Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:29.941357Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 100 of 293 outbound references and 0 inbound Pith citation observations for arXiv:2608.12276.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:29.941357Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 293 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ae7a894b-2ca8-449d-812e-e94cf0aea9ae · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICLR , year=
Reference 1
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Observation c63acc0f-92c3-4626-ade5-ceaa74f2800f · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Reference 2
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Observation 2b90d420-33e4-49ba-96e2-e93e873dded4 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Qwen Technical Report
Reference 3
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Observation 509f9680-5356-4b24-9c42-e165699b165d · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Journal of Machine Learning Research , volume=
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Observation a2d93bd2-880e-42de-bb13-b9be9b28d9f7 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Gemini: A Family of Highly Capable Multimodal Models
Reference 5
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Observation faa4df9c-26ed-4ea9-a8bb-81488081d9dc · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling The Llama 3 Herd of Models
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Observation 928e18ba-261f-440d-a126-1af9a5951919 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 7
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Observation a3d70d31-22c6-4f7d-880d-9b612783c871 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
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Observation eb909a2c-2d45-4e1f-9114-ec6f56c7fc38 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
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Observation 1ffa0eff-1adf-4711-8bc0-693dfeba00b5 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Large Scale GAN Training for High Fidelity Natural Image Synthesis
Reference 10
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Observation 9b7bd4d8-1800-42d6-bfdf-637d7632f6f8 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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Observation 2042bd8a-d498-4c2e-9b39-60ef1a212655 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
Reference 12
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Observation b2652670-4793-4b1b-b3b2-3e01d3b5dd29 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ECCV , year=
Reference 13
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Observation 1571b0ee-3d9a-4079-99c8-25cc2f3f6470 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICCV , year=
Reference 14
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Observation 0ee65f3a-6fd9-49cb-bc85-5bcb2ca716e7 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Disorder in Andreev reflection of a quantum Hall edge
Reference 15
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Observation d598f7c5-8946-4227-81b4-87e26c434e1c · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Return of Unconditional Generation: A Self-supervised Representation Generation Method , year =
Reference 16
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Observation d9234d8c-c048-4f22-b427-6df2d33f77ac · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Mean Flows for One-step Generative Modeling
Reference 17
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Observation c74f1261-69d9-40b6-b0c2-f173c98bf5c6 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Transition Matching: Scalable and Flexible Generative Modeling
Reference 19
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Observation 6c015523-925c-4acc-b00a-2025465ec6a6 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
Reference 20
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Observation d5af6db2-ffad-4cb4-902a-a274d6bd18cf · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Building Normalizing Flows with Stochastic Interpolants
Reference 21
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Observation efe64f62-8ed3-4634-b50e-63a2cbff0ec2 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=
Reference 22
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Observation 27508c57-9aa1-418e-b2ef-53dc0b8217b8 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
Reference 23
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Observation b28df356-0d4a-48d0-bc49-cfc2dce27f51 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Layer Normalization
Reference 24
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Observation 0b6f9a9f-d791-4066-81dd-cc8bb2865e04 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 25
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Observation f7ced0f6-f9af-491b-8a00-e0a33b30d5d5 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 26
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Observation 1fc5205b-8d1c-43ea-82f7-5381f41bfa97 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 27
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Observation 6689daa9-6420-4a22-b78b-aa3f8075e5e1 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
Reference 28
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Observation 3448985d-4932-48f4-b6c9-714e2cb1f507 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Reference 29
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Observation 435b3d51-9819-4d71-997a-cbf97cd1f0f5 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 30
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Observation 14184933-fca1-44f1-a31e-0e232c6f0fac · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 31
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Observation d204a963-a574-40b2-84c6-88ecfabb0c54 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Journal of Machine Learning Research , volume=
Reference 32
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Observation 44bbe8ee-785d-4284-baba-ed05bb6cda17 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Large-dit-imagenet , url=
Reference 33
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Observation 8a0c79b7-9be6-4b03-9420-afea6c8357ad · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 34
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Observation dfe52f0a-3c19-44cc-a5a0-afda194b46e5 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 35
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Observation 34befc36-3a4c-4f10-9f6d-20ba1650afae · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 36
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Observation 20eb5ceb-87dd-427b-a4dc-9b62452aa60e · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 37
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Observation c0cf535e-446a-4f79-b98b-1e1b84fafa0b · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 38
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Observation ae5be7bb-ed60-412a-9065-929c9bf6c5df · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 39
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Observation 09e3fbd1-2c55-4e63-8f6b-008dd57662ed · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Reference 40
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Observation eb467768-e22c-42c1-b435-f51b9a65914c · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Autoregressive Pretraining with Mamba in Vision
Reference 41
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Observation 0d56c45b-373a-4236-948b-07a0a0d4f5ca · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Dimba: Transformer-Mamba Diffusion Models
Reference 42
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Observation 70dae6f5-34a5-4149-b5f0-f9d655dfad19 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 43
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Observation 5cb83cac-2a5a-40ab-9b7e-fb4a1834950d · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 44
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Observation 3d0f1e2d-657d-4a4c-a44d-3ec8e5b64d00 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 45
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Observation 2405d889-2a8b-470d-ad29-1d7fcb945e1e · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 46
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Observation 6f6fe7e4-0c92-4b1d-bedb-b54939b4fea1 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Neural computation , volume=
Reference 47
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Observation 7dd1c9c9-d542-4e8c-b08f-c2c0c61bc234 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Randomized Autoregressive Visual Generation
Reference 48
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Observation d8c9527c-99fe-4ade-8a0d-835f1dd4e676 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Vector-quantized Image Modeling with Improved VQGAN
Reference 49
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Observation 5aa15114-c872-46cf-8f7b-0af03e50f561 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 50
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Observation 3314cc77-eeb5-4ce7-8247-b5b9a7aedf0b · outbound
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Reference 51
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Observation 4aca7c08-a9fb-4191-85a5-bd024e6f74dc · outbound
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Reference 52
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Observation 26b9000e-fe0e-4d51-8878-bb047c9482c7 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 53
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Observation d7c819f3-df6c-49ff-b1c5-33a7720dfdfe · outbound
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Reference 54
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Observation 78120551-c619-4749-a8b9-3b282aef6543 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling GPT-4 Technical Report
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Observation 501a74a1-60db-4381-8605-30e8d86092ae · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Proceedings of the IEEE , volume=
Reference 56
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Observation 206afeae-32e9-4529-b20c-15ebbfd3b2b8 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 57
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Observation f93204bb-ba84-4060-8255-57bfcabf357a · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling arXiv preprint arXiv:2408.12245 , year=
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Observation 280ba9de-734f-48ad-a934-a2e904e4e438 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Efficiently Modeling Long Sequences with Structured State Spaces
Reference 59
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 60
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Observation 47319e62-a617-4405-a693-fa08c047d5bd · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Long Range Language Modeling via Gated State Spaces
Reference 61
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Observation 71b784e7-905a-4b34-8a3e-5318563eb066 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections
Reference 62
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Observation 6f80e33d-6e15-4100-96e6-ccababf3f677 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 63
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MaskBit: Embedding-free Image Generation via Bit Tokens
Reference 64
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 65
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Parallelized Autoregressive Visual Generation
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling and Ermon, Stefano and Rudra, Atri and R
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 68
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling LLaMA: Open and Efficient Foundation Language Models
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling International Conference on Artificial Intelligence and Statistics , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Discriminator Rejection Sampling
Reference 71
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Observation d69d7c4f-8c30-4cbe-a485-b88502a7df90 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 72
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
Reference 73
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 75
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Observation 89e9c131-4e14-48a2-9f3e-3f58bd473645 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 77
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Observation 3f45680d-a785-4969-995c-b1a2d5af13ca · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MonoFormer: One Transformer for Both Diffusion and Autoregression
Reference 78
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Observation 07058ce1-9d23-4cbb-be42-d132e0fb4554 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICLR , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Causal Diffusion Transformers for Generative Modeling
Reference 80
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Observation 80c73408-bda4-44a6-8007-2e211e27ecce · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ECCV , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MICCAI , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
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Observation f8d90475-aa67-4be3-8df4-c3e9eb2cca18 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Proceedings of Machine Learning and Systems , volume=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 88
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work
Reference 89
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Observation 69c618fc-42e7-446e-a049-0ffec0bd4bdc · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Reference 90
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 91
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Reference 92
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Reference 93
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICCV , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling DINOv2: Learning Robust Visual Features without Supervision
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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Observation 8327ddd5-1575-43a1-981a-4b60c9bbc248 · outbound
XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=
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