{"total":26,"rows":[{"id":"2602.12233","title":"Categorical Flow Maps","created":"2026-02-12","cited_by_count":44,"area":"diffusion"},{"id":"2602.15014","title":"Scaling Beyond Masked Diffusion Language Models","created":"2026-02-16","cited_by_count":27,"area":"diffusion"},{"id":"2605.11125","title":"Language Modeling with Hyperspherical Flows","created":"2026-05-11","cited_by_count":22,"area":"diffusion"},{"id":"2602.15008","title":"Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees","created":"2026-02-16","cited_by_count":19,"area":"diffusion"},{"id":"2605.22765","title":"Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation","created":"2026-05-21","cited_by_count":13,"area":"diffusion"},{"id":"2603.20216","title":"Locally Coherent Parallel Decoding in Diffusion Language Models","created":"2026-03-03","cited_by_count":3,"area":"diffusion"},{"id":"2603.21342","title":"Generalized Discrete Diffusion from Snapshots","created":"2026-03-22","cited_by_count":3,"area":"diffusion"},{"id":"2606.19005","title":"Sumi: Open Uniform Diffusion Language Model from Scratch","created":"2026-06-17","cited_by_count":3,"area":"diffusion"},{"id":"2606.29275","title":"Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models","created":"2026-06-28","cited_by_count":2,"area":"diffusion"},{"id":"2608.10615","title":"Simplex Relaxation for Discrete Diffusion","created":"2026-08-11","cited_by_count":2,"area":"diffusion"},{"id":"2603.19146","title":"D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding","created":"2026-03-19","cited_by_count":1,"area":"diffusion"},{"id":"2603.26675","title":"GeoBlock: Inferring Block Granularity from Dependency Geometry in Diffusion Language Models","created":"2026-03-04","cited_by_count":1,"area":"diffusion"},{"id":"2604.02340","title":"Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models","created":"2026-02-04","cited_by_count":1,"area":"diffusion"},{"id":"2604.23235","title":"Measuring Temporal Linguistic Emergence in Diffusion Language Models","created":"2026-04-25","cited_by_count":1,"area":"diffusion"},{"id":"2607.02805","title":"Training Hybrid Block Diffusion Language Models with Partial Bidirectionality","created":"2026-07-02","cited_by_count":1,"area":"diffusion"},{"id":"2607.26504","title":"From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models","created":"2026-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2608.03457","title":"LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models","created":"2026-08-04","cited_by_count":1,"area":"diffusion"},{"id":"2608.07594","title":"Scaling Inherently Interpretable Language Models","created":"2026-08-06","cited_by_count":1,"area":"diffusion"},{"id":"2601.02799","title":"Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models","created":"2026-01-06","cited_by_count":0,"area":"diffusion"},{"id":"2604.14001","title":"Diffusion Language Models for Speech Recognition","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2606.15327","title":"Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design","created":"2026-06-13","cited_by_count":0,"area":"diffusion"},{"id":"2608.06628","title":"Retrofitting Linear Attention into Diffusion Language Models","created":"2026-08-06","cited_by_count":0,"area":"diffusion"},{"id":"2609.23055","title":"Optimizers for Diffusion Models: A Controlled Benchmark","created":"2026-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2609.30977","title":"Does Uniform Discrete Diffusion Need Time?","created":"2026-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2609.35817","title":"Less Uniform Discrete Diffusion is More Powerful and Scalable","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2610.17590","title":"Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}