GROB: A Multi-Agent Architecture for Public-Trace Investigation of Candidate Agentic Activity
We present GROB, a multi-agent architecture for investigating candidate autonomous-agent activity through public Internet traces when privileged telemetry is unavailable.
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Key points
- The system performs controlled, read-only collection of public traces and preserves selected observations for later resolution.
- In a frozen September 2026 corpus, several collected traces became more informative as additional public evidence emerged.
- Other results show weaker links between traces collected by GROB and evidence reconstructed or reported later.
- Execution identity presents a separate problem, as continuity of agent identity remains an active research question for autonomous language-model agents.
Sources (1)
- [1]GROB: A Multi-Agent Architecture for Public-Trace Investigation of Candidate Agentic ActivityarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 08:17 AM
We present GROB, a multi-agent architecture for investigating candidate autonomous-agent activity through public Internet traces when privileged telemetry is unavailable.
The system performs controlled, read-only collection of public traces and preserves selected observations for later resolution.
Extractive summary: sentences quoted from the sources.