DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers | Paper Citation Record

Observation 8e25d21d-4079-4653-b6b7-e5bf8141dd81 · outbound

This paper cites QuaRot: Outlier-free 4-bit inference in rotated LLMs.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers QuaRot: Outlier-free 4-bit inference in rotated LLMs

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.506433Z

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Observation dc45fdf3-210e-4d63-8701-5b63afb995d4 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Blended diffusion for text-driven editing of natural images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.543965Z

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Observation dba62026-e24a-49ee-81dd-825f6bf31fa9 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.380410Z

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Observation 1e359d9e-7158-4c2a-905d-a7b8d8d5dadb · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers All are worth words: A ViT backbone for diffusion models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.536230Z

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Observation 0f5866ad-d210-4738-aaef-a18b2513e596 · outbound

This paper cites Token Merging: Your ViT But Faster.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Token Merging: Your ViT But Faster

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.383168Z

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Observation 9dc4f040-426a-4065-b1ea-5a967a945ab4 · outbound

This paper cites Maskgit: Masked generative image transformer.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Maskgit: Masked generative image transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.542286Z

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Observation c0f637f9-fe68-42fc-9305-ff5b28fab3e2 · outbound

This paper cites MLLM-as-a-judge: Assessing multimodal LLM-as-a-judge with vision-language benchmark.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers MLLM-as-a-judge: Assessing multimodal LLM-as-a-judge with vision-language benchmark

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.516555Z

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Observation ad6b6349-f845-4310-b514-2ab2809c3fad · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers PixArt- Σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.504749Z

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Observation 9be60fee-89ee-4913-995e-1e6b07bfd7a1 · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.377600Z

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Observation c980f2e2-80c2-4df3-85c8-d2ced06bb5db · outbound

This paper cites Q-DiT: Accurate post-training quantization for diffusion transformers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Q-DiT: Accurate post-training quantization for diffusion transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.473638Z

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Observation 1a3b687c-6cb9-4161-98ed-21135430a1e2 · outbound

This paper cites Mills, and Di Niu.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Mills, and Di Niu

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.551921Z

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Observation 4849b43a-6994-4b13-ba5f-672e3a3ce30d · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.408408Z

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Observation 6a6c4687-972e-4f6b-abfd-193033b37da0 · outbound

This paper cites MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:52:48.368610Z

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Observation d2ec4670-6729-484b-ad8d-c4a8b93cf271 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.374236Z

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Observation 2e7f9f21-b10b-4b12-866b-cd0668c6b845 · outbound

This paper cites Scaling vision transformers to 22 billion parameters.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Scaling vision transformers to 22 billion parameters

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.520154Z

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Observation 99a7817f-b07f-4671-841c-8e00bd9078e2 · outbound

This paper cites LLM.int8(): 8-bit matrix multiplication for transformers at scale.Advances in neural information processing systems, 35:30318–30332.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers LLM.int8(): 8-bit matrix multiplication for transformers at scale.Advances in neural information processing systems, 35:30318–30332

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.498709Z

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Observation aea32179-49b0-4e3d-b009-fc0c06165cae · outbound

This paper cites DiTAS: Quantizing diffusion transformers via enhanced activation smoothing.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DiTAS: Quantizing diffusion transformers via enhanced activation smoothing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.482321Z

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Observation 362fd7f7-72df-44dc-8329-e1d63613f1eb · outbound

This paper cites The approximation of one matrix by another of lower rank.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers The approximation of one matrix by another of lower rank

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.524622Z

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Observation ed231364-e02f-4857-bc73-d2b37db9efa3 · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Scaling rectified flow transform- ers for high-resolution image synthesis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.506202Z

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Observation e0172731-bb46-4d6e-b7b8-9e228c50aa23 · outbound

This paper cites OPTQ: Accurate post- training quantization for generative pre-trained transformers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers OPTQ: Accurate post- training quantization for generative pre-trained transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.455708Z

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Observation 0ca7ba02-d5af-4205-bcd8-f121709ab1ec · outbound

This paper cites Springer Science & Business Media.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Springer Science & Business Media

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.474088Z

Source-reported events for the cited work

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Observation a1ce8ea3-8aaa-4109-8813-2609f677d108 · outbound

This paper cites FineGRAIN: Evaluating failure modes of text-to-image models with vision language model judges.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers FineGRAIN: Evaluating failure modes of text-to-image models with vision language model judges

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.453533Z

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Observation 05951e09-a226-4c66-93b5-8b26dfd5f25a · outbound

This paper cites PTQD: Accurate post-training quantization for diffusion models.Advances in Neural Information Processing Systems, 36:13237–13249.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers PTQD: Accurate post-training quantization for diffusion models.Advances in Neural Information Processing Systems, 36:13237–13249

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.530841Z

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Observation 90a1edf7-3251-472e-a741-c388ab9fd378 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Gaussian Error Linear Units (GELUs)

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.371439Z

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Observation d6d8ee7f-2c3c-49f0-a210-bf5cc1e1341b · outbound

This paper cites ClipScore: A reference-free evaluation metric for image captioning.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers ClipScore: A reference-free evaluation metric for image captioning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.522142Z

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 e9c0f8d0-b704-421a-af57-8cfbb04257cd · 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.

DiRotQ: Rotation-Aware Quantization for 4-bit 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 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.518197Z

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

Observation a152a30b-5929-4433-9786-6e26ec2e7ada · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.472061Z

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Observation b7491df7-5442-45c8-9924-5c3eac579b95 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Classifier-Free Diffusion Guidance

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.405470Z

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 3a2d1561-5719-410e-b8a0-cc244a100090 · outbound

This paper cites ConvRot: Rotation-based plug-and-play 4-bit quantization for diffusion transformers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers ConvRot: Rotation-based plug-and-play 4-bit quantization for diffusion transformers

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:52:48.412388Z

Source-reported events for the cited work

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Observation d03d3659-073b-4114-a734-3d3fb7a900d1 · outbound

This paper cites Bk-SDM: A lightweight, fast, and cheap version of stable diffusion.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Bk-SDM: A lightweight, fast, and cheap version of stable diffusion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.549119Z

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Observation 889bbe9c-a3b0-4a32-a6a4-fcac00d0bf2e · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.362651Z

Source-reported events for the cited work

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Observation 66ee56ff-b150-4ed3-8258-0dcccb129a82 · outbound

This paper cites VIEScore: Towards explain- able metrics for conditional image synthesis evaluation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers VIEScore: Towards explain- able metrics for conditional image synthesis evaluation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.527078Z

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Observation 94916b0a-e6b6-43cd-a573-ae903d72508b · outbound

This paper cites an unresolved cited work.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-19T21:53:14.532132Z

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Observation 0f40e903-73f2-4193-8ae5-050d06e8e71a · outbound

This paper cites Prometheus-vision: Vision-language model as a judge for fine-grained evaluation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Prometheus-vision: Vision-language model as a judge for fine-grained evaluation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.540401Z

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

Observation edb64c9a-a2ee-4610-b3da-41cfd9eb0c04 · outbound

This paper cites Lhotse documentation: lhotse.cut.mixed module.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Lhotse documentation: lhotse.cut.mixed module

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.496228Z

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

Observation 0bc9b2d5-f9ee-4735-948f-68027fa3104b · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.421377Z

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

Observation b2bce928-c2e9-420c-b899-0575ed1176c8 · outbound

This paper cites SVDQuant: Absorbing outliers by low-rank component for 4-bit diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SVDQuant: Absorbing outliers by low-rank component for 4-bit diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.545973Z

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 da819427-0fd6-4152-83fb-73cb666f84b3 · outbound

This paper cites Q-Diffusion: Quantizing diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Q-Diffusion: Quantizing diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.534634Z

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 a0c4b84d-c9b9-403a-9702-1af744bec80d · outbound

This paper cites SnapFusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SnapFusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.536728Z

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 874c7c49-5475-4c55-950c-6200e3db35e0 · outbound

This paper cites AWQ: Activation-aware weight quantization for on-device llm compression and acceleration.Proceedings of Machine Learning and Systems, 6.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers AWQ: Activation-aware weight quantization for on-device llm compression and acceleration.Proceedings of Machine Learning and Systems, 6

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.512283Z

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Observation 66746068-8366-4438-9fdf-56ea149616aa · outbound

This paper cites QServe: W4A8KV4 quantization and system co-design for efficient LLM serving.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers QServe: W4A8KV4 quantization and system co-design for efficient LLM serving

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.494000Z

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

Observation 3beb0b9f-cba1-4296-b7ce-35e2b9f4c393 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SpinQuant: LLM quantization with learned rotations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.508294Z

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 a6b0493e-852e-4683-90df-eaa3c11c06fc · outbound

This paper cites DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.500978Z

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 cba0fb6b-bde1-4299-b172-ea236a1c8688 · outbound

This paper cites DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Re- search, 22(4):730–751.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Re- search, 22(4):730–751

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.518447Z

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

Observation ef12f97a-dabd-4b58-aef6-bcd077c389ef · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.399321Z

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 0e115009-afb4-456f-ba20-b65abb6d0473 · outbound

This paper cites DeepCache: Accelerating diffusion models for free.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DeepCache: Accelerating diffusion models for free

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.528475Z

Source-reported events for the cited work

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Observation d9c03b87-b3e0-4bd0-bfd5-13b9ea188858 · outbound

This paper cites Midjourney: Text-to-image generation model.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Midjourney: Text-to-image generation model

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.528931Z

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 bb9a0988-0853-4f8b-8314-5c5e8c520796 · outbound

This paper cites Up or down? Adaptive rounding for post-training quantization.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Up or down? Adaptive rounding for post-training quantization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.530382Z

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 ef59cb2f-6bcf-40bd-8f0b-3535eeaf98dc · outbound

This paper cites NVIDIA GeForce RTX 4090.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers NVIDIA GeForce RTX 4090

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.532599Z

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 d16fe0df-aca0-4da5-8a02-c96246006d74 · outbound

This paper cites NVIDIA Blackwell Architecture.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers NVIDIA Blackwell Architecture

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.500432Z

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 f76e1968-0b7f-41b0-9150-3c2725750058 · outbound

This paper cites GPT-4o System Card.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers GPT-4o System Card

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.393989Z

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 4fef67f6-c7e8-4beb-b12b-975775473979 · outbound

This paper cites Scalable diffusion models with transformers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Scalable diffusion models with transformers

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.520582Z

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 c7bcc8a9-e9f7-4093-b8fd-6e3c76ff9583 · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.388598Z

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 08871a09-4d6b-470a-8289-c806558157ef · outbound

This paper cites Learning transferable visual models from natural language supervision.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Learning transferable visual models from natural language supervision

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.538680Z

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 9c0c269d-bf80-451c-9ba8-aa944e9e88b9 · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers High- resolution image synthesis with latent diffusion models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.478520Z

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 38ea0e9d-3976-4392-80b6-1354cdfbb9fe · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers U-net: Convolutional networks for biomedical image segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.457522Z

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 f0728ddf-b66e-43b2-a503-28b0c3f615e2 · outbound

This paper cites DGQ: Distribution-aware group quantization for text-to-image diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DGQ: Distribution-aware group quantization for text-to-image diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.478217Z

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 f84dc6dc-d9de-4c44-8064-c37a3111ceaf · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.453936Z

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 2af80d02-eea7-47df-abdf-b765ed332e31 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Progressive Distillation for Fast Sampling of Diffusion Models

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.415323Z

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 c99ec5ce-18ef-4f67-b5f0-15cb9fd7c317 · outbound

This paper cites Adversarial diffusion distillation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Adversarial diffusion distillation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.467801Z

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 c8bd78ad-4efd-4334-8584-dfc8aca01794 · outbound

This paper cites ResQ: Mixed-precision quantiza- tion of large language models with low-rank residuals.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers ResQ: Mixed-precision quantiza- tion of large language models with low-rank residuals

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.489786Z

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 283bc888-861f-48ac-9ffd-8e8d4b6127ef · outbound

This paper cites Post-training quantization on diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Post-training quantization on diffusion models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.546475Z

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 e16ab6c4-3f4a-45e5-bf89-6d65297a37b2 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.513895Z

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 9f88f0fd-e5ad-46da-b48e-09e3d1986716 · outbound

This paper cites Denoising Diffusion Implicit Models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Denoising Diffusion Implicit Models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.396644Z

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 c5c65cfd-5b40-4af8-bfbd-7b881ca3ec17 · outbound

This paper cites Improved Techniques for Training Consistency Models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Improved Techniques for Training Consistency Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:04:10.684842Z

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 bc41443b-10f8-4052-82c4-cb1696fa7e43 · outbound

This paper cites Triton: an intermediate language and compiler for tiled neural network computations.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Triton: an intermediate language and compiler for tiled neural network computations

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.430154Z

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 51406c00-5670-461c-afa4-e67d9032eda1 · outbound

This paper cites A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.475694Z

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 44ff8897-b729-463b-bed1-2fdefed7d86b · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Diffusers: State-of-the-art diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.514405Z

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 c37dfb46-f8d1-4667-a17a-75a486742412 · outbound

This paper cites Exploring clip for assessing the look and feel of images.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Exploring clip for assessing the look and feel of images

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.463381Z

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 f76100d1-1b84-441f-8d52-7e60ba56fb7a · outbound

This paper cites SparseDM: Toward sparse efficient diffusion models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SparseDM: Toward sparse efficient diffusion models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.554046Z

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 c2513469-3768-4f86-bd4d-6c7df152c156 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.391295Z

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 d0f9dbfc-e9a8-45de-ad75-5b6e0f41a055 · outbound

This paper cites Image Quality Assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600– 612.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Image Quality Assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600– 612

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.475963Z

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 290e00fd-4728-402e-bb41-680828030f0c · outbound

This paper cites PTQ4DiT: Post- training quantization for diffusion transformers.Advances in neural information processing systems, 37:62732–62755.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers PTQ4DiT: Post- training quantization for diffusion transformers.Advances in neural information processing systems, 37:62732–62755

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.467592Z

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 444f5c77-0f33-4c53-9bc4-8d7a2d41d4de · outbound

This paper cites SmoothQuant: Accurate and efficient post-training quantization for large language models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SmoothQuant: Accurate and efficient post-training quantization for large language models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.502505Z

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 4af13ddc-0944-4806-bb54-432236ce7ea4 · outbound

This paper cites SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.540607Z

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 7d17b617-c614-4330-a875-7aa9debf54a8 · outbound

This paper cites ImageReward: Learning and evaluating human preferences for text-to-image generation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers ImageReward: Learning and evaluating human preferences for text-to-image generation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.534081Z

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 a081bb32-280f-4c02-8e88-a5cf4b7e92dd · outbound

This paper cites LRQ-DiT: Log-rotation post-training quantization of diffusion transformers for image and video generation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers LRQ-DiT: Log-rotation post-training quantization of diffusion transformers for image and video generation

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:52:48.418497Z

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 255b3a30-f810-419f-add5-ad01af4a0abc · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:52:48.385891Z

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 fc5227fc-1b3d-452a-8249-46a1ce5926d4 · outbound

This paper cites A Survey on Multimodal Large Language Models.National Science Review, 11(12):nwae403.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers A Survey on Multimodal Large Language Models.National Science Review, 11(12):nwae403

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.548265Z

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 b8f55954-9c45-45cb-b6a5-7091e8f2cf4b · outbound

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

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers One-step diffusion with distribution matching distillation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.544415Z

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 b1d1f42f-8b7c-442e-91ea-a5c656207936 · outbound

This paper cites DiTFastAttn: Attention compression for diffusion transformer models.Advances in Neural Information Processing Systems, 37:1196–1219.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers DiTFastAttn: Attention compression for diffusion transformer models.Advances in Neural Information Processing Systems, 37:1196–1219

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.465447Z

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 b853a2fd-2cbb-451c-82d7-99cec5d4ef31 · outbound

This paper cites TurboQuant: Online vector quantiza- tion with near-optimal distortion rate.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers TurboQuant: Online vector quantiza- tion with near-optimal distortion rate

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.486634Z

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 5ad4c20a-b713-4e0d-9cfa-8c1cb5b77ad2 · outbound

This paper cites Significance testing of the Spearman rank correlation coefficient.Journal of the American Statistical Association, 67(339):578–580.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Significance testing of the Spearman rank correlation coefficient.Journal of the American Statistical Association, 67(339):578–580

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.508105Z

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 52977192-4734-4e70-9e56-25de444e17e8 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.526641Z

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 96a2e58f-e95f-4461-907c-0aa61ca72dd6 · outbound

This paper cites Pioneering 4-bit FP quantization for diffusion models: Mixup-Sign quantization and timestep-aware fine-tuning.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Pioneering 4-bit FP quantization for diffusion models: Mixup-Sign quantization and timestep-aware fine-tuning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.417036Z

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 b87c8516-5d80-476e-a96c-71d64219b62d · outbound

This paper cites ViDiT-Q: Efficient and accurate quantization of diffusion transformers for image and video generation.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers ViDiT-Q: Efficient and accurate quantization of diffusion transformers for image and video generation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.515965Z

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 c123fd8f-7d84-439e-a538-3835f3cd708f · outbound

This paper cites MixDQ: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers MixDQ: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:53:14.522371Z

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 90dd20fe-1035-4e51-935c-d07045d5dd36 · outbound

This paper cites rationale.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers rationale

Reference 88

Resolution: malformed identifier; arxiv_id, observed 2026-05-19T21:52:48.365546Z

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.

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Pith citing papers