When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution
#multi-agent systems #attribution #execution tracing #AI accountability #text analysis #collaborative AI #debugging
📌 Key Takeaways
- Researchers propose a method for tracing contributions in multi-agent systems using only final text output.
- The technique infers agent roles and actions without access to intermediate steps or logs.
- It aims to improve accountability and attribution in collaborative AI environments.
- Potential applications include debugging, auditing, and intellectual property protection.
📖 Full Retelling
arXiv:2603.17445v1 Announce Type: new
Abstract: When a multi-agent system produces an incorrect or harmful answer, who is accountable if execution logs and agent identifiers are unavailable? Multi-agent language systems increasingly rely on structured interactions such as delegation and iterative refinement, yet the final output often obscures the underlying interaction topology and agent contributions. We introduce IET (Implicit Execution Tracing), a metadata-independent framework that enables
🏷️ Themes
AI Accountability, Multi-Agent Systems
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Original Source
arXiv:2603.17445v1 Announce Type: new
Abstract: When a multi-agent system produces an incorrect or harmful answer, who is accountable if execution logs and agent identifiers are unavailable? Multi-agent language systems increasingly rely on structured interactions such as delegation and iterative refinement, yet the final output often obscures the underlying interaction topology and agent contributions. We introduce IET (Implicit Execution Tracing), a metadata-independent framework that enables
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