arXiv (All)
open access
Quantifying Overclaiming Propensity in Frontier LLM Agents
Frontier coding agents are increasingly trusted to work autonomously for long periods of time, yet what they actually did is often hard to tell from their final response. We quantify the propensity of such agents to overclaim task completion, which may mislead the user. We operationalize overclaimin
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
- Can Agents Trust Their Skills? Uncovering Unsafe Chains of Trust in Skill-Based LLM Agents#1144032
- Can Agents Trust Their Skills? Uncovering Unsafe Chains of Trust in Skill-Based LLM Agents#1136779
- Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems#1116279
- Latent Programming Horizons in Coding Agents#343489
- GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions#1050948
Record · ID 1062664
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