Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation | Paper Citation Record

Observation d10ad56f-20b7-48a6-a764-320b0d3a0827 · outbound

This paper cites One transformer fits all distributions in multi-modal diffu- sion at scale.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation One transformer fits all distributions in multi-modal diffu- sion at scale

Reference 1

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Observation 09a858a8-8f64-4761-9fd5-8e7dde54312f · outbound

This paper cites Video generation models as world simulators.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Video generation models as world simulators

Reference 2

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Observation 31d9c724-e7d2-4888-b5e6-3527f0243779 · outbound

This paper cites Cross-layer distillation with semantic calibration.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cross-layer distillation with semantic calibration

Reference 3

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Observation 0795c075-9350-4a2d-84df-096bb9a07aab · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

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Observation 4cd509fc-59fd-4137-bc8a-10d09c3bac0d · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 5

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Observation 4a5bc4b1-3be9-4021-b6de-9bb55c260087 · outbound

This paper cites GenTron: Diffusion Transformers for Image and Video Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation GenTron: Diffusion Transformers for Image and Video Generation

Reference 6

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Observation 147d0c0c-0ab1-464f-b761-ef836b300ec1 · outbound

This paper cites Pali- x: On scaling up a multilingual vision and language model,.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Pali- x: On scaling up a multilingual vision and language model,

Reference 7

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Observation 341c1bcb-733c-42d5-819e-2ac44649f85f · outbound

This paper cites Scaling instruction- finetuned language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scaling instruction- finetuned language models

Reference 8

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Observation 946e96b4-d2b9-4816-8b86-0b4ee721010e · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

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Observation 5950ab43-4f0c-4b5f-82f3-b0bae9ecd54c · outbound

This paper cites Diffusion models beat gans on image synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Diffusion models beat gans on image synthesis

Reference 10

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Observation 6d78aac6-9b54-4603-a200-bc9e79211c33 · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Dimba: Transformer-Mamba Diffusion Models

Reference 11

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Observation 15df9e22-72b3-49d4-9268-55124b7c0db0 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 12

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Observation 1a49452b-03d6-4f0c-8385-104e2a62d911 · outbound

This paper cites Simple hardware-efficient long convolutions for se- quence modeling.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Simple hardware-efficient long convolutions for se- quence modeling

Reference 13

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Observation ab2614db-bee4-43c3-946a-a1eb435a82ed · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 14

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Observation 65e47fa5-09ca-446b-b439-b44675af7668 · outbound

This paper cites Masked diffusion transformer is a strong image synthesizer, 2023.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Masked diffusion transformer is a strong image synthesizer, 2023

Reference 15

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Observation d61578d8-2746-49da-bc12-4cdbbab43d84 · outbound

This paper cites Matten: Video Generation with Mamba-Attention.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Matten: Video Generation with Mamba-Attention

Reference 16

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Observation 301ce75d-3a4c-4458-bf22-4f6f12293ef1 · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 17

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Observation bf81d307-958b-4d01-9d8f-9574fc40bf0e · outbound

This paper cites Knowledge distillation: A survey.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Knowledge distillation: A survey

Reference 18

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Observation c0bca4ce-6a51-431f-906c-3cc25973fd6d · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

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Observation b43007ff-3101-42fd-96b9-ea668f4a4209 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

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Observation bc281e77-22ee-4749-8add-1b4933f74c61 · outbound

This paper cites State-space models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation State-space models

Reference 21

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Observation a63b7b23-ada5-40b5-86c9-66b50b6bf0eb · outbound

This paper cites A comprehensive overhaul of feature distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation A comprehensive overhaul of feature distillation

Reference 22

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Observation 0a0fadcb-dbf6-4587-a785-19042dd231b7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 23

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Observation 6d989004-e9d9-4cb5-a8e4-1c3f52c149f4 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Distilling the Knowledge in a Neural Network

Reference 24

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Observation 31cf9810-b172-4541-bf61-91b188080cdc · outbound

This paper cites Denoising dif- fusion probabilistic models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Denoising dif- fusion probabilistic models

Reference 25

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Observation 83c57675-00da-496f-b7b6-9335cbfbf50c · outbound

This paper cites Cascaded Diffusion Models for High Fidelity Image Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cascaded Diffusion Models for High Fidelity Image Generation

Reference 26

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Observation da1d3a86-7009-4bfb-bf4a-40f113b33b4e · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 27

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Observation f5b6912c-5699-435d-a371-b220005b93d5 · outbound

This paper cites ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2

Reference 28

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Observation 31c033a1-5df6-4128-95ee-b9a17438f7e6 · outbound

This paper cites Efficient movie scene detection using state-space transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Efficient movie scene detection using state-space transformers

Reference 29

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Observation 5cd7fef6-4347-4687-a45c-6bf2bf02f725 · outbound

This paper cites Just chop: Em- barrassingly simple llm compression, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Just chop: Em- barrassingly simple llm compression, 2024

Reference 30

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Observation 2e4e52f8-a50e-4dcf-9a29-10977337d0d3 · outbound

This paper cites Knowledge dis- tillation via route constrained optimization.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Knowledge dis- tillation via route constrained optimization

Reference 31

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Observation e30ada65-2aad-4c43-b9d7-d416142a2931 · outbound

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Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Unresolved cited work

Reference 32

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Observation 62780981-65b9-4775-9e9c-29da68c2563a · outbound

This paper cites Videomamba: State space model for efficient video understanding.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Videomamba: State space model for efficient video understanding

Reference 33

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Observation d42cce7d-b139-438e-a330-ab93ca19bcac · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Jamba: A Hybrid Transformer-Mamba Language Model

Reference 34

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Observation 14b862c2-f386-4449-8ce1-62c8c7d5da28 · outbound

This paper cites Microsoft coco: Common objects in context.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Microsoft coco: Common objects in context

Reference 35

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Observation cf12ec93-5e9e-4d3a-b3e8-8c43e14b608e · outbound

This paper cites LinFusion: 1 GPU, 1 Minute, 16K Image.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 36

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Observation 1ccf3cb2-d300-4a74-a641-21e19993b1a8 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 37

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Observation 94ab20b5-fd9c-4e64-bbaa-46c3a3b737da · outbound

This paper cites Vmamba: Visual state space model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Vmamba: Visual state space model

Reference 38

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Observation 3fed1391-a6de-4e10-adb3-9e6151ea8008 · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Long Range Language Modeling via Gated State Spaces

Reference 39

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Observation 23673296-1432-47c0-a234-6061f697c7e9 · outbound

This paper cites Lin- earizing large language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lin- earizing large language models

Reference 40

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Observation 1c52bade-1d42-423e-be6d-81f3a008c925 · outbound

This paper cites Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation

Reference 41

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Observation 23893a81-85fe-48b6-a627-f1f122edd9fd · outbound

This paper cites S4nd: Modeling images and videos as multidimensional signals with state spaces.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation S4nd: Modeling images and videos as multidimensional signals with state spaces

Reference 42

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Observation c7da6f5b-d099-4093-8d6d-979d7beddf6f · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 43

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Observation d601f70b-5d2d-4e0c-a9f1-b195f98cbfb0 · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022

Reference 44

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Observation 28dc476a-d208-4e29-815e-f89e673d2d64 · outbound

This paper cites Scalable diffusion models with transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scalable diffusion models with transformers

Reference 45

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Observation 50e95542-49dd-4262-b56c-7d8adc57e634 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation RWKV: Reinventing RNNs for the Transformer Era

Reference 46

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Observation db4dafad-2158-4edc-a780-169536b91e4c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 47

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Observation 2d9b1f7d-4029-4036-98a8-39368707e0bb · outbound

This paper cites Hyena hierarchy: Towards larger con- volutional language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Hyena hierarchy: Towards larger con- volutional language models

Reference 48

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Observation 2074047a-4425-4876-a498-4489f9b1a4e9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 49

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Observation 73e16053-56e9-4808-bfa2-22f809fd9756 · outbound

This paper cites Zero-shot text-to-image generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Zero-shot text-to-image generation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.257442Z

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Observation cd10c6cf-4ee3-4ac9-9ae3-eec302f34632 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation High-resolution image synthesis with latent diffusion models

Reference 51

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Observation db15ecda-4ae1-41a2-a344-78e73af25ad0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation U-net: Convolutional networks for biomedical image segmentation,

Reference 52

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This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 53

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Observation 87148e25-e373-4d0c-8354-35ef4fc17470 · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 54

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Observation 599306f1-5d34-4a09-a780-7957605c5c31 · outbound

This paper cites Convolutional state space models for long-range spatiotemporal modeling.Advances in Neural Information Processing Systems, 36, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Convolutional state space models for long-range spatiotemporal modeling.Advances in Neural Information Processing Systems, 36, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.203109Z

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Observation c61cf94d-0f63-4f86-a451-31015abfcd6c · outbound

This paper cites DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.571021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca8e7e6-b5f4-475e-a456-7a03c604ff49 · outbound

This paper cites Contrastive Representation Distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Contrastive Representation Distillation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.575544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba07854-eba6-4806-ae19-8c40ddb60b5d · outbound

This paper cites Similarity-preserving knowl- edge distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Similarity-preserving knowl- edge distillation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.581307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef8c214-a542-4bc5-818d-347de7fbc8a3 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.178588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27797923-01f5-4521-81c4-cd3025c63fee · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation An Empirical Study of Mamba-based Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.596554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3b3831-15a1-4da0-9921-c3fbb15a1eb8 · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.601371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f0c2e7-73b0-40ba-b757-729c1f187db2 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.606300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b8309c-b54d-48b1-8d28-9a964bab2c72 · outbound

This paper cites Difffit: Un- locking transferability of large diffusion models via sim- ple parameter-efficient fine-tuning.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Difffit: Un- locking transferability of large diffusion models via sim- ple parameter-efficient fine-tuning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.151358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 520d7ec0-df33-44c1-a20e-c2025743922c · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Visual Mamba: A Survey and New Outlooks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.616407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b8cf8ca-0a57-4264-8a45-ac509bf80e09 · outbound

This paper cites The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.136393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ea1e74c-1b51-439a-993f-34d097c7b59c · outbound

This paper cites Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.626227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0d5353-1c3e-471e-8f92-1bbaaa72761b · outbound

This paper cites Fast training of diffusion models with masked transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Fast training of diffusion models with masked transformers

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:44:39.120623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0c67ca5-0704-4975-a0d5-d81007622b84 · outbound

This paper cites Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.635832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c386b471-4784-4ebf-af94-c7ee25b69542 · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T18:44:38.640196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88f3373-26aa-4bd3-af2f-c3abfec95166 · outbound

This paper cites an unresolved cited work.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Unresolved cited work

Reference 2017

Resolution: parse uncertain; no resolver link, observed 2026-08-15T18:44:38.591667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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