Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models
arXiv:2605.07649v2 Announce Type: replace-cross Abstract: Over the last few years, research on autonomous systems has matured to such a degree…
One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy
arXiv:2605.07931v2 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models increasingly rely on auxiliary world modules to plan over long horizons, yet…
Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support
arXiv:2605.09534v1 Announce Type: cross Abstract: Engineering managers increasingly must decide how to introduce generative artificial intelligence (AI), retrieval-augmented generation, and…
AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation
arXiv:2605.02948v3 Announce Type: replace-cross Abstract: Diffusion-based talking head generation has achieved remarkable visual quality, yet scaling it to long-term videos…
Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems
arXiv:2605.08681v1 Announce Type: cross Abstract: We study solving large-scale fixed-point equation (x^star=bar F(x^star)) with decomposition. Standard strict decomposition assigns each…
Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference
arXiv:2605.07639v1 Announce Type: new Abstract: Tacit knowledge plays a central role in human expertise, yet it remains difficult to capture,…
The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking
arXiv:2605.06707v1 Announce Type: cross Abstract: This paper presents an eight-week observational comparison of 68 single-file HTML generations collected across 17…
Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning
arXiv:2605.08061v1 Announce Type: new Abstract: We argue that decomposing reward into weighted, verifiable criteria and using an LLM judge to…
Gradient Extrapolation-Based Policy Optimization
arXiv:2605.06755v1 Announce Type: cross Abstract: Reinforcement learning is widely used to improve the reasoning ability of large language models, especially…
The E$Delta$-MHC-Geo Transformer: Adaptive Geodesic Operations with Guaranteed Orthogonality
arXiv:2605.06729v1 Announce Type: cross Abstract: We present the E$Delta$-MHC-Geo Transformer, a novel architecture that unifies Manifold-Constrained Hyper-Connections (mHC), Deep Delta…