mlsanityData to 7 Oct 2026

WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks

arXiv 2608.03499 ↗First posted 4 Aug 2026cs.AIcited by 1

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Abstract (arXiv)

Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment targets: each user can be served by an AI agent that acts on the user's behalf, maintains state, and communicates with other agents through social and task relations. In these networks, everyday tool use becomes multi-party owned-agent collaboration over personal workspaces, where files, records, tools, and policies are not directly visible across owners. Existing agent benchmarks study tool use and collaboration, but they do not provide an end-to-end sandbox for verifiable cross-user agent collaboration with realistic user digital workspaces or test how harmful actions can travel through the human-centered agent network. We introduce WeClawArena, an auditable benchmark and runtime sandbox for multi-party owned-agent collaboration over personal workspaces. WeClawArena targets collaborative tool-use tasks in which personal workspaces serve as both operational tools and personal constraints. The benchmark contains 124 base tasks across six cross-user task domains and expands them into 620 scenario variants, with one benign control and four attack-vector variants per base task. The sandbox records peer messages, tool calls, resource operations, governed decisions, and final workspace states. WeClawArena reports utility and attack success rate separately and audits attack success from bounded runtime evidence, supporting diagnosis of task breakdown, privacy leakage, poisoned evidence, and invalid authority paths.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 33 of its 42 references that are in the map. First posted on arXiv 4 Aug 2026.

Builds on

33 of 42 references.

References · 33

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  4. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
  5. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  6. 2024τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domainscited by 1,280
  7. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,134
  8. 2023GAIA: a benchmark for General AI Assistantscited by 1,084
  9. 2025τ2-Bench: Evaluating Conversational Agents in a Dual-Control Environmentcited by 558
  10. 2025Group-in-Group Policy Optimization for LLM Agent Trainingcited by 442
  11. 2024AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agentscited by 359
  12. 2025RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learningcited by 357
21 more
  1. 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 348
  2. 2024ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilitiescited by 272
  3. 2026SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learningcited by 252
  4. 2023Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theorycited by 218
  5. 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Societycited by 180
  6. 2024PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Actioncited by 161
  7. 2025Reinforcement Learning for Long-Horizon Interactive LLM Agentscited by 103
  8. 2025Agent Lightning: Train ANY AI Agents with Reinforcement Learningcited by 94
  9. 2025Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environmentscited by 93
  10. 2025Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignmentcited by 77
  11. 2025Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translationcited by 37
  12. 2025MAGPIE: A benchmark for Multi-AGent contextual PrIvacy Evaluationcited by 27
  13. 2026"Humans welcome to observe": A First Look at the Agent Social Network Moltbookcited by 25
  14. 2025Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challengescited by 12
  15. 2026MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBookcited by 12
  16. 2025Topology Matters: Measuring Memory Leakage in Multi-Agent LLMscited by 9
  17. 2026Agent Audit: A Security Analysis System for LLM Agent Applicationscited by 8
  18. 2026Counterfactual Trace Auditing of LLM Agent Skillscited by 8
  19. 2026AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networkscited by 7
  20. 2026When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agentscited by 5
  21. 2026PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric Agentcited by 2

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