Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2406.13743.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:43.571101Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T13:23:47.427719Z
Reference resolution
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fffa1bfe-1607-440d-97e7-b7bc8f092de5 · inbound
Detecting Human Artifacts from Text-to-Image Models cites this paper.
Detecting Human Artifacts from Text-to-Image Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c00f906e-fc29-4576-8777-748cefb19812 · inbound
High-Resolution Image Synthesis via Next-Token Prediction cites this paper.
High-Resolution Image Synthesis via Next-Token Prediction GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 63
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 376e513f-6908-436a-b939-e06b0f8971c1 · inbound
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild cites this paper.
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 009c486e-e436-413d-a1e7-b38533cac5f6 · inbound
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 24
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a6f06a76-e92b-4222-bda5-9dcebc36ae81 · inbound
EvalGIM: A Library for Evaluating Generative Image Models cites this paper.
EvalGIM: A Library for Evaluating Generative Image Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb6b0374-f776-4503-8711-0803822a4cb4 · inbound
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation cites this paper.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5891fbb-79d0-44d8-be45-48376fc8b49d · inbound
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation cites this paper.
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 22
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b2c457f-ebf4-44f0-8d14-8898f957bb99 · inbound
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models cites this paper.
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 031f252d-3a54-4090-9bf8-ff7c55b0c9b9 · inbound
Multi-Modal Language Models as Text-to-Image Model Evaluators cites this paper.
Multi-Modal Language Models as Text-to-Image Model Evaluators GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa7aeb7f-a96e-4b26-ba40-5ed73e0c247c · inbound
Improving Physical Object State Representation in Text-to-Image Generative Systems cites this paper.
Improving Physical Object State Representation in Text-to-Image Generative Systems GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 12
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81838fe5-29bc-4b25-8eb6-c8fbb5e161c5 · inbound
PiCo: Enhancing Text-Image Alignment with Improved Noise Selection and Precise Mask Control in Diffusion Models cites this paper.
PiCo: Enhancing Text-Image Alignment with Improved Noise Selection and Precise Mask Control in Diffusion Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 712bbeb4-4630-4507-975e-d301c26d874b · inbound
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 233
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8ab0b5e-2c44-4626-a456-6b8df16829bd · inbound
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment cites this paper.
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bd714eb-f125-4c00-9927-2646a537b6fc · inbound
Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation cites this paper.
Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6d82efc-93f1-4e0a-9be3-468e66cde8ea · 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 GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 836d8399-db45-4cb3-84f0-0bbc4b029464 · inbound
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57a1ef34-babb-4bcd-8a90-6077c31f9dce · inbound
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4093adbf-4e7f-4333-9802-e5abbf15e686 · inbound
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation cites this paper.
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c609c333-7627-4635-9bbd-fa9e148f5191 · inbound
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation cites this paper.
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7b6832e-462a-4b40-b691-402e80d01c12 · inbound
FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space cites this paper.
FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 28
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e00c755e-965c-4a5d-baba-242b3ce242be · inbound
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00571947-fd5a-4889-aa9f-1a4e481338b5 · inbound
4KAgent: Agentic Any Image to 4K Super-Resolution cites this paper.
4KAgent: Agentic Any Image to 4K Super-Resolution GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 101
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc4ce276-d8bb-4f72-b948-675d50d021df · inbound
Towards Effective Human-in-the-Loop Assistive AI Agents cites this paper.
Towards Effective Human-in-the-Loop Assistive AI Agents GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c680697-6155-42b6-8e81-e2a24850fc4a · inbound
Trade-offs in Image Generation: How Do Different Dimensions Interact? cites this paper.
Trade-offs in Image Generation: How Do Different Dimensions Interact? GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d33fa69b-7a28-4909-9114-fbebdc2da3be · inbound
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b15b544-8055-4470-8502-c0d2b6fc4c0a · inbound
Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets cites this paper.
Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 817fe4d2-c078-4b26-b7d9-ae1f0aec9d92 · 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 GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e2288a9-e8a4-4b19-85a0-1741d6505915 · inbound
Early Estimation of Language to Latent Alignment in Diffusion Models cites this paper.
Early Estimation of Language to Latent Alignment in Diffusion Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 24
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3bcdb40-25d5-437a-b8f1-11cddfe3a4ac · inbound
Efficient Adversarial Attacks on High-dimensional Offline Bandits cites this paper.
Efficient Adversarial Attacks on High-dimensional Offline Bandits GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 2015
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3ab40fd-af2a-469c-ae65-5e2b8f8c5654 · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 60
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Unavailable: canonical work link unavailable.
Observation 69cea2fc-8951-494a-8d96-e5548f0ecd28 · inbound
Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? cites this paper.
Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 9
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Source-reported events for the cited work
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Observation 13c95945-8010-4ad6-914c-d1fcba15056e · inbound
On Semiotic-Grounded Interpretive Evaluation of Generative Art cites this paper.
On Semiotic-Grounded Interpretive Evaluation of Generative Art GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 53
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a32781a-b527-43d7-82f3-65dbd40bec98 · inbound
HumanScore: Benchmarking Human Motions in Generated Videos cites this paper.
HumanScore: Benchmarking Human Motions in Generated Videos GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 28
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Observation 32463b92-e760-475d-8085-4653538e6cd4 · inbound
Image Generators are Generalist Vision Learners cites this paper.
Image Generators are Generalist Vision Learners GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 15
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 283e7cd2-6d6d-429e-8925-a71eca6cf748 · inbound
Image Generators are Generalist Vision Learners cites this paper.
Image Generators are Generalist Vision Learners GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 15
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 83bbd6d8-da19-4878-aff4-eb58cfb26284 · 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 GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 19
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 90f61cbc-c0ed-42e3-8c56-36e56bd61672 · inbound
Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling cites this paper.
Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 18
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Source-reported events for the cited work
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Observation 5db012ac-f001-4fc2-9543-e58e5fff7793 · inbound
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers cites this paper.
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 21
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f4129ff1-c1a0-43b1-9001-6706b1fb21a9 · inbound
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers cites this paper.
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 526d8ec4-e8c5-4d8e-ac59-387d73ae046d · inbound
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 16
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ab9d56a3-38b7-4d84-8e9d-cb1af0d9c4db · inbound
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1bf4a8e9-f5d5-495c-b01a-abb200617bf5 · inbound
Improved Baselines with Representation Autoencoders cites this paper.
Improved Baselines with Representation Autoencoders GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6847c576-9c14-42e9-b9f4-4a121e927b81 · inbound
FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models cites this paper.
FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eae3f1c9-55fd-4969-bed2-cc8b7662be54 · inbound
Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation cites this paper.
Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 8
- Resolution
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- arxiv_id, observed 2026-06-29T14:13:30.367898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 75bb3396-436e-428e-a6d6-399bf5c2bf4e · inbound
Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training cites this paper.
Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 13
- Resolution
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- arxiv_id, observed 2026-07-04T06:49:37.323604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 35627ccb-01a3-4d97-8f7c-af6743445c11 · inbound
DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.
DiffusionBench: On Holistic Evaluation of Diffusion Transformers GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 163
- Resolution
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- arxiv_id, observed 2026-07-04T16:59:58.175350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 04b7e5aa-3c6e-4917-ac17-8378278fc930 · inbound
Do Image Editing Models Understand Lighting? cites this paper.
Do Image Editing Models Understand Lighting? GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 24
- Resolution
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- arxiv_id, observed 2026-07-04T13:09:50.457779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b743acc6-2c6b-4af4-b431-f86c2087cd54 · inbound
Do Image Editing Models Understand Lighting? cites this paper.
Do Image Editing Models Understand Lighting? GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf99cfa5-c3d5-4670-a33c-09f9076753aa · inbound
KathaTrace: Diagnosing Semantic Trajectory Collapse in Generated Visual Narratives cites this paper.
KathaTrace: Diagnosing Semantic Trajectory Collapse in Generated Visual Narratives GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:18:58.049200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0baa27bf-ac84-4a85-af00-b16d21e2ff83 · inbound
Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models cites this paper.
Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T18:59:01.561509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59690c0c-82df-4b81-b191-5f0036796de7 · inbound
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation cites this paper.
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T13:23:47.429438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e0e78e7b-7a1f-4c7a-9805-803dd4e3f3dd · inbound
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation cites this paper.
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T07:09:39.972776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 978a0430-c666-4568-b00c-89b57bb9aab0 · inbound
VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation cites this paper.
VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T04:57:34.799559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61260bf7-9534-4614-98bc-bd70f4d3562e · inbound
Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text cites this paper.
Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:39:38.560857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2754443a-4a4a-4a44-964a-a8ae94568356 · inbound
HALLELUAI: A Hallucination-Aware AI System for Ultra-Realistic Image-to-Video Generation at Scale cites this paper.
HALLELUAI: A Hallucination-Aware AI System for Ultra-Realistic Image-to-Video Generation at Scale GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:06:00.179125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12c620fe-5572-4908-bec4-40a4bd5cc03a · inbound
Latent Reward Registers for Diffusion Preference Alignment cites this paper.
Latent Reward Registers for Diffusion Preference Alignment GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:39:05.547200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a90f5d99-d73b-4f90-bc75-21e879e8384e · inbound
Latent Reward Registers for Diffusion Preference Alignment cites this paper.
Latent Reward Registers for Diffusion Preference Alignment GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:41:15.241468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 646c45fc-7f83-48dc-8b61-75e135b1c6d2 · inbound
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains cites this paper.
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:13:22.316438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c022f01b-7d78-42ed-9a41-f369b05b03fe · inbound
TangPoetryBench: A Multi-Dimensional Benchmark and Rubric-Conditioned Evaluator for Poetry-to-Image Generation cites this paper.
TangPoetryBench: A Multi-Dimensional Benchmark and Rubric-Conditioned Evaluator for Poetry-to-Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:17:50.700719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.