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Related Papers

Research papers relevant to SWARM's approach to multi-agent safety.

Core References

Market Microstructure

Kyle (1985) - Continuous Auctions and Insider Trading

The foundational model of how informed traders affect market prices. SWARM's concept of information asymmetry between agents draws directly from this work.

Glosten & Milgrom (1985) - Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders

Explains how adverse selection creates bid-ask spreads. SWARM's "quality gap" metric is analogous to this spread.

Akerlof (1970) - The Market for "Lemons": Quality Uncertainty and the Market Mechanism

The original adverse selection paper. Shows how information asymmetry can cause market collapse—a failure mode SWARM is designed to detect and prevent.

AI Safety

Distributional Safety in Agentic Systems (2025) arXiv:2512.16856

Introduces the distributional approach to AI safety that SWARM implements. Key contribution: system-level risks from sub-AGI agent interactions.

The Hot Mess Theory of AI (2026) Anthropic Alignment Forum

Argues that AGI risk may emerge from chaotic multi-agent dynamics rather than single superintelligent agents. SWARM provides empirical tools to test this hypothesis.

Multi-Agent Systems

Hammond et al. (2025) - Multi-Agent Market Dynamics arXiv:2502.14143

Studies emergent behavior in multi-agent market settings. Validated using SWARM-AgentXiv.

Papers Using SWARM

This section will be updated as research using SWARM is published.

To submit a paper for inclusion, open a PR adding your reference.

Simulation Frameworks

  • Concordia (Google DeepMind) - Generative agent simulation
  • AgentBench - Benchmark for LLM agent capabilities
  • MARL benchmarks - Multi-agent reinforcement learning

Safety Frameworks

  • METR - Model evaluation and threat research
  • ARC Evals - Dangerous capability evaluations
  • Inspect (UK AISI) - AI system inspection tools

Economic Models

  • Agent-based computational economics - Simulation of market dynamics
  • Mechanism design - Designing incentive-compatible systems

Reading List

For those new to the field, suggested reading order:

  1. Start with Akerlof (1970) - Understand adverse selection
  2. Read the SWARM theory doc - Theoretical Foundations
  3. Skim Kyle (1985) - Market microstructure details
  4. Read "Distributional Safety" - The full argument
  5. Explore SWARM code - Hands-on understanding

Contribute

Know a relevant paper we're missing? Open an issue or submit a PR.

We're particularly interested in:

  • Multi-agent coordination failures
  • Emergent behavior in AI systems
  • Governance mechanism design
  • Information asymmetry in AI deployment