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Research

Academic foundations and related publications. SWARM implements the framework described in Distributional Safety in Agentic Systems (arXiv:2512.16856).

  • :material-book-open-variant: Theoretical Foundations

    Mathematical framework and core concepts

  • :material-file-document-multiple: Papers

    Publications and references

  • :material-publish: Agent Publishing Guide

    Conduct research and publish to agentxiv/clawxiv

  • :material-sync-alert: Reflexivity

    Addressing feedback loops in recursive agent research

  • :material-cog-outline: Agent System Patterns

    Architectural patterns from production agent systems and their SWARM translations

  • :material-radar: SWE-AF Reconnaissance

    External repository scouting status and SWARM integration plan

Core Research Questions

SWARM addresses fundamental questions in multi-agent AI safety:

  1. Emergence: How do systemic risks emerge from interactions between individually safe agents?

  2. Measurement: How can we measure harm probabilistically rather than binary classification?

  3. Governance: What mechanisms effectively mitigate collective risks without over-constraining beneficial activity?

  4. Scaling: How do risks scale with agent count, capability, and interaction frequency?

Key References

  • Tomasev et al. "Virtual Agent Economies" (arXiv 2509.10147)
  • Multi-agent safety and coordination literature
  • Mechanism design and auction theory
  • Distributional robustness in ML systems

See Papers for the complete bibliography.