{"work":{"id":"407ce442-cf54-4e53-89b5-f140df8d27eb","openalex_id":null,"doi":null,"arxiv_id":"2507.01467","raw_key":null,"title":"Representa- tion entanglement for generation: Training diffusion trans- formers is much easier than you think.arXiv preprint arXiv:2507.01467, 2025","authors":null,"authors_text":"Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, Jian Yang, Ming-Ming Cheng, and Xiang Li","year":2025,"venue":null,"abstract":null,"external_url":"https://arxiv.org/abs/2507.01467","cited_by_count":null,"metadata_source":"arxiv_reference","metadata_fetched_at":"2026-07-03T14:38:28.533300+00:00","pith_arxiv_id":null,"created_at":"2026-05-10T06:31:30.450941+00:00","updated_at":"2026-07-03T14:38:28.533300+00:00","title_quality_ok":true,"display_title":"Representation entanglement for generation: Training diffusion transformers is much easier than you think","render_title":"Representation entanglement for generation: Training diffusion transformers is much easier than you think"},"hub":{"state":{"work_id":"407ce442-cf54-4e53-89b5-f140df8d27eb","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":23,"external_cited_by_count":null,"distinct_field_count":3,"first_pith_cited_at":"2025-10-21T09:30:45+00:00","last_pith_cited_at":"2026-07-02T17:59:25+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":"2026-08-22T18:49:39.287184+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":7},{"context_role":"other","n":1}],"polarity_counts":[{"context_polarity":"background","n":7},{"context_polarity":"unclear","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}