Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:21.265519Z
Paper Citation Record · LEDGER
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 10 inbound Pith citation observations for arXiv:2412.18150.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:26.460713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:04:45.978885Z
Reference resolution
52 of 52 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 307de585-4f03-4f32-96f1-07fbf6d6be76 · outbound
This paper cites GPT-4 Technical Report.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation GPT-4 Technical Report
Reference 1
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This paper cites Kandinsky 3.0 Technical Report.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Kandinsky 3.0 Technical Report
Reference 2
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Source-reported events for the cited work
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Observation fbda3c3d-9c86-458f-90b2-542372b9899f · outbound
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Unresolved cited work
Reference 3
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Observation 76909cde-a0cb-4a6f-ba78-e441b7868eff · outbound
This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Reference 4
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Source-reported events for the cited work
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Observation 7b580605-deab-43ad-8b41-8a96588eb7a5 · outbound
This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models
Reference 5
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Observation cb1c4a1b-9fee-49e9-9f1c-cffd3c41a872 · outbound
This paper cites Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis
Reference 6
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Observation feea6f55-9308-4406-b65d-a3da77087c31 · outbound
This paper cites Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models
Reference 7
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Observation c4652b9c-b24b-40c6-b5a5-2ff49340a79d · outbound
This paper cites If-i-xl-v1.0.
Reference 8
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Observation 8602313f-eb29-4ee1-9494-e29fc6325577 · outbound
This paper cites Dreamina.
Reference 9
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Observation 8c2fe1ef-eeb8-4120-a6e2-afbf475a170a · outbound
This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 10
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Observation 3da1b9f5-41a1-4ca2-9ce8-4e57d21880be · outbound
This paper cites Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss
Reference 11
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Observation 3e78fa1f-f29e-411d-8a9e-907b01b74f5f · outbound
This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Reference 12
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Observation 455001f5-1923-493b-adae-2ab67bd2dda2 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 13
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Observation 55b022e9-6f76-4d76-a03b-436436feaf0e · outbound
This paper cites Denoising diffu- sion probabilistic models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Denoising diffu- sion probabilistic models
Reference 14
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Observation 2523502c-afa7-4a2d-91c2-7d540c0db447 · outbound
This paper cites Midjourney.
Reference 15
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Observation 7037f01e-36fa-4e62-b6b6-918a8050cb37 · outbound
This paper cites Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering
Reference 16
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Observation a98bdefe-d7df-4fb8-9920-c50cde40387a · outbound
This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 2600e025-9e03-4bb4-bc86-c62ce442f7d9 · outbound
This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Bert: Pre-training of deep bidirectional trans- formers for language understanding
Reference 18
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Observation 23a18070-6271-4b03-87ec-cd4747603d55 · outbound
This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 19
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Observation cb6b0374-f776-4503-8711-0803822a4cb4 · outbound
This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 20
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This paper cites Evaluating and improving composi- tional text-to-visual generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Evaluating and improving composi- tional text-to-visual generation
Reference 21
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Observation f89b545d-0bd5-4bf8-ac60-28d90d10c2d7 · outbound
This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Reference 22
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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 23
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This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Reference 24
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This paper cites Rich human feedback for text-to-image generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Rich human feedback for text-to-image generation
Reference 25
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Reference 26
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Microsoft coco: Common objects in context
Reference 27
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024
Reference 28
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This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Scalable diffusion models with transformers
Reference 30
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Sdxl: Improving latent diffusion models for high-resolution image synthesis
Reference 31
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 32
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation High-resolution image syn- thesis with latent diffusion models
Reference 33
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Photorealistic text-to-image diffusion models with deep language understanding
Reference 34
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Improved techniques for training gans
Reference 35
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Adversarial diffusion distillation
Reference 36
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This paper cites EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
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This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis
Reference 38
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This paper cites Shaping datasets: Optimal data selection for spe- cific target distributions across dimensions.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Shaping datasets: Optimal data selection for spe- cific target distributions across dimensions
Reference 39
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This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 40
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This paper cites Diffu- siondb: A large-scale prompt gallery dataset for text-to- image generative models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Diffu- siondb: A large-scale prompt gallery dataset for text-to- image generative models
Reference 41
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Source-reported events for the cited work
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Observation 8b36e445-d6cc-49f1-9bc1-a2fdc6827740 · outbound
This paper cites Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
Reference 42
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This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 43
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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Imagere- ward: Learning and evaluating human preferences for text- to-image generation
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 0668094b-562a-4122-8821-04ba1d075eac · outbound
This paper cites What you see is what you read? improving text- image alignment evaluation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation What you see is what you read? improving text- image alignment evaluation
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation b767f916-d5ab-4753-b078-ea09397f85ca · outbound
This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15f99ce7-d24c-4a56-b0cb-d1f90b984ea8 · outbound
This paper cites Scaling autoregressive models for content-rich text-to-image generation.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Scaling autoregressive models for content-rich text-to-image generation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:02:21.947283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 080476d3-f4b0-4183-bb0f-b3ee56730743 · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation The unreasonable effectiveness of deep features as a perceptual metric
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:02:21.921018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d590b938-a58a-41b9-bf4c-abc96f605fdb · outbound
This paper cites In data collection details, we de- tail the classification and sampling of real user prompts in Sections 8.1 and 8.2, ensuring diversity and balance among the real prompts.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation In data collection details, we de- tail the classification and sampling of real user prompts in Sections 8.1 and 8.2, ensuring diversity and balance among the real prompts
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:02:21.894425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5eb7cd80-4821-41c8-bbe2-19b2ca55d1fa · outbound
This paper cites 1 cat and some dogs.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation 1 cat and some dogs
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:02:21.865554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7a7ddfa5-7fda-4b6e-b168-15ffacdffd25 · outbound
This paper cites Yes.” and “No.
Reference 51
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f9334116-0c08-4333-94c8-1cfcc72905b6 · outbound
This paper cites Evaluation of image-text alignment across different T2I models.
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation Evaluation of image-text alignment across different T2I models
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:02:21.821794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 332d43b9-40a9-4b4d-9326-6a9fb54f5748 · inbound
Unified Reward Model for Multimodal Understanding and Generation cites this paper.
Unified Reward Model for Multimodal Understanding and Generation EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 32
- Resolution
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- arxiv_id, observed 2026-05-14T00:44:30.874520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 875f6439-a1f1-4702-ac45-987eb212db60 · inbound
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model cites this paper.
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 8
- Resolution
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- arxiv_id, observed 2026-05-17T08:27:36.292569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24604afa-ef4f-44c1-9f38-99a20c6f70e7 · inbound
Seedream 3.0 Technical Report cites this paper.
Seedream 3.0 Technical Report EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T07:55:38.744353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 73ddecb0-e4a0-4d62-b9b0-dec03dc27092 · inbound
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching cites this paper.
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0717342c-df3f-486f-b6ef-76aa03d125a6 · inbound
LLM Code Customization with Visual Results: A Benchmark on TikZ cites this paper.
LLM Code Customization with Visual Results: A Benchmark on TikZ EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c5980de-0401-4a87-bc22-9002791225ac · inbound
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation cites this paper.
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 52
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20e1c83d-9c5e-4fbe-8e3d-fccc0850c1db · inbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a48ac7b-7546-4399-aed5-fbcb6dd31e9c · inbound
ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images cites this paper.
ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f050f52b-e189-4d85-9826-0aa32acfc810 · inbound
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.692481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de3d8133-aed9-47b5-abd9-3b631ea87206 · inbound
BEiTScore: Reference-free Image Captioning Evaluation with an Efficient Cross-Encoder Model cites this paper.
BEiTScore: Reference-free Image Captioning Evaluation with an Efficient Cross-Encoder Model EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:04:45.982530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.