Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 3 inbound Pith citation observations for arXiv:2502.05415.
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 2026-08-08T19:32:32.091286Z
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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74 of 74 outbound references displayed
External citation measurements
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Nocaps: Novel object captioning at scale
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Meissonic: Revitalizing masked generative transformers for efficient high- resolution text-to-image synthesis
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Maskgit: Masked generative image transformer
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Muse: Text-To-Image Generation via Masked Generative Transformers
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding DreamLLM: Synergistic Multimodal Comprehension and Creation
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Scaling Diffusion Language Models via Adaptation from Autoregressive Models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Multistep Consistency Models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Reference 18
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Classifier-free diffusion guidance
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Denoising diffusion probabilistic models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding CLLMs: Consistency Large Language Models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding LLaVA-OneVision: Easy Visual Task Transfer
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Evaluating Object Hallucination in Large Vision-Language Models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Microsoft coco: Common objects in context
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Observation 0c2adbeb-1897-479c-9aa0-3f3b135984a4 · outbound
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding World Model on Million-Length Video And Language With Blockwise RingAttention
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 30
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Improved baselines with visual instruction tuning
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Learn to explain: Multimodal reasoning via thought chains for science question answering
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Plummer, Liwei Wang, Christopher M
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Sdxl: Improving latent diffusion models for high-resolution image synthesis
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding High- resolution image synthesis with latent diffusion models
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Improved Techniques for Training Consistency Models
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