DeltaBox achieves 14 ms checkpoint and 5 ms rollback for AI agent sandboxes via layered DeltaFS and incremental DeltaCR mechanisms that exploit similarity between consecutive states.
arXiv:2509.00531 [cs.MA] https://arxiv.org/abs/2509.00531
4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4representative citing papers
EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.
SE-GA combines Test-Time Memory Extension for dynamic context retrieval with Memory-Augmented Self-Evolution training to reach 89.0% on ScreenSpot and 75.8% on AndroidControl-High.
citing papers explorer
-
DeltaBox: Scaling Stateful AI Agents with Millisecond-Level Sandbox Checkpoint/Rollback
DeltaBox achieves 14 ms checkpoint and 5 ms rollback for AI agent sandboxes via layered DeltaFS and incremental DeltaCR mechanisms that exploit similarity between consecutive states.
-
EdgeFlow: Fast Cold Starts for LLMs on Mobile Devices
EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.