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988 storiesPublic health and medicine worldwide — sourced from WHO News.
Beyond Object Validation: Relational Conformance in Multi-Artifact Agent Releases
arXiv:2607.14155v1 Announce Type: new Abstract: Agent systems validate inputs, tool calls, and generated objects. The final package often escapes the same scrutiny. In one DRSS release, the ledger supported 60 points and…
Certified Domain Consistency for Multi-Domain Retrieval: Label-Free Per-Domain Contamination Control with Conformal Risk Guarantees
arXiv:2607.14157v1 Announce Type: new Abstract: Retrieval over corpora that mix several domains often returns relevant but wrong-domain evidence that ranking metrics miss and that conformal risk control bounds only margi…
Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers
arXiv:2607.14158v1 Announce Type: new Abstract: This position paper explores how Agentic AI and Model Context Protocol (MCP) can support power-grid studies in a Transmission System Operator (TSO) context. We focus on int…
MemoHarness: Agent Harnesses That Learn from Experience
arXiv:2607.14159v1 Announce Type: new Abstract: An agent harness is the external control layer that turns a base LLM into an executable agent by managing context, tools, orchestration, memory, decoding, and output handli…
QFireNet: A Quantum-Enhanced U-Net for Wildfire Segmentation from Sentinel-2 Imagery
arXiv:2607.14160v1 Announce Type: new Abstract: Wildfire detection from satellite imagery is a semantic image segmentation problem that has proven to be difficult due to challenges such as class imbalance, feature comple…
Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest
arXiv:2607.14161v1 Announce Type: new Abstract: Pinterest is where people turn inspiration into action as users browse ideas, then take steps toward realization, often by discovering shoppable content. To support this jo…
Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
arXiv:2607.14162v1 Announce Type: new Abstract: Model-Based Systems Engineering (MBSE) relies on formal system models as primary technical artifacts for representing requirements, structure, and behavior across the syste…
Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation
arXiv:2607.14165v1 Announce Type: new Abstract: While Large Language Models (LLMs) have demonstrated significant capability in software code generation, their application to analog Electronic Design Automation (EDA) is b…
Stop Means Stop: Measuring and Repairing the Enforcement Gap in Agent-Framework Control Primitives
arXiv:2607.14166v1 Announce Type: new Abstract: Production LLM-agent frameworks expose control primitives -- human-in-the-loop approval gates, run cancellation, and execution timeouts -- whose names and documentation imp…
Structured Feedback Improves Repair in an LLM Agent Loop
arXiv:2607.14167v1 Announce Type: new Abstract: LLM agents often retry after external validation rejects a candidate, but the interface between validation and the next model call remains underspecified. We introduce Veri…
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models
arXiv:2607.14169v1 Announce Type: new Abstract: Large language models can synthesize a game's rules as executable code - a Code World Model (CWM) - which a classical planner then searches over. Such models are typically …
Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning
arXiv:2607.14171v1 Announce Type: new Abstract: Reinforcement learning has emerged as the dominant paradigm for training large language model (LLM) agents that interact with executable sandboxes. State-of-the-art algorit…
The Cost and Network Limits of Space-Based AI Compute
arXiv:2607.14172v1 Announce Type: new Abstract: This paper evaluates whether large-scale AI data centers deployed in low-Earth orbit (LEO) could become a cost-effective alternative to terrestrial facilities. The analysis…
How Much of a 10-K Matters? Aggregation-Dependent Value of Full-Text versus Risk-Factor Sentiment
arXiv:2607.14174v1 Announce Type: new Abstract: Financial sentiment extraction has largely relied on news text and supervised extraction against return labels alone, leaving 10-K filings -- and volatility, the target ris…
Low-Latency Relay Selection in NR-V2X Vehicular Communications via Graph Isomorphism Networks with Edge Features
arXiv:2607.14176v1 Announce Type: new Abstract: Reliable, low-latency uplink connectivity is a key requirement for C-V2X networks in dense urban environments, where fast channel variations and blockages often degrade dir…
Adaptive Control of Motor-Position-Controlled Flexible Joint Robots with Uncertain Joint Stiffness
arXiv:2607.14177v1 Announce Type: new Abstract: Model-based control of flexible joint robots with position-controlled actuators relies on accurate knowledge of the joint compliance. In practice, precise stiffness models …
ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System
arXiv:2607.14178v1 Announce Type: new Abstract: Recent advances in Large Language Models have fueled autonomous AI agents capable of tackling complex scientific tasks, yet existing automated research systems remain predo…
RENEW: Towards Learning World Models and Repairing Model Exploitation from Preferences
arXiv:2607.14180v1 Announce Type: new Abstract: World models are widely used in offline reinforcement learning (RL) to improve sample efficiency and generate experience beyond a fixed dataset. However, they are vulnerabl…
Quantize with Confidence? An Empirical Study of Quantization for Code Generation
arXiv:2607.14181v1 Announce Type: new Abstract: The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-cons…
Semantic Audio-driven Understanding for Dynamic Humanoid Whole Body Control
arXiv:2607.14182v1 Announce Type: new Abstract: Recent advances in humanoid robotics and reinforcement learning have enabled the acquisition of highly expressive whole-body motion policies. However, most robotic performa…