arXiv (All)
open access
AgentBoundary: Counterfactual Evaluation of Safety in Tool-Using LLM Agents
Safety alignment for large language models (LLMs) in conversational settings is largely framed around whether to answer or refuse a request. In agentic settings, however, the same models must decide whether to act as permission-critical evidence emerges during execution. This creates a distinct chal
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Third Position: What the Assistant Axis Cannot See#104454
- Code-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code#1013799
- Code-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code#978500
- BlueSTAR: Tiered Agentic Architecture for Autonomous Cyber Defense#999533
- When Do Model Internals Help? Exploring the Role of Representation Engineering in LLM Safety#1129392
Record · ID 1118731
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive