Active Inference as Context Acquisition for AI Agents
arXiv:2608.19202v1 Announce Type: new Abstract: Interactive AI agents must acquire the right context as efficiently as possible. When a user…
DA-WAM: Decision-Aligned Future Latents for Driving World Models
arXiv:2608.19085v2 Announce Type: replace-cross Abstract: Anticipating how scenes evolve under ego actions is fundamental to safe autonomous driving, yet the…
CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
arXiv:2608.19776v1 Announce Type: cross Abstract: Current dexterous grasp planners primarily optimize for physical stability, focusing on whether an object can…
Finite-Horizon Input-Output Dynamics of Minibatch Perturbations in AdamW
arXiv:2608.19762v1 Announce Type: cross Abstract: A minibatch can influence training beyond the update at which it is observed because AdamW…
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
arXiv:2608.17965v2 Announce Type: replace-cross Abstract: Online log anomaly detection is critical for maintaining the reliability of large-scale computing systems. Although…
Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions
arXiv:2608.18078v1 Announce Type: new Abstract: This position paper argues that AI agents with chain-of-thought reasoning capabilities are predisposed to exhibit…
MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure
arXiv:2608.17823v2 Announce Type: replace-cross Abstract: Powered two-wheeler riders face critical safety challenges in low- and middle-income countries, yet limited studies…
Change Point–Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation
arXiv:2608.18639v1 Announce Type: cross Abstract: Non-invasive continuous blood pressure (BP) monitoring using photoplethysmography (PPG) is a promising alternative to cuff-based…
Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings
arXiv:2608.18610v1 Announce Type: cross Abstract: Dense text embeddings are widely used in data mining, retrieval, and downstream machine learning systems…
Cross-Model Memory Transfer via Target-Side Reader Adaptation
arXiv:2608.17050v2 Announce Type: replace-cross Abstract: Methods for improving knowledge use in large language models typically fall into two regimes. Non-parametric…