Rethinking Cross-Layer Information Routing in Diffusion Transformers | Paper Citation Record

Observation 70f6105b-f127-4aac-9308-5fcf60bc778a · outbound

This paper cites Rezero is all you need: Fast convergence at large depth.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Rezero is all you need: Fast convergence at large depth

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.967097Z

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Observation 91fbb543-4e22-488f-a13c-610c529d5a49 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers All are worth words: A vit backbone for diffusion models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.954740Z

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Observation 2b72e306-7a7a-4c3a-8aca-594a70baad0f · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:58.000219Z

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Observation d4267c1f-9c46-46d9-93ee-2353788fdaf3 · outbound

This paper cites Towards stabilized and efficient diffusion transformers through long-skip-connections with spectral constraints.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Towards stabilized and efficient diffusion transformers through long-skip-connections with spectral constraints

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.971029Z

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Observation eefee161-78df-47a0-8561-0cd153e8af6c · outbound

This paper cites Sortblock: Similarity-aware feature reuse for diffusion model.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Sortblock: Similarity-aware feature reuse for diffusion model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.987465Z

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Observation e91388b9-1505-498b-a407-3a0591d71b49 · outbound

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

Rethinking Cross-Layer Information Routing in Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.969070Z

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Observation 195c1c02-f97d-4665-9e02-27f3ea4c62bb · outbound

This paper cites Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.975095Z

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Observation 3c53402a-cd0c-464d-a3f1-3cd936c1eb95 · outbound

This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.993174Z

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Observation 6064430f-2d10-45f0-bad7-b3d77f38f476 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.998292Z

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Observation 304a5c1b-a27a-4192-b7c2-c58efde9de4b · outbound

This paper cites Playing with Transformer at 30+ FPS via Next-Frame Diffusion.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.963353Z

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Observation 10232311-c594-439c-8b6f-fc66fd0a9c82 · outbound

This paper cites Describe, don’t dictate: Semantic image editing with natural language intent.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Describe, don’t dictate: Semantic image editing with natural language intent

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.979854Z

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Observation c95a6dec-9413-46ac-9087-b5f44b2639c6 · outbound

This paper cites Causal Diffusion Transformers for Generative Modeling.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Causal Diffusion Transformers for Generative Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:58.000979Z

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Observation f6b3acb3-8897-4cab-9047-2008488120ac · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.984209Z

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Observation 3974ee18-589f-4e11-a768-666e71b0b1e5 · outbound

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

Rethinking Cross-Layer Information Routing in Diffusion Transformers Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:58.006086Z

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Observation 3ae82d84-f38a-43ea-93bb-ef4c587a3972 · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

Rethinking Cross-Layer Information Routing in Diffusion Transformers LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:58.003376Z

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Observation 32a7a343-67d8-4764-a056-42de6346c13b · outbound

This paper cites Deep residual learning for image recognition.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Deep residual learning for image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.998607Z

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Observation 2633a9d7-632d-46a0-8938-b0a99eead6cd · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.946938Z

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Observation f171ba68-9896-4a0f-acf9-10755797ba4d · outbound

This paper cites Classifier-Free Diffusion Guidance.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Classifier-Free Diffusion Guidance

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.968521Z

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Observation 6bb9ea51-4539-47fc-86e8-739cf019d027 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.950837Z

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Observation 7412d671-34d4-4bc6-95f9-67924d4ec4c3 · outbound

This paper cites Densely connected convolutional networks.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Densely connected convolutional networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.963211Z

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Observation 3a0695e0-8d6e-40c0-9c41-00d25738b806 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.977009Z

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Observation 82f8be1b-2fd5-4f0a-8fd1-3edbc013b38f · outbound

This paper cites Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.990598Z

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Observation a0bcfe55-0d75-4669-9677-5274757549cc · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.996261Z

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Observation 290f348e-86c2-43fb-b5c1-ee1dcdb45333 · outbound

This paper cites Variational diffusion models.Advances in neural information processing systems, 34:21696–21707.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Variational diffusion models.Advances in neural information processing systems, 34:21696–21707

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.959097Z

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Observation fa85daf6-7758-4498-b2b4-d967e389404c · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.979549Z

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Observation 9e6ad34b-3ae7-4b23-9bb1-748b2cc324eb · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:44.008752Z

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Observation 75222597-d73c-464f-bb87-48b691b7f233 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Flux.https://github.com/black-forest-labs/flux

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.928507Z

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Observation edba76d2-0a11-4299-9971-a5e406e2b8b1 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Rethinking Cross-Layer Information Routing in Diffusion Transformers FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.991685Z

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Observation 9d7cc26d-f938-4e61-9f5b-36d4b8ef8d24 · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.995007Z

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Observation a2368b02-a5cf-42bc-a1b6-254fc6896fed · outbound

This paper cites SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm.

Rethinking Cross-Layer Information Routing in Diffusion Transformers SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:58.002698Z

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Observation d40e3c5f-587e-489f-a8b7-57d450ea7d9b · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.880746Z

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Observation eba34349-fc6c-486e-a07c-20df274ba379 · outbound

This paper cites Flow Matching for Generative Modeling.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Flow Matching for Generative Modeling

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.985846Z

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Observation dedc7eea-de42-41a8-a0c0-99e448820e77 · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.989038Z

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Observation f417b3af-8a72-4319-ab70-8a87eaf17a07 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.997616Z

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Observation 2dd886a0-d8f5-4ab5-b866-f39cd5b50ac5 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.990771Z

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Observation 9371ff5b-9b02-4335-8876-5c638a8cc6b8 · outbound

This paper cites Shortgpt: Layers in large language models are more redundant than you expect.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Shortgpt: Layers in large language models are more redundant than you expect

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.884477Z

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Observation 406938fc-80a6-42dc-b804-0ab720b2e4e6 · outbound

This paper cites Generating images with sparse representations.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Generating images with sparse representations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.887748Z

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Observation 91128270-333a-4cc8-9abd-5a62e5fa8424 · outbound

This paper cites Transformers without tears: Improving the normalization of self-attention.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Transformers without tears: Improving the normalization of self-attention

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.916987Z

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Observation 3b5898c4-ac04-4b96-a605-0242cb80b4e5 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Improved denoising diffusion probabilistic models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.993676Z

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Observation 9d745c0c-56c7-4d99-a422-9e2ecacb00bc · outbound

This paper cites Denseformer: Enhancing information flow in transformers via depth weighted averaging.Advances in neural information processing systems, 37:136479–136508.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Denseformer: Enhancing information flow in transformers via depth weighted averaging.Advances in neural information processing systems, 37:136479–136508

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.898425Z

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Observation ff21e0da-82b5-4840-8813-745b0e126bdc · outbound

This paper cites Scalable diffusion models with transformers.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Scalable diffusion models with transformers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.901463Z

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Observation 8a2b6659-3f67-405f-b01b-6b68b0aef3fb · outbound

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

Rethinking Cross-Layer Information Routing in Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.894764Z

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Observation b058d9b5-35f0-4a5c-a0d3-4e2604ea058a · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115(3):211–252.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Imagenet large scale visual recognition challenge.International journal of computer vision, 115(3):211–252

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.914141Z

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Observation f1a61861-f2de-4470-8587-a9020cf87423 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Improved techniques for training gans.Advances in neural information processing systems, 29

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.924738Z

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Observation 264813b2-5a03-4f18-a25d-bb826cf9ea09 · outbound

This paper cites A phase transition in diffusion models reveals the hierarchical nature of data.Proceedings of the National Academy of Sciences, 122(1):e2408799121.

Rethinking Cross-Layer Information Routing in Diffusion Transformers A phase transition in diffusion models reveals the hierarchical nature of data.Proceedings of the National Academy of Sciences, 122(1):e2408799121

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.911064Z

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Observation 1a6992ef-cd56-4f55-83a4-b194fb627af9 · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:58.005338Z

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Observation 4acc41dd-a24d-4b3a-8686-ceb250ae0820 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Deep unsupervised learning using nonequilibrium thermodynamics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.942998Z

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Observation 3a9fbaf6-3e5f-4d59-baa5-d9662778d5d0 · outbound

This paper cites Denoising Diffusion Implicit Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Denoising Diffusion Implicit Models

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.952657Z

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Observation 93a22bf1-48fa-4fc6-a0c1-fc8f1aca4bea · outbound

This paper cites Sleb: Streamlining llms through redundancy verification and elimination of transformer blocks.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Sleb: Streamlining llms through redundancy verification and elimination of transformer blocks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:44.006239Z

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Observation 36c1613e-7f80-48b7-9a4e-013757d0c2d8 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Score-Based Generative Modeling through Stochastic Differential Equations

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.981971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5e1daa84-7334-4960-ba30-f175475ae190 · outbound

This paper cites Highway Networks.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Highway Networks

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.983477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1b1ad268-a658-40e0-acc0-a6c162a7e759 · outbound

This paper cites Ominicontrol: Minimal and universal control for diffusion transformer.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Ominicontrol: Minimal and universal control for diffusion transformer

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.891014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e84bdd41-b878-4042-a520-1ee7241d5b8f · outbound

This paper cites Attention Residuals.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Attention Residuals

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.929350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 801bba51-1497-447b-ac13-213d4ae22618 · outbound

This paper cites U-dits: Downsample tokens in u-shaped diffusion transformers.Advances in Neural Information Processing Systems, 37:51994–52013.

Rethinking Cross-Layer Information Routing in Diffusion Transformers U-dits: Downsample tokens in u-shaped diffusion transformers.Advances in Neural Information Processing Systems, 37:51994–52013

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:44.001043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 05ef6bc3-7c04-4346-a577-030cc66ee9bb · outbound

This paper cites Going deeper with image transformers.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Going deeper with image transformers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.934046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a1f70271-c647-42cc-a943-3743f8b23514 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Wan: Open and Advanced Large-Scale Video Generative Models

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.932710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ef876048-5eca-4c6b-9883-d00012449085 · outbound

This paper cites Deepnet: Scaling transformers to 1,000 layers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(10):6761–6774.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Deepnet: Scaling transformers to 1,000 layers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(10):6761–6774

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.937028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ffbcfa2f-b0df-4bc9-a96a-500f467a94cc · outbound

This paper cites Qwen-Image Technical Report.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Qwen-Image Technical Report

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:58.007674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 808ada2f-7cef-4b9f-a467-58f13c5b5397 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Rethinking Cross-Layer Information Routing in Diffusion Transformers SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.956788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74765014-d978-4583-a20c-6ba1a2d33b66 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Rethinking Cross-Layer Information Routing in Diffusion Transformers mHC: Manifold-Constrained Hyper-Connections

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.981154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 645647da-f366-4e0d-b078-32d715ad4b87 · outbound

This paper cites On layer normalization in the transformer architecture.

Rethinking Cross-Layer Information Routing in Diffusion Transformers On layer normalization in the transformer architecture

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.919860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 97e2aad4-748f-4691-9cf4-2f6d678e0b26 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Rethinking Cross-Layer Information Routing in Diffusion Transformers CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.962281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 18862cf6-d6ba-4086-a6b1-9600b03400dc · outbound

This paper cites Reconstruction vs.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Reconstruction vs

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.907766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fda48245-cfa9-4cb2-b79e-2e6d01b45bd8 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.904687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2e7d1ee9-f8cc-46df-9c82-a9cdddac8d2c · outbound

This paper cites One-step diffusion with distribution matching distillation.

Rethinking Cross-Layer Information Routing in Diffusion Transformers One-step diffusion with distribution matching distillation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.939743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38f4fc3c-a893-4d90-8106-5bd12b30b3aa · outbound

This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Representation alignment for generation: Training diffusion transformers is easier than you think

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:44.003564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation df36c7bd-24ae-4e81-8422-a853c26b9263 · outbound

This paper cites Test-Time Training Done Right.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Test-Time Training Done Right

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.974081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 39f1d1a8-3321-412e-a835-68860ce1df1e · outbound

This paper cites Easycontrol: Adding efficient and flexible control for diffusion transformer.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Easycontrol: Adding efficient and flexible control for diffusion transformer

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.931383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1ba7eaf4-a2d1-4e80-9ef0-f23a9f88d6e7 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Diffusion Transformers with Representation Autoencoders

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.995519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cb574bf5-e012-4027-81af-98bbfc85fea7 · outbound

This paper cites Hyper-Connections.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Hyper-Connections

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:54:57.903286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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