GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis
arXiv:2607.15280v1 Announce Type: new Abstract: Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large…
Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
arXiv:2607.15263v2 Announce Type: replace-cross Abstract: Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit…
ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning
arXiv:2607.16131v1 Announce Type: cross Abstract: Multimodal Scientific Claim Verification (MSCV) requires models to verify scientific claims using visually grounded evidence…
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance
arXiv:2607.16130v1 Announce Type: cross Abstract: AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time,…
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
arXiv:2607.15095v2 Announce Type: replace-cross Abstract: The formation of political coalitions is a complex negotiation driven by both concrete policy objectives…
Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue
arXiv:2607.14093v1 Announce Type: new Abstract: This paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing…
Early Adoption of Agentic Coding Tools by GitHub Projects
arXiv:2607.14037v2 Announce Type: replace-cross Abstract: Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software…
Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models
arXiv:2607.14552v1 Announce Type: cross Abstract: A standard recipe for distilling the reasoning ability of large language models (LLMs) is to…
SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents
arXiv:2607.14543v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly used as the reasoning backbone of embodied agents, enabling robots…
What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors
arXiv:2607.13162v2 Announce Type: replace-cross Abstract: What a language model will and will not do is largely set during post-training, but…