References from draft-das-protocols-enterprise-ai
These dependencies are extracted using heuristics looking for strings with particular prefixes. Notably, this means that references to I-Ds by title only are not reflected here. If it's really important, please inspect the documents' references sections directly.
| Document | Title | Status | Type | Downref |
|---|---|---|---|---|
| draft-das-agentic-execution-finality |
Tool Selection Is Not Execution: Finality for Agentic Tool Dispatch in High-Risk AI Systems
References Referenced by |
informatively references | ||
| draft-das-agentic-tool-binding |
tool_use Is Not invoke(): Binding Execution-Finality to Agentic Tool-Call Interfaces and MCP
References Referenced by |
informatively references | ||
| draft-das-digital-sovereignty-finality |
When Data Leaves Its Originating Jurisdiction, Who Controls It? Digital Sovereignty Without Data Localisation by Separating the Compute Plane from the Authority Plane
References Referenced by |
informatively references | ||
| draft-das-enterprise-ai-output-finality |
The Missing Piece for High-Value Confidential Enterprise AI: Non-Joinable Vaults and Output-Release Finality for Banking, Defence, and Public-Sector Deployments
References Referenced by |
informatively references | ||
| draft-das-eu-ai-act-execution-enforcement |
Technical Enforcement of the EU AI Act and Global AI Laws for High-Risk AI Systems Without Relying on Paper Policies
References Referenced by |
informatively references | ||
| draft-das-execution-finality-protocol-layer |
The Missing Protocol Layer for the Agentic Internet: Computation Is Not Authority
References Referenced by |
informatively references | ||
| draft-das-purpose-execution-finality |
Data-Purpose Laundering Prevention: Execution-Finality for Preventing Cross-Domain Data Reuse
References Referenced by |
informatively references | ||
| draft-das-rats-frontier-model-extraction |
An Execution-Finality Architecture for Controlling Release and Limiting Unauthorized Extraction and Distillation of Sensitive, High-Priority Frontier AI Model Information
References Referenced by |
informatively references |