arXiv (All)
open access
Arbiter: Detecting Interference in LLM Agent System Prompts
System prompts for LLM-based coding agents are software artifacts that govern agent behavior, yet lack the testing infrastructure applied to conventional software. We present Arbiter, a framework combining formal evaluation rules with multi-model LLM scouring to detect interference patterns in syste
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
- LogicHunter: Testing LLM Agent Frameworks with an Agentic Oracle#346575
- Evaluating LLM Agents on Automated Software Analysis Tasks#10421
- Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents#200543
- A Phased Workflow for Operating LLM-Based Coding Agents#818756
- A Phased Workflow for Operating LLM-Based Coding Agents#808764
Record · ID 1247347
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