arXiv (All)
open access
A2A-CaseVerify: Merkle-Linked Case-Evidence Verification for Cross-Organization A2A Workflows
Agent-to-Agent (A2A) communication enables large language model (LLM) agents to exchange tasks, messages, and artifacts across organizations. A valid message alone does not establish that a final workflow claim is supported by a complete, ordered, and case-consistent evidence path. We present A2A-Ca
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
- Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines#1105012
- The Shape of Ownership: Verifying LLM Provenance through Semantic Structures#924711
- The Shape of Ownership: Verifying LLM Provenance through Semantic Structures#920477
- Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization#1155952
- Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models#1130381
Record · ID 1118987
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