Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:19.245131Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 8 inbound Pith citation observations for arXiv:2505.22167.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:19.245131Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:57:21.407355Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:45:40.325116Z
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 42d44208-69e9-4fcc-9441-8c13ebb60427 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Reference 1
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Observation 40c4f2ad-234e-4d18-8350-a871dd7ea002 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Flux.1, 2024
Reference 2
Source-reported events for the cited work
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Observation 225abec8-677d-4cbd-9e17-2370230b5db9 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers W., Fidler, S., and Kreis, K
Reference 3
Source-reported events for the cited work
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Observation 90373be9-13dd-4fbe-aeaf-99e779030ca8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99e10386-786a-42a3-bc20-fa9ac6979d47 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers T., Mittal, S., Emani, M., Vishwanath, V., and Somani, A
Reference 5
Source-reported events for the cited work
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Observation 8b92dc1c-2ac6-4c30-98ef-1d7928aa49b8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers and Nichol, A
Reference 6
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Observation 73e66e29-b3e5-4e4a-8028-ce67f7e2491f · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Reg-ptq: Regression-specialized post-training quantization for fully quantized object detector
Reference 7
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Observation 9efc581a-8040-4922-967a-61e21c4e9258 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Perceptual quality assessment of smartphone photography
Reference 8
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Observation f7efd17d-7b02-4aca-85f0-c890982605ed · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Relational diffusion distillation for efficient image generation
Reference 9
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Observation 90bfd641-b19e-4967-94b9-43bd724397d4 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Mpq-dm: Mixed precision quantization for extremely low bit diffusion models
Reference 10
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Observation d3258729-ce03-4162-9886-8b38b4d43b53 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers W., and Keutzer, K
Reference 11
Source-reported events for the cited work
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Observation 6d9e08ff-bd26-4e8e-ab81-cfdec2384fd8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Reference 12
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Observation 52e4babf-c224-4b40-9737-37d8f88dc76d · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Reference 13
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Observation eae52490-2fda-4090-9e12-7bfd982d02ef · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Ptqd: Accurate post-training quantization for diffusion models
Reference 14
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Observation b3a443b6-5165-4796-855c-53475dda801e · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Denoising diffusion probabilistic models
Reference 15
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Observation 323a40c9-3090-4006-b106-74b51a9da9b4 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Open-sora, 2024
Reference 16
Source-reported events for the cited work
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Observation 2d97c5c7-ea68-43b1-be7e-0f6ed0eed961 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers LoRA: Low-Rank Adaptation of Large Language Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d543b78-e708-4246-8000-54d87bda162f · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Tfmq-dm: Temporal feature maintenance quantization for diffusion models
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aab944f5-3a73-49af-b2da-dd4fbd82466a · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Vbench: Comprehensive benchmark suite for video generative models
Reference 19
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Observation a1a72d73-8869-4817-90fd-b8f191d0d3f1 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Musiq: Multi-scale image quality transformer
Reference 20
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Observation 7bd28cb6-65a6-43ee-8f50-7c8d2285d6c6 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Aesthetic-predictor, 2022
Reference 21
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Observation 92e45033-8877-45b2-ad9a-d33be3e662cc · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models
Reference 22
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Observation 408c8b91-7402-41b8-bae1-7f2d1ac272ae · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Q-diffusion: Quantizing diffusion models
Reference 23
Source-reported events for the cited work
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Observation a05a1368-8788-4dd2-b4a5-4ae7cbfc5ad1 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Q-dm: An efficient low-bit quantized diffusion model
Reference 24
Source-reported events for the cited work
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Observation 72106f91-22a9-43b2-8c18-76f86e94a4b2 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Diffbir: Toward blind image restoration with generative diffusion prior
Reference 25
Source-reported events for the cited work
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Observation d0f5f311-aa17-428b-b22d-c72ae042fd5d · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Evalcrafter: Benchmarking and evaluating large video generation models
Reference 26
Source-reported events for the cited work
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Observation 37d4edee-b4ad-4b64-9c50-f5b904eff26e · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Reactnet: Towards precise binary neural network with generalized activation functions
Reference 27
Source-reported events for the cited work
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Observation 15fca04d-d514-431a-b9d1-c6a51528e5d3 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers TerDiT: Ternary Diffusion Models with Transformers
Reference 28
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Observation cbdb5888-dff9-421e-be28-64ef064057a5 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Latte: Latent Diffusion Transformer for Video Generation
Reference 29
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Observation 4c4a7afb-cf45-486d-b404-0b2e52be06df · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers and Xie, S
Reference 30
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Observation d142ae07-177d-4d20-be8e-4e839ce5207a · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Compression of convolutional neural networks: A short survey
Reference 31
Source-reported events for the cited work
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Observation ad7da9c4-8d16-4dfc-b56b-cbed9b599890 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Forward and backward information retention for accurate binary neural networks
Reference 32
Source-reported events for the cited work
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Observation 20986bf5-0d0c-4d9a-acb2-97619d7785a8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al
Reference 33
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Observation 3e533fcf-643a-49b7-955c-41e150957a42 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers High-resolution image synthesis with latent diffusion models
Reference 34
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Observation 9dfc85ce-922a-48ab-aaa9-327edbf0e9ef · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Post-training quantization on diffusion models
Reference 35
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Observation f2e6ac20-41a5-46cd-87d4-a3c0bb051fe5 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Denoising Diffusion Implicit Models
Reference 36
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Observation 0dc5d63a-890d-4b28-815d-add6d080260c · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 37
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Observation dbfd2305-85e4-402a-8188-a3b9bcdc8462 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers and Deng, J
Reference 38
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Observation 3f693415-93eb-4e22-8899-e416ba6e79aa · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
Reference 39
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Observation 5f5434b8-0cf7-4697-ba23-6297227cb4bd · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers C., and Loy, C
Reference 40
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Observation 7d3d1fc9-29a7-43ef-ba22-2208dff8b6e8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 41
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Observation 4e226ceb-9057-44eb-9210-88343ad97e01 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 42
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Observation 67ca7b77-e310-4a14-a0ef-dda0cd4b0cf3 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers PTQ4DiT: Post-training Quantization for Diffusion Transformers
Reference 43
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Observation 9be99d43-2628-4b21-87e9-ee4b8becf7bf · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Seesr: Towards semantics-aware real-world image super-resolution
Reference 44
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Observation 319346f7-cb07-4548-961e-a5ac96d4e5cc · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Smoothquant: Accurate and efficient post-training quantization for large language models
Reference 45
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Observation e4478665-50af-4895-a7bc-93f0e3507d7b · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Cross-image relational knowledge distillation for semantic segmentation
Reference 46
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Observation 8647242a-2de7-427f-9024-6d18698c105e · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Multi-party Collaborative Attention Control for Image Customization
Reference 47
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Observation 2d4d10d1-c9d0-4362-90da-73bc24428fa1 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
Reference 48
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Observation fc47f83c-143d-43d3-941e-21785bf0e418 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization
Reference 49
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Observation 001445c0-a054-4550-9768-f08cd23d8106 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers BiDM: Pushing the Limit of Quantization for Diffusion Models
Reference 50
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Observation 4ab4c250-2d33-4397-8f28-0e6eaee11392 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
Reference 51
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Observation 7fe76973-9da6-49ee-b460-20caadec97c8 · outbound
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers write newline
Reference 52
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MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 45
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Observation 70c3ba28-5907-4e58-81f2-9d6de20f1b70 · inbound
Charting the Future of Scholarly Knowledge with AI: A Community Perspective Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
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Observation 339c94ae-8a93-4a77-bc8f-8a0a3936726e · inbound
Efficient Video Diffusion Models: Advancements and Challenges Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 268
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Observation e50a9651-5348-45c8-8bf9-5e9b24e45328 · inbound
Motion-Aware Caching for Efficient Autoregressive Video Generation Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
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Observation c2f1e0ec-12c9-459a-ac92-6bb3a2cbdbc5 · inbound
Motion-Aware Caching for Efficient Autoregressive Video Generation Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 13
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Observation 96c9f718-ccb3-4199-a61b-182df46185dc · inbound
GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 11
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Observation 2a6325cd-d752-4a01-9ac2-00aa73dbf8bd · inbound
Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 9
Source-reported events for the cited work
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Observation d33759d6-44da-41f4-aa79-f6fde75df3c1 · inbound
SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait Animation Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Reference 10
Source-reported events for the cited work
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