A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions

arXiv:2610.00952 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/BootsofLagrangian/audit-recap-t2i

Terminology

• Verification — 11× in this paper · explained in 2 episodes
• Core — 10× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Decode — 5× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Institutional Review Board — 2× in this paper
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Multimodal Dataset — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AI Foundation Model — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Prompt Adherence — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• HunyuanImage 3.0 Technical Report
• ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
• A Standardized Machine-readable Dataset Documentation Format for Responsible AI
• What If We Recaption Billions of Web Images with LLaMA-3?
• Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
• A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
• From Pixels to Prose: A Large Dataset of Dense Image Captions
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• EmbeddingGemma: Powerful and Lightweight Text Representations
• Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation
• Qwen-Image Technical Report

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