{"total":21,"rows":[{"id":"2505.02922","title":"RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference","created":"2025-05-05","cited_by_count":13,"area":"inference"},{"id":"2507.06608","title":"Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving","created":"2025-07-09","cited_by_count":13,"area":"inference"},{"id":"2509.26182","title":"Parallax: Efficient LLM Inference Service over Decentralized Environment","created":"2025-09-30","cited_by_count":12,"area":"inference"},{"id":"2604.15039","title":"Prefill-as-a-Service: KVCache of Next-Generation Models Could Go Cross-Datacenter","created":"2026-04-16","cited_by_count":11,"area":"inference"},{"id":"2601.10729","title":"OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration","created":"2026-01-05","cited_by_count":6,"area":"inference"},{"id":"2602.10729","title":"BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization","created":"2026-02-11","cited_by_count":6,"area":"inference"},{"id":"2604.26837","title":"Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving","created":"2026-04-29","cited_by_count":4,"area":"inference"},{"id":"2509.16857","title":"ShadowServe: Interference-Free KV Cache Fetching for Distributed Prefix Caching","created":"2025-09-21","cited_by_count":3,"area":"inference"},{"id":"2602.07878","title":"Rethinking Latency Denial-of-Service: Attacking the LLM Serving Framework, Not the Model","created":"2026-02-08","cited_by_count":2,"area":"inference"},{"id":"2605.04357","title":"Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs","created":"2026-05-05","cited_by_count":2,"area":"inference"},{"id":"2607.28150","title":"SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache Transfer","created":"2026-07-30","cited_by_count":2,"area":"inference"},{"id":"2501.12162","title":"AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding","created":"2025-01-21","cited_by_count":1,"area":"inference"},{"id":"2512.09963","title":"GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference","created":"2025-12-10","cited_by_count":1,"area":"inference"},{"id":"2602.09725","title":"Efficient Remote KV Cache Reuse with GPU-native Video Codec","created":"2026-02-10","cited_by_count":1,"area":"inference"},{"id":"2605.22850","title":"ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse","created":"2026-05-16","cited_by_count":1,"area":"inference"},{"id":"2606.03910","title":"NetKV: Network-Aware Decode Instance Selection for Disaggregated LLM Inference","created":"2026-06-02","cited_by_count":1,"area":"inference"},{"id":"2606.18600","title":"ShuntServe: Cost-Efficient LLM Serving on Heterogeneous Spot GPU Clusters","created":"2026-06-17","cited_by_count":1,"area":"inference"},{"id":"2507.05043","title":"MoLink: Distributed and Efficient Serving Framework for Large Models","created":"2025-07-07","cited_by_count":0,"area":"inference"},{"id":"2604.21072","title":"Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization","created":"2026-04-22","cited_by_count":0,"area":"inference"},{"id":"2607.16488","title":"Auto-Scaling Heterogeneous Neural Processing Units for Energy and Cost-Efficient LLM Serving","created":"2026-07-17","cited_by_count":0,"area":"inference"},{"id":"2610.14688","title":"Accelerating Cross-Model LLM Inference via Attention Map Reuse","created":"2026-10-10","cited_by_count":0,"area":"inference"}],"next_cursor":null}