Paper Citation Record · LEDGER

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

As of 5 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 100 inbound Pith citation observations for arXiv:2511.22699.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.22699 v5

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:47:32.986689Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 100 of 153 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:47:20.091819Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 100 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 28fae302-c7f4-43ae-a7e9-4fbb34c873d5 · outbound

This paper cites Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.475102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde753cb-7cd0-4565-b9ec-cfa708e46925 · outbound

This paper cites Qwen2.5-VL Technical Report.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Qwen2.5-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.562252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de9258b-3273-4120-a708-48d4d271cd6b · outbound

This paper cites Imagen 3.arXiv preprint arXiv:2408.07009, 2024.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Imagen 3.arXiv preprint arXiv:2408.07009, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.646391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f74fa1a-f1c6-4c0c-ab2d-0aee17c7ba9f · outbound

This paper cites Improving image generation with better captions.Computer Science.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Improving image generation with better captions.Computer Science

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.700289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e2d8b6-848d-4e48-bb2d-afeba793fc31 · outbound

This paper cites Instructpix2pix: Learning to follow im- age editing instructions.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Instructpix2pix: Learning to follow im- age editing instructions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.729213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 441b816e-9fc6-4508-9df1-b6cc05f13de3 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.809386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87f4a65-4f4d-42fc-8eb7-0e0436d52bb8 · outbound

This paper cites Hidream-i1: An open-source high-efficient image generative foundation model.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Hidream-i1: An open-source high-efficient image generative foundation model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.849396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45847ee5-85b5-46d0-a19c-43a7daade548 · outbound

This paper cites HunyuanImage 3.0 Technical Report.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer HunyuanImage 3.0 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.877338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245f5d62-2469-4ceb-8d6f-5b2ee348c88f · outbound

This paper cites OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.934626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f576ab7-7a74-42e1-8cf8-69bfd11d612f · outbound

This paper cites Textdiffuser-2: Unleashing the power of language models for text rendering.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Textdiffuser-2: Unleashing the power of language models for text rendering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:30.990759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29386781-04fa-4eef-8e9a-82c97c78ff74 · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.024621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e54ed50-4cc9-4c0d-b555-97c2e576da47 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Pixart-𝜎: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.057684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba09161e-606e-4c5a-b74b-49f3b23ef8b6 · outbound

This paper cites Pixart-𝛼: Fast training of diffusion transformer for photo- realistic text-to-image synthesis.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Pixart-𝛼: Fast training of diffusion transformer for photo- realistic text-to-image synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.091651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8562c6d-748d-455c-983f-683e9c065ecb · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.126783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 373e2210-19fc-4629-b3b0-f8710f8983a8 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Emerging Properties in Unified Multimodal Pretraining

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.160663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 126de000-b4a2-4adb-ad18-ba6e62d6b30f · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Cogview: Mastering text-to-image generation via transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.198772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e659890-00c2-4f33-a20c-2198ba661e01 · outbound

This paper cites Textcrafter: Accurately rendering multiple texts in complex visual scenes.arXiv preprint arXiv:2503.23461, 2025.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Textcrafter: Accurately rendering multiple texts in complex visual scenes.arXiv preprint arXiv:2503.23461, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.258509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53875729-1899-4cd1-90d6-e6f71402d439 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Scaling rectified flow transformers for high-resolution image synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.312423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6f9400-4ee2-466a-9de1-97b015cb413c · outbound

This paper cites FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.327318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af520a0-f9d2-4d3e-adfc-e940073ddea5 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.331517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261c5bf2-d0d4-42ee-ac7a-bfbfcf415f0e · outbound

This paper cites Seedream 3.0 Technical Report.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Seedream 3.0 Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.335779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd7ea82-2d80-4696-9395-a33b2ee4b16c · outbound

This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.339897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680d4670-3c35-4ffc-ba01-a85f0445ecbd · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132– 52152, 2023.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132– 52152, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.343751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f4bde7-669c-4abb-b77a-2825ae4b551b · outbound

This paper cites Dynamic few-shot visual learning without forgetting.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Dynamic few-shot visual learning without forgetting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.347436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c26176ae-26c0-477f-b2e7-8a1b698acdcb · outbound

This paper cites Gemini 2.5 flash & 2.5 flash image model card.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Gemini 2.5 flash & 2.5 flash image model card

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.362336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1afd41-2448-41c7-a0df-bede08690930 · outbound

This paper cites Imagen 4 model card.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Imagen 4 model card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.413630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b28f84b-170d-4a92-9565-b3b7a9771eb1 · outbound

This paper cites Nano banana pro.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Nano banana pro

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.567733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d860859d-0ede-4f11-a591-f323e7dc2c55 · outbound

This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.722054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36508c3d-f09f-4e79-a116-2b97fa94d97c · outbound

This paper cites Classifier-free diffusion guidance.Advances in Neural Information Processing Systems Workshops (NeurIPS Workshops), 2021.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Classifier-free diffusion guidance.Advances in Neural Information Processing Systems Workshops (NeurIPS Workshops), 2021

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.797853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247dc9e9-a06c-46c1-9fbd-754140edaeff · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:31.943799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb10234-dd0d-4a45-b7b6-9b94bdb865e0 · outbound

This paper cites Distribution Matching Distillation Meets Reinforcement Learning.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Distribution Matching Distillation Meets Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.038741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6789c7b-cc47-400e-abb4-3762a195fc9c · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Analyzing and improving the training dynamics of diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.129517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3822905b-a2fb-455a-bf28-33e0d8a27e68 · outbound

This paper cites Kolors 2.0.https://app.klingai.com/cn/, 2025.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Kolors 2.0.https://app.klingai.com/cn/, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.243783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b1d17d-62e2-48b1-aa7a-25a3f2fb1522 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2023.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flux.https://github.com/black-forest-labs/flux, 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.330782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd85b46-19dc-4cd6-978d-41d6d0daa65f · outbound

This paper cites FLUX.2: State-of-the-Art Visual Intelligence.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer FLUX.2: State-of-the-Art Visual Intelligence

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.382835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8757f701-eafa-4306-b768-20a719972bba · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.488207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d3c611-4751-4bb0-a00d-c84263c49369 · outbound

This paper cites Gpu server rental pricing.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Gpu server rental pricing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.631497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e406c874-4fcf-416f-a346-fe3c80f85494 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.718177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9562f21d-da7d-45f2-8a5f-e8bad6940781 · outbound

This paper cites Ragdiffusion: Faithful cloth generation via external knowledge assimilation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Ragdiffusion: Faithful cloth generation via external knowledge assimilation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.746065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31537b14-4724-42bc-9266-d28b5e4755c2 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.749977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32545311-bce1-4a11-846e-f03ab50aa75c · outbound

This paper cites Visualcloze: A universal image generation framework via visual in-context learning.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Visualcloze: A universal image generation framework via visual in-context learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.754194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad822751-6882-4b7c-86f5-4f244de43800 · outbound

This paper cites Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.758069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52956ea3-9be0-4a8d-b1d4-e64d0ac1a586 · outbound

This paper cites UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.762169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5b2ed7-9bf0-49a2-989d-8f9df31cceb9 · outbound

This paper cites Flow Matching for Generative Modeling.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flow Matching for Generative Modeling

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.766217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4402de-2521-403c-ade7-51d505165ab5 · outbound

This paper cites Decoupled dmd: Cfg augmentation as the spear, distribu- tion matching as the shield.arXiv preprint, 2025.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Decoupled dmd: Cfg augmentation as the spear, distribu- tion matching as the shield.arXiv preprint, 2025

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.770481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df3ea5e-949a-4a5d-b433-07aee08b746c · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flow-GRPO: Training Flow Matching Models via Online RL

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.774192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e0ce66-b787-4070-8781-989d799cca07 · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Step1X-Edit: A Practical Framework for General Image Editing

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.778169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f98f48-9d2c-4168-837b-19f2d91210be · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.782064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21bfeb1-2a69-48f2-8e4d-de3b6d031cfa · outbound

This paper cites OmniCaptioner: One Captioner to Rule Them All.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer OmniCaptioner: One Captioner to Rule Them All

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.786122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5e7e7b-9b35-40bb-a5c1-b13a311833ac · outbound

This paper cites Cosine normalization: Using cosine similarity instead of dot product in neural networks.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Cosine normalization: Using cosine similarity instead of dot product in neural networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.789992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af18e0f6-a6c1-4d71-b93a-a757630e669e · outbound

This paper cites JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.793928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1112a812-c971-43fb-9035-4022c6ef2a02 · outbound

This paper cites Midjourney v7.https://www.midjourney.com/home, 2025.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Midjourney v7.https://www.midjourney.com/home, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.797901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21d78b7-2663-4049-86cc-3971a91ca126 · outbound

This paper cites Enhancing few-shot image classification with cosine transformer.IEEE Access, 11:79659–79672, 2023.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Enhancing few-shot image classification with cosine transformer.IEEE Access, 11:79659–79672, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.801626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402a0527-8c22-46cc-8e70-2bedd5770fe9 · outbound

This paper cites Cagra: Highly parallel graph construction and approximate nearest neighbor search for gpus.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Cagra: Highly parallel graph construction and approximate nearest neighbor search for gpus

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.805453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d93624c-7506-4252-b846-08656cca8f73 · outbound

This paper cites Gpt-image-1.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Gpt-image-1

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.808944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05a983a-cde9-48d8-a1e4-6b712b5bb37e · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer The pagerank citation ranking: Bringing order to the web

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.812444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80639104-f252-4422-b3fc-54545848c8c7 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.816279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083082b4-0ea8-4d8a-b712-96b7160d0bd5 · outbound

This paper cites Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.820285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9badaaa4-7339-4a94-9e1b-475e03d93446 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.823876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add8b61f-7163-4506-9a3e-a5cf06f6eeb6 · outbound

This paper cites cuGraph - RAPIDS Graph Analytics Library.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cuGraph - RAPIDS Graph Analytics Library

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.827296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd77d68-dfdb-47b6-8f9d-b4bc66c38e4d · outbound

This paper cites Recraft v3.https://www.recraft.ai/docs/recraft-models/recraft-V3, 2024.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Recraft v3.https://www.recraft.ai/docs/recraft-models/recraft-V3, 2024

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.830910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9581a8-9a96-42f2-9379-6db1f75516cb · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.Foundations and Trends® in Information Retrieval, 3(4):333–389, 2009.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer The probabilistic relevance framework: Bm25 and beyond.Foundations and Trends® in Information Retrieval, 3(4):333–389, 2009

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.834387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6e366d-b1cb-4d6d-b8e0-6bbf2d0ca9d4 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer High- resolution image synthesis with latent diffusion models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.838076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd5d0e7-076e-4197-8209-27b54b88993e · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.841640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001f9e5e-79db-4125-bd69-62f8a157e1ba · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.Advances in Neural Information Processing Systems, 37:68658–68685, 2024.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flashattention-3: Fast and accurate attention with asynchrony and low-precision.Advances in Neural Information Processing Systems, 37:68658–68685, 2024

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.845771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cbba010-adce-477b-94fd-5ab51a938109 · outbound

This paper cites an unresolved cited work.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.849321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6655a5-17b8-4c07-85e5-ba6c4dff28ca · outbound

This paper cites Flux.1 krea [dev].https://github.com/krea-ai/flux-krea, 2025.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Flux.1 krea [dev].https://github.com/krea-ai/flux-krea, 2025

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.852837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f2e89b-804a-4105-81dc-a7ec64ad74c0 · outbound

This paper cites From louvain to leiden: guaranteeing well-connected communities.Scientific reports, 9(1):1–12, 2019.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer From louvain to leiden: guaranteeing well-connected communities.Scientific reports, 9(1):1–12, 2019

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.856326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8547a68f-3bc8-436a-b350-d3b1ebfe4763 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.859900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7a79c0-80d7-4f36-a560-e97452fa4c77 · outbound

This paper cites Anytext: Multilingual visual text generation and editing.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Anytext: Multilingual visual text generation and editing

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.863821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c059e89-b1c9-4c53-9b29-e88f08179e47 · outbound

This paper cites Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.867409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2eea76-621f-4287-94a7-8e76b1acd82e · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Emu3: Next-Token Prediction is All You Need

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.871256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb69a08-9e45-47f3-a5e9-b4272ca191fb · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.875546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c225f343-de65-4a46-a361-411e08e52309 · outbound

This paper cites TIIF-Bench: How Does Your T2I Model Follow Your Instructions?.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer TIIF-Bench: How Does Your T2I Model Follow Your Instructions?

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.879231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c73a54-6442-49b1-b6ad-8f40308d6c62 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.882907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6cbc9a7-7c97-4211-9433-48b1576430ea · outbound

This paper cites Qwen-Image Technical Report.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Qwen-Image Technical Report

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.886603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591e6a73-4ffb-41ff-97be-97f818aa624b · outbound

This paper cites Janus: Decoupling visual encoding for unified multimodal understanding and generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Janus: Decoupling visual encoding for unified multimodal understanding and generation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.890313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51eaf0c8-952c-4956-a7cf-6ffc95dbe6bf · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.893816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea22e517-559e-489c-a0c5-3dc9a51399a4 · outbound

This paper cites LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.897508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a2cb71-57c7-450b-94f0-6568e6b5f5e6 · outbound

This paper cites Omnigen: Unified image generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Omnigen: Unified image generation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.901206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34af0cec-fee1-41fa-bc57-d9178a7b71b2 · outbound

This paper cites Sana 1.5: Efficient scaling of training-time and inference- time compute in linear diffusion transformer.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Sana 1.5: Efficient scaling of training-time and inference- time compute in linear diffusion transformer

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.905000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414f53da-d353-4115-8a61-2d07dd8fdfba · outbound

This paper cites Show-o: One single transformer to unify multimodal understanding and generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Show-o: One single transformer to unify multimodal understanding and generation

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.908697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6c705a-04c7-4a30-b649-78ad33a04a3b · outbound

This paper cites Show-o2: Improved Native Unified Multimodal Models.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Show-o2: Improved Native Unified Multimodal Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.912339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407fb0a1-7253-40a0-8e5b-c93341c6631c · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.916121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cdbaa3-842d-4ff5-9420-88e348106128 · outbound

This paper cites Qwen3 Technical Report.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Qwen3 Technical Report

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.919923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9313398e-7389-40e6-9162-02bc5618da1d · outbound

This paper cites Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.923852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b95ce2d4-deaf-43d9-a338-bffeab7b07e9 · outbound

This paper cites ImgEdit: A Unified Image Editing Dataset and Benchmark.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer ImgEdit: A Unified Image Editing Dataset and Benchmark

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.927991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f78b4cf-82b7-4a6b-9b14-2ebe4c44aa91 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Improved distribution matching distillation for fast image synthesis

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.931947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d8feed-c4f9-443c-ac5e-2e95158b2cf6 · outbound

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

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer One-step diffusion with distribution matching distillation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.936030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89dffe26-4af2-4f31-9c22-7e00364e6146 · outbound

This paper cites Anyedit: Mastering unified high-quality image editing for any idea.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Anyedit: Mastering unified high-quality image editing for any idea

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.939949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf94073-59ef-4700-97cb-aef9c5aa98e9 · outbound

This paper cites Root mean square layer normalization.Advances in Neural Informa- tion Processing Systems, 32, 2019.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Root mean square layer normalization.Advances in Neural Informa- tion Processing Systems, 32, 2019

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.943774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f39c923-2d12-4713-ba8e-37fb47a77507 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.947772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724d8e93-be20-455a-9c1d-538edb4c1b6a · outbound

This paper cites Waver: Wave Your Way to Lifelike Video Generation.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Waver: Wave Your Way to Lifelike Video Generation

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.951504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d577266e-387f-46a8-8ce8-25dad117d4df · outbound

This paper cites In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.955470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c04b0f-276f-44b8-818f-4219b120d5f2 · outbound

This paper cites Ultraedit: Instruction-based fine-grained image editing at scale.Advances in Neural Information Processing Systems, 37:3058–3093, 2024.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Ultraedit: Instruction-based fine-grained image editing at scale.Advances in Neural Information Processing Systems, 37:3058–3093, 2024

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.959458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b84ebc-1b0e-4bc5-bdc0-b8b55e55a319 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.963177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc1cd5d-82f7-4f75-8817-df4ba1599eb1 · outbound

This paper cites CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.968338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3e05e9-da72-47ae-a9d2-eae80e7dac7b · outbound

This paper cites 3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer 3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.977475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d8bf48-453a-46bb-adc0-368c4766b394 · outbound

This paper cites Lumina-next: Making lumina-t2x stronger and faster with next-dit.Advances in Neural Information Processing Systems (NeurIPS), 2024.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Lumina-next: Making lumina-t2x stronger and faster with next-dit.Advances in Neural Information Processing Systems (NeurIPS), 2024

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.982043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a802147-c552-40de-9f64-5ad920717acd · outbound

This paper cites Turbo”字样，胸口白色小字清晰的写着“MAI.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Turbo”字样，胸口白色小字清晰的写着“MAI

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-03T19:47:32.986689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c81ea765-ef6b-477a-a082-dd27135b2b35 · inbound

Distribution Matching Distillation Meets Reinforcement Learning cites this paper.

Distribution Matching Distillation Meets Reinforcement Learning Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T21:47:20.091819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9689cddf-a710-43e7-a250-f549ef12df32 · inbound

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation cites this paper.

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:04:10.565559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61207d22-6a08-47c7-beb3-4a670fc9c49a · inbound

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation cites this paper.

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T03:50:45.140207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e47ed3b2-0d9a-45f7-a42c-d69329f70c11 · inbound

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling cites this paper.

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:45:26.193206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd15ab86-c4cc-4ca0-a4f3-28920028d1b0 · inbound

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation cites this paper.

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T23:59:13.166878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c45f18-6d24-4c4f-8610-5b361a36f76d · inbound

RelaxFlow: Text-Driven Amodal 3D Generation cites this paper.

RelaxFlow: Text-Driven Amodal 3D Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-15T14:36:31.220132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad30ae1-7a54-4881-9abe-9c7863b9657c · inbound

Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution cites this paper.

Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-15T13:54:54.362524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f06452c-899d-4cbe-8af5-7c5b96768746 · inbound

Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation cites this paper.

Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T22:28:35.981853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f73945-cecc-42ca-ae2d-8aa94eb462d6 · inbound

Gen-Searcher: Reinforcing Agentic Search for Image Generation cites this paper.

Gen-Searcher: Reinforcing Agentic Search for Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:19:28.174364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5dabeb3f-6b33-458e-a361-9663a75f3a2d · inbound

Gen-Searcher: Reinforcing Agentic Search for Image Generation cites this paper.

Gen-Searcher: Reinforcing Agentic Search for Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:35:25.098083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b77b497-933e-4086-9e0d-f277a852add0 · inbound

The Darkside-20k Data Acquisition System cites this paper.

The Darkside-20k Data Acquisition System Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-15T11:41:34.003655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2f45c2-1057-43f1-be25-518e96e59c0a · inbound

Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks cites this paper.

Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-13T20:13:13.384687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f996419c-c92a-4bdb-8b41-27907867f2e5 · inbound

Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse cites this paper.

Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a7e33da-a28a-4c72-b3fe-9c75e168f906 · inbound

Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks cites this paper.

Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d75b1bd7-cfe4-4999-99be-cd9f949c808d · inbound

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation cites this paper.

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4c7aac1-ebda-46a6-a70f-503b84790f99 · inbound

FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent Decoding cites this paper.

FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent Decoding Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48fdee11-6ed5-4f2b-b553-24007ea23e7a · inbound

On Semiotic-Grounded Interpretive Evaluation of Generative Art cites this paper.

On Semiotic-Grounded Interpretive Evaluation of Generative Art Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e7cb078-fdec-46b6-ad90-1fd8751cb2ff · inbound

Large-Scale Universal Defect Generation: Foundation Models and Datasets cites this paper.

Large-Scale Universal Defect Generation: Foundation Models and Datasets Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92aac240-6ecb-478c-9dad-be700d893396 · inbound

CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation cites this paper.

CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 099445d6-f0a5-4aad-b13c-c522b680c04d · inbound

The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results cites this paper.

The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5935658-43c1-4359-a2b0-689c357093db · inbound

Continuous Adversarial Flow Models cites this paper.

Continuous Adversarial Flow Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5ff860e-bbb6-4c15-a1fd-bd4fb9d41786 · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b10757ed-f2b8-4fb0-884c-5e5a2b9ce54b · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T21:00:35.123495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f8c86e-05db-46ce-a1dc-b0859e697aa2 · inbound

Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image cites this paper.

Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77041e8f-db5e-49b2-9d15-3f1d466ba68f · inbound

The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview cites this paper.

The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0892c14-ad66-425e-a09e-f4a8187004c6 · inbound

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning cites this paper.

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ff27e17-cf46-4aa6-a733-f62ccdf10847 · inbound

Generative Texture Filtering cites this paper.

Generative Texture Filtering Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbf6b477-aadd-4885-a492-4d722f1dbd7e · inbound

CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers cites this paper.

CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5428014a-1fe5-4524-bdc6-b1ef0aff91bd · inbound

CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation cites this paper.

CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd4be4e1-ee35-4e95-a56f-c341d9bdf020 · inbound

LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model cites this paper.

LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27fca583-69d2-4df7-852a-6acb7e861bb8 · inbound

Context Unrolling in Omni Models cites this paper.

Context Unrolling in Omni Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:21:04.931128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1a80a04-44b1-4eb5-a0b4-8f57ef3288c8 · inbound

Evaluating Remote Sensing Image Captions Beyond Metric Biases cites this paper.

Evaluating Remote Sensing Image Captions Beyond Metric Biases Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c9c3ed0-f207-4226-b77f-0dc902f4d138 · inbound

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation cites this paper.

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:41:18.866479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a95c9959-6841-4ac8-b32b-bcfbbdf71840 · inbound

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation cites this paper.

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-20T23:43:51.133147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db9e4650-eadd-442f-80c2-32e8716eb0b9 · inbound

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds cites this paper.

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:31:15.532397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 447a3ff7-4aba-47f8-90f5-f57ee42ad371 · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-12T10:21:27.778015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f969dd79-c707-434e-b7f4-416d4c3c0c94 · inbound

IdentiFace: Multi-Modal Iterative Diffusion Framework for Identifiable Suspect Face Generation in Crime Investigations cites this paper.

IdentiFace: Multi-Modal Iterative Diffusion Framework for Identifiable Suspect Face Generation in Crime Investigations Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:36:09.875360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7fb7cef-3eb9-4c96-b3cc-8f1de6789977 · inbound

DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing cites this paper.

DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3839a43e-4ad8-4af3-afde-3e5328c28376 · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a047d48-282c-4393-929b-712f74b3d7de · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-05-21T08:19:52.748945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9e6f6f5-29df-494c-b074-86a36ec0e97a · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:25:09.309077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 38cc7c59-5d00-4bf4-a5d2-3eb91df2f4b2 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T17:36:05.880328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c512b63-7543-4e52-958a-3235cd013849 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 94

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:19:13.387338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8b77ce6-e2a8-43b4-8300-545bc9362a7e · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 94

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T23:45:07.774888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55e44ee2-ca52-4881-943e-9a1c8d803520 · inbound

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models cites this paper.

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:46:10.551454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c583c316-ad95-453d-8501-413389feb0b6 · inbound

Weblica: Scalable and Reproducible Training Environments for Visual Web Agents cites this paper.

Weblica: Scalable and Reproducible Training Environments for Visual Web Agents Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0aeee1d-3b38-4a49-b64a-d2f586c94d92 · inbound

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation cites this paper.

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:08:37.771343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3fcf03f2-dcb1-4a58-8713-a067cb85b8dd · inbound

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers cites this paper.

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:06:26.554232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation abdb0e5c-0307-4df3-83f4-b1c34a40fc55 · inbound

Qwen-Image-2.0 Technical Report cites this paper.

Qwen-Image-2.0 Technical Report Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:21:21.908923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9b3cfab-41d8-4c3d-af72-011b99644dcf · inbound

HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer cites this paper.

HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T07:32:29.555288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d395256-cd06-4085-ae0e-b61278a91c60 · inbound

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition cites this paper.

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T07:47:32.694082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb153ed3-bed7-4ca1-ac32-331d3ef8d85a · inbound

L2P: Unlocking Latent Potential for Pixel Generation cites this paper.

L2P: Unlocking Latent Potential for Pixel Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:17:29.693414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5dbc52be-3602-4f6d-9dd4-6e6d071ff3e5 · inbound

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation cites this paper.

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-13T06:02:23.965122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6cde5d40-9720-49ae-ac79-82fb15a9599b · inbound

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation cites this paper.

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:03:03.380931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1595dcbd-9599-46a1-a445-a10c6da4c2a8 · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:17:18.556563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4c8bf21-737f-4cc2-aec3-215709b58134 · inbound

Asymmetric Flow Models cites this paper.

Asymmetric Flow Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:29:23.980182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 82e6df93-5d93-43ce-9b5f-608c6c6eef25 · inbound

Asymmetric Flow Models cites this paper.

Asymmetric Flow Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:15:47.403870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37b7dcd6-5027-43e7-88bb-71d9018296e6 · inbound

ImageAttributionBench: How Far Are We from Generalizable Attribution? cites this paper.

ImageAttributionBench: How Far Are We from Generalizable Attribution? Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:39:23.941699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 60678dc0-9456-4475-83a5-6107738bb82e · inbound

Early Semantic Grounding in Image Editing Models for Zero-Shot Referring Image Segmentation cites this paper.

Early Semantic Grounding in Image Editing Models for Zero-Shot Referring Image Segmentation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:47:53.663940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b760ebc0-0715-456c-bc1b-67cdc84f6ed0 · inbound

Skill-Aligned Annotation for Reliable Evaluation in Text-to-Image Generation cites this paper.

Skill-Aligned Annotation for Reliable Evaluation in Text-to-Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:19:28.523947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23a48b4a-a355-48e2-9816-b1a4461148fc · inbound

MiVE: Multiscale Vision-language features for reference-guided video Editing cites this paper.

MiVE: Multiscale Vision-language features for reference-guided video Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:25:03.107055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa9d0521-cb63-4926-b5ca-dd15af61dabe · inbound

MiVE: Multiscale Vision-language features for reference-guided video Editing cites this paper.

MiVE: Multiscale Vision-language features for reference-guided video Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.287958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7a59463-21f3-462f-b3e0-321f4ebdceab · inbound

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning cites this paper.

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-19T16:37:39.687982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fa1d10c9-266c-4d35-9f88-e295a47ef820 · inbound

ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing cites this paper.

ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T15:52:37.994981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be3b8e36-4603-411f-ba70-facfd708f8e4 · inbound

ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing cites this paper.

ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:00:31.040146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de55417a-ad8e-4275-9140-d6e2c400a9d6 · inbound

Generative 3D Gaussians with Learned Density Control cites this paper.

Generative 3D Gaussians with Learned Density Control Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 74

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T22:33:48.274173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f460ee5a-99ca-4f56-8772-4d02b46ad0d8 · inbound

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models cites this paper.

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:22:48.589217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45151883-4db4-4572-b394-baf24449adb6 · inbound

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens cites this paper.

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T12:08:15.771619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 316a5af7-dff3-435d-a625-0c6a031864de · inbound

Aurora: Unified Video Editing with a Tool-Using Agent cites this paper.

Aurora: Unified Video Editing with a Tool-Using Agent Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:48:12.763848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbe23e63-4e81-44f5-8cfc-af82c5c626aa · inbound

TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards cites this paper.

TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-20T07:03:06.383496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f92daffe-b3ff-42ef-9028-b32cebb42f6d · inbound

TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards cites this paper.

TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:55:00.426710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37248da7-a389-43e1-af83-b006d5a92ffb · inbound

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset cites this paper.

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:23:03.844651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea07c8b7-d30c-4016-b316-ad23bfb8c304 · inbound

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

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 2026-05-21T05:29:39.442913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93fe4d9c-ca9d-4f57-81ca-9437f9c2e4e9 · inbound

TextSculptor: Training and Benchmarking Scene Text Editing cites this paper.

TextSculptor: Training and Benchmarking Scene Text Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.382658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b9b421a-11ce-4d42-82fc-8e380c91cbf4 · inbound

Semantic Granularity Navigation in Image Editing cites this paper.

Semantic Granularity Navigation in Image Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:53:59.253255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0e0c0f8-f4cb-42a5-b874-ee8466ec0beb · inbound

Semantic Granularity Navigation in Image Editing cites this paper.

Semantic Granularity Navigation in Image Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:14:56.723749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13c4cd87-0da6-4b54-b76e-0c73654c64aa · inbound

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset cites this paper.

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:23:58.462333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63013c4a-e02c-4a8b-a597-70b05bca2e5f · inbound

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models cites this paper.

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:34:46.672966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b614969-39fc-42e9-b966-8695b3e27b3a · inbound

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation cites this paper.

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:31:22.956361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e27a481-fc03-474b-8b43-0303f01f40a4 · inbound

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation cites this paper.

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:40:24.016810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 556454ff-12bf-4794-89d3-88c733105e57 · inbound

VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation cites this paper.

VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:00:22.644501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 720c0356-bc8b-4626-bbf2-b701df67983a · inbound

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion cites this paper.

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:20:19.320175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea21e8d1-4834-4059-b13e-3185bd86d825 · inbound

ERNIE-Image Technical Report cites this paper.

ERNIE-Image Technical Report Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T00:14:04.688925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92ade3b5-999d-4ee1-a5f4-630b0460b8c9 · inbound

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching cites this paper.

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:24:00.295379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c9a2b82-a5a7-4ba5-bdc1-99e85f94e06a · inbound

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models cites this paper.

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:54.684926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fa55d78-00bc-496d-8704-a3ffb4032cf9 · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:14.172762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6c31b516-3052-4135-b574-9cec68c14a39 · inbound

GenClaw: Code-Driven Agentic Image Generation cites this paper.

GenClaw: Code-Driven Agentic Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.965775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13eec3df-aae4-4317-9945-ad92c785e957 · inbound

Representation Forcing for Bottleneck-Free Unified Multimodal Models cites this paper.

Representation Forcing for Bottleneck-Free Unified Multimodal Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:16:00.955045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ea2d78c-ba30-4fbc-9249-11a3c2607b33 · inbound

Representation Forcing for Bottleneck-Free Unified Multimodal Models cites this paper.

Representation Forcing for Bottleneck-Free Unified Multimodal Models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T15:31:57.426559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac07a1a-1c56-4107-af36-6adacb35cd8c · inbound

APE: Agentic Prompt Enhancer for Image Generation and Editing cites this paper.

APE: Agentic Prompt Enhancer for Image Generation and Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:02:46.691177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99549bc5-3916-4355-85bf-4c8b726b27d2 · inbound

MemoGen: Can Past Experience Improve Future Text-to-Image Generation? cites this paper.

MemoGen: Can Past Experience Improve Future Text-to-Image Generation? Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:36:27.152945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84b95862-e056-43f9-b6d3-40817345acc6 · inbound

Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation cites this paper.

Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:16:47.710013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00b2c270-c0c3-4a1f-822e-07dff5e6702f · inbound

TextWand: A Unified Framework for Scene Text Editing cites this paper.

TextWand: A Unified Framework for Scene Text Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:36:57.307931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 873e85cf-971b-4c71-8d0f-8c502e25b75b · inbound

Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models cites this paper.

Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:46:55.812192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3da1bde6-f4c2-476d-84de-f8287c8eef86 · inbound

NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis cites this paper.

NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:17:28.839137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eff6429b-4930-413c-b119-94d6da010edd · inbound

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions cites this paper.

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:07:27.947025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4562b7f-ec49-4b61-aa2b-eedd15c64ef6 · inbound

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions cites this paper.

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-15T10:53:37.186361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890f8b57-61be-47be-b68a-9f0b8abd0265 · inbound

Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency cites this paper.

Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:57:38.065459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a2cd6be4-646e-488c-8f30-afb48953ef69 · inbound

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation cites this paper.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:47:38.642928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.