather achieves state-of-the-art performance in both weather generation and understanding. Generative and understanding tasks in the weather domain can mutually enhance each other.”

“Building on this insight, we propose a new nonparametric score-based GoF test through a special class of IPM induced by kernelized Stein's function class, called semiparametric kernelized Stein discrepancy (SKSD) test.”

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“The study focuses on the unifying spectral problem of nonnegative tensors.”

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“The context provides minimal information beyond the title and source, focusing on a technical aspect of neuroimaging research.”

“The research is sourced from ArXiv.”

“The research originates from ArXiv, indicating it's a pre-print publication.”

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“The article's focus on diffusion transformers suggests a focus on high-quality image synthesis and manipulation.”

“The paper focuses on regret analysis of optimism bandit algorithms.”

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“DeepBridge is a Unified and Production-Ready Framework for Multi-Dimensional Machine Learning Validation”

“The paper unifies discrete, Gaussian, and simplicial diffusion.”

“The paper likely focuses on the theoretical aspects of unifying attention and state space models.”

“The article likely discusses a method to unify multimodal sensor generation.”

“We provide a simple derivation — based on Bayes’ rule and conditional expectations — that unifies Gaussian diffusion and flow matching without relying on ODE/SDE…”

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“The article's source is ArXiv.”

“The paper focuses on inference-time guidance within denoising diffusion models.”