Public articles linked to the same research event.
arXiv The authors introduce AECG, a multi-agent memory governance framework that combines scope preservation, asymmetric evidence admission, dual-timescale reliability estimation, and downstream-exposure-aware budgeted review to turn memory from static storage into a reliability-governance loop; across three frameworks (AutoGen, MacNet, AgentNet) and four benchmarks (PDDL, FEVER, ScienceWorld, MBPP-Plus), AECG achieves the best score in 11 of 12 settings, improving over the strongest memory baseline by up to 10.23 percentage points, while removing scope preservation reduces accuracy by up to 16.89 points.
The authors introduce AECG, a multi-agent memory governance framework that combines scope preservation, asymmetric evidence admission, dual-timescale reliability estimation, and downstream-exposure-aware budgeted review to turn memory from static storage into a reliability-governance loop; across three frameworks (AutoGen, MacNet, AgentNet) and four benchmarks (PDDL, FEVER, ScienceWorld, MBPP-Plus), AECG achieves the best score in 11 of 12 settings, improving over the strongest memory baseline by up to 10.23 percentage points, while removing scope preservation reduces accuracy by up to 16.89 points.
The authors introduce AECG, a multi-agent memory governance framework that combines scope preservation, asymmetric evidence admission, dual-timescale reliability estimation, and downstream-exposure-aware budgeted review to turn memory from static storage into a reliability-governance loop; across three frameworks (AutoGen, MacNet, AgentNet) and four benchmarks (PDDL, FEVER, ScienceWorld, MBPP-Plus), AECG achieves the best score in 11 of 12 settings, improving over the strongest memory baseline by up to 10.23 percentage points, while removing scope preservation reduces accuracy by up to 16.89 points.
The authors introduce AECG, a multi-agent memory governance framework that combines scope preservation, asymmetric evidence admission, dual-timescale reliability estimation, and downstream-exposure-aware budgeted review to turn memory from static storage into a reliability-governance loop; across three frameworks (AutoGen, MacNet, AgentNet) and four benchmarks (PDDL, FEVER, ScienceWorld, MBPP-Plus), AECG achieves the best score in 11 of 12 settings, improving over the strongest memory baseline by up to 10.23 percentage points, while removing scope preservation reduces accuracy by up to 16.89 points.