{"total":26,"rows":[{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2510.22510","title":"CANDI: Hybrid Discrete-Continuous Diffusion Models","created":"2025-10-26","cited_by_count":34,"area":"diffusion"},{"id":"2510.17206","title":"Soft-Masked Diffusion Language Models","created":"2025-10-20","cited_by_count":16,"area":"diffusion"},{"id":"2605.06548","title":"Continuous Latent Diffusion Language Model","created":"2026-05-07","cited_by_count":14,"area":"diffusion"},{"id":"2601.07351","title":"Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models","created":"2026-01-12","cited_by_count":6,"area":"diffusion"},{"id":"2602.21472","title":"The Design Space of Tri-Modal Masked Diffusion Models","created":"2026-02-25","cited_by_count":6,"area":"diffusion"},{"id":"2605.23605","title":"DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling","created":"2026-05-22","cited_by_count":4,"area":"diffusion"},{"id":"2512.05092","title":"Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction","created":"2025-12-04","cited_by_count":2,"area":"diffusion"},{"id":"2606.27617","title":"Masked Language Flow Models","created":"2026-06-26","cited_by_count":2,"area":"diffusion"},{"id":"2607.10951","title":"Sticky Jump Diffusions: A Unifying View of Masked, Continuous, and Hybrid Diffusion","created":"2026-07-12","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":"2609.04531","title":"Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One","created":"2026-09-03","cited_by_count":2,"area":"diffusion"},{"id":"2602.18695","title":"Insertion Based Sequence Generation with Learnable Order Dynamics","created":"2026-02-21","cited_by_count":1,"area":"diffusion"},{"id":"2605.00360","title":"Binomial flows: Denoising and flow matching for discrete ordinal data","created":"2026-05-01","cited_by_count":1,"area":"diffusion"},{"id":"2605.10518","title":"Infinite Mask Diffusion for Few-Step Distillation","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2607.14106","title":"Token Time Continuous Diffusion for Language Modeling","created":"2026-05-07","cited_by_count":1,"area":"diffusion"},{"id":"2607.19686","title":"Multi-Mask Diffusion Language Models for Few-Step Generation","created":"2026-07-22","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":"2510.18114","title":"Latent-Augmented Discrete Diffusion Models","created":"2025-10-20","cited_by_count":0,"area":"diffusion"},{"id":"2604.15009","title":"Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching","created":"2026-04-16","cited_by_count":0,"area":"diffusion"},{"id":"2605.13026","title":"Understanding and Accelerating the Training of Masked Diffusion Language Models","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2607.21519","title":"Diffusion Language Model for Recommendation","created":"2026-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2610.00894","title":"Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.02193","title":"Hierarchical Continuous Diffusion Language Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.02754","title":"Jumping up and down: Denoiser diffusion models for discrete ordinal data","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.13834","title":"On the Design Space of Continuous Diffusion Language Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}