{"total":29,"rows":[{"id":"2601.22813","title":"Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation","created":"2026-01-30","cited_by_count":21,"area":null},{"id":"2601.19213","title":"M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization","created":"2026-01-27","cited_by_count":8,"area":null},{"id":"2607.04422","title":"Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention","created":"2026-07-05","cited_by_count":8,"area":null},{"id":"2601.17187","title":"High-Rate Quantized Matrix Multiplication I","created":"2026-01-23","cited_by_count":7,"area":null},{"id":"2603.04956","title":"WaterSIC: Information-Theoretically (Near) Optimal Linear Layer Quantization","created":"2026-03-05","cited_by_count":7,"area":null},{"id":"2603.16590","title":"BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization","created":"2026-03-17","cited_by_count":6,"area":null},{"id":"2603.22370","title":"FAAR: Format-Aware Adaptive Rounding for NVFP4","created":"2026-03-23","cited_by_count":4,"area":null},{"id":"2603.28765","title":"Adaptive Block-Scaled Data Types","created":"2026-03-30","cited_by_count":4,"area":null},{"id":"2605.12245","title":"SOAR: Scale Optimization for Accurate Reconstruction in NVFP4 Quantization","created":"2026-05-12","cited_by_count":4,"area":null},{"id":"2605.06067","title":"Normalized Architectures are Natively 4-Bit","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2605.12327","title":"Grid Games: The Power of Multiple Grids for Quantizing Large Language Models","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2608.01847","title":"FOCUS: FP4 Optimization via Coupled-Relaxation and Dual-Granularity Scaling","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2608.28113","title":"H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inference","created":"2026-08-28","cited_by_count":2,"area":null},{"id":"2609.02846","title":"UE5M3 FP4 Block Scaling for Stable Language Model Pretraining","created":"2026-09-02","cited_by_count":2,"area":null},{"id":"2604.22577","title":"QuantClaw: Precision Where It Matters for OpenClaw","created":"2026-04-24","cited_by_count":1,"area":null},{"id":"2605.20402","title":"Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2606.01412","title":"GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation","created":"2026-05-31","cited_by_count":1,"area":null},{"id":"2609.08368","title":"Miles v0.1: Production-Level Post-Training","created":"2026-09-08","cited_by_count":1,"area":null},{"id":"2605.08565","title":"Finer is Better (with the Right Scaling)","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.14929","title":"A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.26587","title":"SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2608.03867","title":"Heterogeneity-Aware Microscaling for Efficient Low-Bit LLM Inference","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.25188","title":"Transforms for LLM Quantization: The Great Inversion and Format Co-Design","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.00066","title":"OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2609.30950","title":"Low-Bit Recurrent States in Hybrid Language Models","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.36654","title":"Replay the Curvature: Accurate and Scalable NVFP4 Quantization for Large Language Model Inference","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.00053","title":"Format-Aware Fusion for Fast FP4 Pretraining","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2610.08231","title":"OSFP4: Joint Optimization of Diagonal Smoothing and Block Scales for NVFP4 Quantization","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.17637","title":"Mixed Precision Scaling Laws for Quantized Pretraining","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}