Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:01:52.609484Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2507.22076.
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 2026-08-06T15:01:52.609484Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:13:10.574530Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:38:29.278949Z
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 43569dd6-df28-472c-b09b-7dd3ef991d24 · outbound
Test-time Prompt Refinement for Text-to-Image Models Flamingo: a visual language model for few-shot learning
Reference 1
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Observation d086ba3e-d8bd-4d9a-b8bc-3c593c135bf0 · outbound
Test-time Prompt Refinement for Text-to-Image Models Blended latent diffusion
Reference 2
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Reference 3
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Observation 7f4b6d50-f2df-4c29-b53a-be447b2216c3 · outbound
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Reference 4
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Test-time Prompt Refinement for Text-to-Image Models Improving image generation with better captions
Reference 5
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Reference 6
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Reference 7
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Reference 8
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Reference 9
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Test-time Prompt Refinement for Text-to-Image Models DPOK: Reinforcement learning for fine-tuning text-to-image diffu- sion models
Reference 10
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Test-time Prompt Refinement for Text-to-Image Models Layoutgpt: Compositional visual plan- ning and generation with large language models
Reference 11
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Test-time Prompt Refinement for Text-to-Image Models Layoutgpt: Compositional visual plan- ning and generation with large language models
Reference 12
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Test-time Prompt Refinement for Text-to-Image Models LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Reference 13
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Test-time Prompt Refinement for Text-to-Image Models Geneval: An object-focused framework for evaluating text- to-image alignment
Reference 14
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Test-time Prompt Refinement for Text-to-Image Models Prompt-to-Prompt Image Editing with Cross Attention Control
Reference 15
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Test-time Prompt Refinement for Text-to-Image Models GPT-4o System Card
Reference 16
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Test-time Prompt Refinement for Text-to-Image Models Few-shot classification and anatomical localization of tissues in spect imaging
Reference 17
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Test-time Prompt Refinement for Text-to-Image Models Clas- sification of microstructure images of metals using transfer learning
Reference 18
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Test-time Prompt Refinement for Text-to-Image Models Alina: Advanced line identification and notation algorithm
Reference 19
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Reference 21
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Reference 22
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Test-time Prompt Refinement for Text-to-Image Models Aligning Text-to-Image Models using Human Feedback
Reference 23
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Test-time Prompt Refinement for Text-to-Image Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 24
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Test-time Prompt Refinement for Text-to-Image Models Gligen: Open-set grounded text-to-image generation
Reference 25
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Test-time Prompt Refinement for Text-to-Image Models LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Reference 26
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Test-time Prompt Refinement for Text-to-Image Models VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning
Reference 27
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Test-time Prompt Refinement for Text-to-Image Models Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Reference 28
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Test-time Prompt Refinement for Text-to-Image Models PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models
Reference 29
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Test-time Prompt Refinement for Text-to-Image Models Simple open-vocabulary object detection
Reference 30
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Test-time Prompt Refinement for Text-to-Image Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 31
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Test-time Prompt Refinement for Text-to-Image Models Localizing object-level shape variations with text-to-image diffusion models
Reference 32
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Reference 33
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Test-time Prompt Refinement for Text-to-Image Models Diffusiongpt: Llm-driven text-to-image generation system
Reference 34
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Test-time Prompt Refinement for Text-to-Image Models Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation
Reference 35
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Reference 36
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Reference 37
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Reference 38
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Reference 39
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Reference 40
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Reference 41
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Reference 42
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Reference 46
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Reference 47
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Reference 49
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Reference 50
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Reference 59
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Reference 2023
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