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LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
Exploring new protocols to enhance the capabilities of multi-agent AI systems.
editorial-staff
1 min read
Updated about 1 month ago
Summary
Summary
- Addresses limitations of current protocols like A2A and MCP.
- Focuses on exposing model-level properties.
- Aims to improve communication between AI agents.
Key Facts
| Fact | Value |
|---|---|
| Publication Date | March 11, 2026 |
| Source | ArXiv AI |
| Abstract | As multi-agent AI systems grow in complexity, the protocols connecting them constrain their capabilities. |
Sources
- ArXiv AI: https://arxiv.org/abs/2603.08852
Key Facts
| Fact | Value |
|---|---|
| Primary source | ArXiv AI |
| Source count | 2 |
| First published | 2026-03-11T04:00:00.000Z |
Updates
Update at 04:00 UTC on 2026-03-11
ArXiv AI reported Exploring the evolution of evaluation frameworks for LLM-based agentic systems.
Sources: ArXiv AI
Sources
- ArXiv AI: https://arxiv.org/abs/2603.08852
- ArXiv AI: https://arxiv.org/abs/2603.08835