arXiv (All)
open access
Verification Reward Model for Reinforcement Learning in Chip Design Verification
We propose a Verification Reward Model (VRM) framework for training language models to create and repair chip verification artifacts. The central object is a versioned verification contract that binds requirements, permissible stimulus, observation boundaries, reference behavior, evaluation budgets,
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
- CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement Learning#1013790
- AgentDV: Closed-Loop Agentic AI for Hardware Design Verification#1104467
- Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games#1064674
- The reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agents#622630
- Computer Aided Verification#486788
Record · ID 1037030
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