LLM Supply Chain Governance: A Framework for Managing Silent Model Updates
A recent paper introduces a governance framework aimed at managing silent updates in large language models (LLMs) utilized as software dependencies. This framework tackles the issue of provider-side updates that happen without clear version alterations, potentially leading to behavioral drift and regressions in functionality, formatting, safety constraints, or other specific application needs. Current methods emphasize regression testing or versioning but lack deployer-side strategies for ensuring compatibility amid unclear model changes. The proposed framework includes three key elements: production contracts outlining permissible model behaviors, a testing suite categorized by deployment risk, and compatibility gates that prevent updates unless they satisfy established safety and performance criteria. The paper can be found on arXiv with the identifier 2604.27789.
Key facts
- arXiv paper 2604.27789 proposes a governance framework for LLM supply chain updates.
- LLM services evolve through provider-side updates without explicit version changes.
- Silent updates can cause behavioral drift and regressions in functionality, formatting, and safety.
- Existing approaches lack deployer-side mechanisms for governing compatibility.
- Framework includes production contracts, risk-category-based testing, and compatibility gates.
- Production contracts define rules for allowed model behavior.
- Risk-category-based testing organizes testing by deployment risk categories.
- Compatibility gates block updates unless safety and performance standards are met.
Entities
Institutions
- arXiv