{"total":24,"rows":[{"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":"2512.02337","title":"SpecPV: Improving Self-Speculative Decoding for Long-Context Generation via Partial Verification","created":"2025-12-02","cited_by_count":7,"area":"inference"},{"id":"2608.27513","title":"DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization","created":"2026-08-27","cited_by_count":6,"area":"inference"},{"id":"2605.19660","title":"OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond","created":"2026-05-19","cited_by_count":5,"area":"inference"},{"id":"2606.09659","title":"End-to-End Context Compression at Scale","created":"2026-06-08","cited_by_count":4,"area":"inference"},{"id":"2603.20397","title":"KV Cache Optimization Strategies for Scalable and Efficient LLM Inference","created":"2026-03-20","cited_by_count":3,"area":"inference"},{"id":"2605.19049","title":"KVBuffer: IO-aware Serving for Linear Attention","created":"2026-05-18","cited_by_count":3,"area":"inference"},{"id":"2608.01651","title":"Bole: Efficient Tree Speculation for Hybrid-Attention Language Models","created":"2026-08-03","cited_by_count":3,"area":"inference"},{"id":"2605.06221","title":"UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification","created":"2026-05-07","cited_by_count":2,"area":"inference"},{"id":"2606.06467","title":"You Only Index Once: Cross-Layer Sparse Attention with Shared Routing","created":"2026-06-04","cited_by_count":2,"area":"inference"},{"id":"2610.13778","title":"ReplaySSM: Cache SSM Inputs, Not State","created":"2026-10-09","cited_by_count":2,"area":"inference"},{"id":"2606.09862","title":"Blurry Window Attention","created":"2026-05-31","cited_by_count":1,"area":"inference"},{"id":"2606.16429","title":"Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation","created":"2026-06-15","cited_by_count":1,"area":"inference"},{"id":"2608.15533","title":"DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding","created":"2026-08-16","cited_by_count":1,"area":"inference"},{"id":"2609.32610","title":"KV-Lingo: Learning KV-Cache Translators with Distillation","created":"2026-09-26","cited_by_count":1,"area":"inference"},{"id":"2605.20936","title":"DASH: Fast Differentiable Architecture Search for Hybrid Attention in Minutes on a Single GPU","created":"2026-05-20","cited_by_count":0,"area":"inference"},{"id":"2605.21649","title":"EntmaxKV: Support-Aware Decoding for Entmax Attention","created":"2026-05-20","cited_by_count":0,"area":"inference"},{"id":"2609.03949","title":"VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial Branch","created":"2026-09-03","cited_by_count":0,"area":"inference"},{"id":"2609.26763","title":"SARA: SLO-Aware Resource Allocation for Disaggregated Agentic LLM Services","created":"2026-09-22","cited_by_count":0,"area":"inference"},{"id":"2609.27470","title":"DeltaS: Reading the Gated Linear Attention State for KV Cache Eviction in Streaming Video","created":"2026-09-23","cited_by_count":0,"area":"inference"},{"id":"2609.37626","title":"SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM Serving","created":"2026-09-29","cited_by_count":0,"area":"inference"},{"id":"2609.38169","title":"STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization","created":"2026-09-29","cited_by_count":0,"area":"inference"},{"id":"2609.39972","title":"UBTree: Parallel Tree Drafting via Unigram and Bigram Models for Speculative Decoding","created":"2026-09-30","cited_by_count":0,"area":"inference"},{"id":"2610.18654","title":"Kwai Summary Attention V2 Technical Report","created":"2026-10-13","cited_by_count":0,"area":"inference"}],"next_cursor":null}