Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:44:10.345082Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 7 inbound Pith citation observations for arXiv:2508.09983.
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 2026-08-05T20:44:10.345082Z
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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.
Source: arxiv_reference, observed 2026-07-03T21:18:58.071427Z
49 of 49 outbound references displayed
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Observation 6b5aec0f-d257-40d6-b4e4-74d38849c835 · outbound
Story2Board: A Training-Free Approach for Expressive Storyboard Generation Amazon mechanical turk
Reference 1
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Composition: What is breathing room? https://www.animatorisland.com/ composition-what-is-breathing-room/ , 2014
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation The chosen one: Consistent characters in text- to-image diffusion models
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation The Visual Story: Creating the Visual Struc- ture of Film, TV , and Digital Media
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Negative space: Film composition guide
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation TokenFlow: Consistent Diffusion Features for Consistent Video Editing
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation In-Context LoRA for Diffusion Transformers
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Multi-concept customization of text- to-image diffusion
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Unresolved cited work
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation DINOv2: Learning Robust Visual Features without Supervision
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation A threshold selection method from gray- level histograms
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Hierarchical Text-Conditional Image Generation with CLIP Latents
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer
Reference 27
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Photorealistic text-to-image diffusion models with deep lan- guage understanding
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation OminiControl: Minimal and Universal Control for Diffusion Transformer
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Key-locked rank one editing for text-to-image personaliza- tion
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Training-free consis- tent text-to-image generation
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Training-Free Consistent Text-to-Image Generation
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Plug-and-play diffusion features for text-driven image-to- image translation
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Attention is all you need
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation SEED-Story: Multimodal Long Story Generation with Large Language Model
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
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Story2Board: A Training-Free Approach for Expressive Storyboard Generation Magicbrush: A manually annotated dataset for instruction- guided image editing
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