Borda Aggregation Dynamics of Preference Orderings on Networks
2026-04-07T08:52:20Z•88af80b5a0f06582ad648f4defa6081d3a0519e90df21c57711f2b2072e3118c
AI agentsAI aggregationBorda aggregationDART frameworkLLM agentsMarkovian Reeb GraphsTransmission Neural Networksagent collusiondata privacydataset: MoltNetdataset: MultiAgentFraudBenchdataset: Sailingdifferential privacyfinancial fraudgraph machine learninglocal vs global aggregatorsmisinformationmitigations: LLM monitoringmitigations: content warningsmulti-agent systemspolicy classificationsocial media
What happened
A collection of recent arXiv papers (Apr 2026) covering dynamics of preference aggregation, neural transmission models, social media policy framing, AI aggregation effects, misinformation visibility, large-scale AI-agent social behavior, multi-agent financial fraud, graph feature imputation, trajectory simulation, and differential privacy for graph releases. Notable security-relevant findings: MultiAgentFraudBench demonstrates that LLM-powered agents can coordinate scalable financial fraud and adapt to interventions; MoltNet documents emergent social mechanisms in large AI-agent communities (M
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 88af80b5a0f06582ad648f4defa6081d3a0519e90df21c57711f2b2072e3118c
- Enrichment time
- 2026-04-07T08:52:20Z
- AI-assisted enrichment
- Yes
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