{"work":{"id":"3ee0ee57-31b9-49d4-98fc-c12c499a14b9","openalex_id":null,"doi":null,"arxiv_id":"2507.22058","raw_key":null,"title":"X-Omni: Reinforcement learning makes discrete autoregressive image generative models great again, 2025","authors":null,"authors_text":"Zigang Geng, Yibing Wang, Yeyao Ma, Chen Li, Yongming Rao, Shuyang Gu, Zhao Zhong, Qinglin Lu, Han Hu, Xiaosong Zhang, Linus, Di Wang, and Jie Jiang","year":2025,"venue":null,"abstract":null,"external_url":"https://arxiv.org/abs/2507.22058","cited_by_count":null,"metadata_source":"arxiv_reference","metadata_fetched_at":"2026-07-04T13:39:51.493261+00:00","pith_arxiv_id":null,"created_at":"2026-05-09T06:55:43.939934+00:00","updated_at":"2026-07-04T13:39:51.493261+00:00","title_quality_ok":true,"display_title":"X-omni: Reinforcement learning makes discrete autoregressive image generative models great again","render_title":"X-omni: Reinforcement learning makes discrete autoregressive image generative models great again"},"hub":{"state":{"work_id":"3ee0ee57-31b9-49d4-98fc-c12c499a14b9","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":29,"external_cited_by_count":null,"distinct_field_count":3,"first_pith_cited_at":"2025-08-04T11:49:20+00:00","last_pith_cited_at":"2026-06-30T17:59:57+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-07-06T09:09:02.466688+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"baseline","n":3},{"context_role":"background","n":2},{"context_role":"dataset","n":2}],"polarity_counts":[{"context_polarity":"baseline","n":3},{"context_polarity":"background","n":2},{"context_polarity":"use_dataset","n":2}],"runs":{},"summary":{},"graph":{},"authors":[]}}