Symbolic Temporal Supervision of LLM Agents Using Contracts
cs.AI, cs.LO
Submitted: 2026-09-16
Updated: 2026-09-16
Code: https://github.com/yfxiao16/ContrAgent
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents
- Securing AI Agents with Information-Flow Control
- Defeating Prompt Injections by Design
- Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
- Enforcing Temporal Constraints for LLM Agents
- SOPBench: Evaluating Language Agents at Following Standard Operating Procedures and Constraints
- VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
- Formal Policy Enforcement for Real-World Agentic Systems
- Progent: Securing AI Agents with Privilege Control
- ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction
- The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
- RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection