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Category: AI
Approved Too Late: Verdict Staleness in LLM-Guarded Self-Adaptive Systems
arXiv:2608.26306v1 Announce Type: new Abstract: A large language model (LLM) guardrail for a self-adaptive system (SAS) may issue an approval that is…
Agent Mesh: Reliability Primitives for Non-Idempotent Agent Delegation – Identity Adequacy and Evidence Adequacy
arXiv:2608.26225v1 Announce Type: new Abstract: Autonomous agents increasingly perform bounded software tasks under an orchestrator that retries, resumes,…
GameWAM: A World Action Model for Video Games
arXiv:2608.26200v1 Announce Type: new Abstract: Modern video games combine first-person perception, rapid visual changes, persistent world state, and…
The Reasoning Tax: Token Economics of LLM Reasoning Across Task Types and Deployment Contexts
arXiv:2608.26235v1 Announce Type: new Abstract: Accuracy-only benchmarking of reasoning-capable large language models misses a central deployment…
LLM Agents for Time-Series: A Survey
arXiv:2608.26226v1 Announce Type: new Abstract: LLM-based agents are increasingly being developed for time-series problems, but their design choices vary…
Same Model, Different Harness: Different Coding-Agent Results
arXiv:2608.26218v1 Announce Type: new Abstract: A coding agent combines a model with a harness, which decides what the model sees, which tools it can use,…
Structured Evidence Routing for Incident Risk Prediction from Multimodal Longitudinal EHRs
arXiv:2608.26191v1 Announce Type: new Abstract: Incident risk prediction from longitudinal electronic health records (EHRs) is challenging because…
Benchmarking AI Agents for Hardware Design Automation via MCP Tool Calling
arXiv:2608.26199v1 Announce Type: new Abstract: We ask whether AI agents powered by locally deployed large language models can reliably automate…
Predicting Consequences and Reinforcing Navigation Policies with Latent World Models
arXiv:2608.26190v1 Announce Type: new Abstract: World models enable agents to reason about future outcomes and learn policies from their knowledge of…