Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:40.539908Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 11 inbound Pith citation observations for arXiv:2505.19415.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:40.539908Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:16:44.681599Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
90 of 90 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation ebc1c556-8043-4c91-9050-e5814de20360 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Qwen2.5-VL Technical Report
Reference 1
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation
Reference 2
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Observation 956a145d-9daa-47d9-af78-c6027cfcaf70 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 3
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Observation 319cba81-a631-4770-95e8-e365b887cfe8 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
Reference 4
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Observation 6278fd2d-b2e0-4c2b-8581-0dbde1d2c4c3 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Dreambench, 2022
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
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Observation 1fc9f34c-9f78-4159-8240-ee816df5ed74 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Personalize Anything for Free with Diffusion Transformer
Reference 7
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
Reference 8
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Observation 53f7d114-3ea6-4ae5-91c3-d463759d2edc · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 9
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Observation 826c7544-3676-4543-8fe7-c1950397d96c · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Geneval: An object-focused framework for evaluating text-to-image alignment
Reference 10
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Observation 8710b60f-8f99-42ca-9c35-fd726c61decc · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Gemini 2.0 flash, 2025
Reference 11
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Observation 20e1c83d-9c5e-4fbe-8e3d-fccc0850c1db · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 12
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Observation f6659ad7-bccc-4c04-be4e-03e0bfc88c44 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
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Observation d55fa72d-bf2f-4a12-959e-5e0f50f827f7 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models PromptCap: Prompt-Guided Task-Aware Image Captioning
Reference 14
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Observation 1df7e5ed-c53e-4a36-a83d-fcd0d8c2804e · outbound
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Reference 15
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Observation c75cbd43-9ac1-4832-8609-29b20633391c · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering
Reference 16
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Observation 102a8bb1-d20b-4a86-bbb4-b1cecbb5e0f6 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Finematch: Aspect-based fine-grained image and text mismatch detection and correction
Reference 17
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Observation a27e9937-2230-4ba7-bf44-1d7987b2a080 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
Reference 18
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Observation 5f8d031a-0586-43c7-9b1c-814c32fe0561 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models T2i- compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation
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Observation 8f14445d-b9a3-4d2a-88dd-81f43faf8828 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
Reference 20
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Observation facc9f8d-5068-4fa6-a19c-23d5ed5e58a7 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Imagic: Text-based real image editing with diffusion models
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Profashion: Prototype-guided fashion video generation with multiple reference images
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Are These the Same Apple? Comparing Images Based on Object Intrinsics
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Multi- concept customization of text-to-image diffusion
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Observation 4a731ae5-bc4e-427a-8a05-85dbd9c687fb · outbound
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Reference 25
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Unresolved cited work
Reference 26
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Observation 9453b890-c1fc-457f-aff5-3b4d4ecc2bb0 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Holistic evaluation of text-to-image models
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Observation a6d82efc-93f1-4e0a-9be3-468e66cde8ea · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
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Observation 23844377-395b-457c-90d4-a8abc9cd86da · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing
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Observation cd72b125-1a48-4f03-a3b9-fd888d5f8ff6 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion
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Observation 7464fcef-16b5-4120-bebc-5a2d6fff5501 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Reference 31
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Observation bf9c1b92-59a5-4e20-a3a0-2fb338cd9c6a · outbound
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Observation 4b4d0343-7423-42f1-a3a3-b60338de0636 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
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Observation 5a465f76-35ec-4672-9868-ce9356b68a4d · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Dreamo: A unified framework for image customization
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models GPT-4 Technical Report
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models DINOv2: Learning Robust Visual Features without Supervision
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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Observation b107bfca-6bd5-4d03-bca3-0983d68e75d2 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Reference 38
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Observation 69fc506b-bb5b-4d22-a343-267aaf41f310 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Pexels, 2014
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
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Observation c3b6b41e-ba0c-419d-a92b-f756d57ba2b1 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Lumina-Image 2.0: A Unified and Efficient Image Generative Framework
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Observation 6c3cbda5-e4ef-4687-b65c-36fb8587355a · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Learning transferable visual models from natural language supervision
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Instantbooth: Personalized text-to- image generation without test-time finetuning
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Observation 8b1da1ca-b31c-4b14-9176-dcd357f87f5f · outbound
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Observation 69cf6613-43d6-4a08-9c2e-3fa75499fcf5 · outbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models, 2023
Reference 49
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Hidream-i1: A 17b parameter open chinese text-to-image generation model
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Lmm4lmm: Benchmarking and evaluating large-multimodal image generation with lmms
Reference 51
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models InstantID: Zero-shot Identity-Preserving Generation in Seconds
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 54
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Emu3: Next-Token Prediction is All You Need
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models What You See is What You Read? Improving Text-Image Alignment Evaluation
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models GroundingBooth: Grounding Text-to-Image Customization
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Perceptual artifacts localization for image synthesis tasks
Reference 62
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Reference 64
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models entity" should be common objects; e.g., chair, dog, car, lamp, etc
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models interaction
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Reference 75
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MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models A robot and a dolphin dancing under the ocean, surrounded by swirling schools of fish
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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