AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems
arXiv 2603.04443•e3c22bacac6045a4d4acad6e2aaff985dcabbe7ae7318e4d3f8dd90fc119640c
AMV-LDuaLip-GPUGPU-acceleratorHPXLLMLeibniz-BridgeOAEPromptTunerPython-GILRDMASLOagent-memoryasynchronycompletion-fallacyconcurrencydisaggregated-inferencedistributed-graphenergy-consumptionmemory-managementno-GILprefill-decodeprompt-tuningsemantic-arrow-of-timesparse-optimizationtail-latency
Paper metadata
- arXiv ID
- 2603.04443
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- e3c22bacac6045a4d4acad6e2aaff985dcabbe7ae7318e4d3f8dd90fc119640c
- Enrichment time
- 2026-03-06T08:52:25Z
- AI-assisted enrichment
- Yes
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