{"total":17,"rows":[{"id":"2512.00425","title":"What about gravity in video generation? Post-Training Newton's Laws with Verifiable Rewards","created":"2025-11-29","cited_by_count":25,"area":"diffusion"},{"id":"2509.24007","title":"Sequential Diffusion Language Models","created":"2025-09-28","cited_by_count":19,"area":"diffusion"},{"id":"2510.17206","title":"Soft-Masked Diffusion Language Models","created":"2025-10-20","cited_by_count":16,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2604.02560","title":"Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models","created":"2026-04-02","cited_by_count":8,"area":"diffusion"},{"id":"2505.08803","title":"Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models","created":"2025-05-10","cited_by_count":5,"area":"diffusion"},{"id":"2510.08369","title":"Guided Star-Shaped Masked Diffusion","created":"2025-10-09","cited_by_count":5,"area":"diffusion"},{"id":"2509.20863","title":"GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models","created":"2025-09-25","cited_by_count":4,"area":"diffusion"},{"id":"2605.29626","title":"DLM-SWAI: Steering Diffusion Language Models Before They Unmask","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2601.22450","title":"Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity","created":"2026-01-30","cited_by_count":1,"area":"diffusion"},{"id":"2602.00350","title":"ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2605.24173","title":"Extracting Training Data from Diffusion Language Models via Infilling","created":"2026-05-22","cited_by_count":0,"area":"diffusion"},{"id":"2605.27736","title":"Explicit Critic Guidance for Aligning Diffusion Models","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.29066","title":"$x$-Prediction Flow: Efficient Continuous Decoding for Masked Diffusion Language Models","created":"2026-06-27","cited_by_count":0,"area":"diffusion"},{"id":"2608.01717","title":"Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language Models","created":"2026-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2608.03769","title":"MDLMPE: Distribution Aware Positional Encoding for Masked Diffusion Language Models","created":"2026-08-04","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"}],"next_cursor":null}