TrustFlow: Topic-Aware Vector Reputation Propagation for Multi-Agent Ecosystems
We introduce TrustFlow, a reputation propagation algorithm that assigns each software agent a multi-dimensional reputation vector rather than a scalar score. Reputation is propagated through an interaction graph via topic-gated transfer operators that modulate each edge by its content embedding, with convergence to a unique fixed point guaranteed by the contraction mapping theorem. We develop a family of Lipschitz-1 transfer operators and composable information-theoretic gates that achieve up to 98% multi-label Precision@5 on dense graphs and 78% on sparse ones. On a benchmark of 50 agents across 8 domains, TrustFlow resists sybil attacks, reputation laundering, and vote rings with at mos...
| Authors | Volodymyr Seliuchenko |
|---|---|
| Primary category | cs.MA |
| Published | 19 March 2026 |
| Last updated at source | 19 March 2026 |
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