It's Always 10:10: Reference Images Break a Bias That Prompts Only Dent

arXiv:2610.11320 · cs.CV, cs.HC · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.HC

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/PoisonousBelief/OmniClock

Terminology

• Benchmark — 6× in this paper · explained in 2 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes

Sources

• Extracting Training Data from Diffusion Models
• SCHEMA for Gemini 3 Pro Image: A Structured Methodology for Controlled AI Image Generation on Google's Native Multimodal Model
• MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
• MultiRef: Controllable Image Generation with Multiple Visual References
• It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models
• GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
• ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
• TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
• T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation
• GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation
• GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
• Evaluating Text-to-Visual Generation with Image-to-Text Generation
• Stable Bias: Analyzing Societal Representations in Diffusion Models
• CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration
• Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs
• Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
• Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
• Paint by Example: Exemplar-based Image Editing with Diffusion Models
• It's About Time: Analog Clock Reading in the Wild
• IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models