{"publication_id":"0df073d3-1e40-4543-8a44-43022c2dc543","traces":[{"claim_id":"claim_1","claim":"This evidence map surveys 40 independent multi agent systems improvement sources drawn from the Tier-2 corpus and classified as direct findings. They span several populations, comparators, and endpoints and are catalogued by source in the Findings Map rather than pooled into one estimate — cross-population aggregation is not claimed. Each row records its own population, comparator, endpoint, and effect, so the spread of the literature and any tensions between findings remain explicit.","candidate_sources":[{"study":"FraudSentinel: Federated Multi-Agent Reinforcement Learning for Privacy-Preserving Cross-Marketplace Fraud Detection in Distributed E-Commerce Ecosystems","doi":"10.1109/icaic67076.2026.11395673","url":null},{"study":"Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge","doi":"10.48550/arxiv.2602.09341","url":null},{"study":"Digital twin-enhanced multi-agent reinforcement learning for distributed control of collaborative robotic arms in angle steel tower dismantling","doi":"10.1088/2631-8695/ae3b9e","url":null},{"study":"Multi-Agent Reinforcement Learning for Dynamic and Resilient Healthcare Supply Chain Optimization","doi":"10.1109/iconic67661.2026.11517785","url":null},{"study":"Risk-Aware Reinforcement Learning for Cooperative Autonomous Vehicle Coordination with Adaptive Risk Sensitivity and Multi-Agent Optimization","doi":"10.4108/eetiot.10944","url":null}]},{"claim_id":"claim_2","claim":"| multi agent systems accuracy tasks | single-agent system | Our results suggest that the multi-agent system (MAS) performed better than the single-age… | 2025 doi:10.1109/cibcb66090.2025.11177136 |","candidate_sources":[{"study":"FraudSentinel: Federated Multi-Agent Reinforcement Learning for Privacy-Preserving Cross-Marketplace Fraud Detection in Distributed E-Commerce Ecosystems","doi":"10.1109/icaic67076.2026.11395673","url":null},{"study":"Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge","doi":"10.48550/arxiv.2602.09341","url":null},{"study":"Digital twin-enhanced multi-agent reinforcement learning for distributed control of collaborative robotic arms in angle steel tower dismantling","doi":"10.1088/2631-8695/ae3b9e","url":null},{"study":"Multi-Agent Reinforcement Learning for Dynamic and Resilient Healthcare Supply Chain Optimization","doi":"10.1109/iconic67661.2026.11517785","url":null},{"study":"Risk-Aware Reinforcement Learning for Cooperative Autonomous Vehicle Coordination with Adaptive Risk Sensitivity and Multi-Agent Optimization","doi":"10.4108/eetiot.10944","url":null}]}]}