Paper Citation Record · LEDGER

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.20536.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.20536 v2

Coverage vector

measured 44 of 44 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation d6899d82-398f-4f11-b72a-7b59f93a6030 · outbound

This paper cites Stable diffusion 3.5, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Stable diffusion 3.5, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.728458Z

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Observation 85bd8003-b8c5-44c7-9910-2e5bdf161144 · outbound

This paper cites Qwen2.5-VL Technical Report.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Qwen2.5-VL Technical Report

Reference 2

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Observation 8ba19294-7e78-4866-accd-fdc42b76a368 · outbound

This paper cites Imagen 3.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Imagen 3

Reference 3

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Observation 0e615d2d-709f-4b36-bdc3-bd8f8c02aa51 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 4

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Observation 9cd150dd-ee2f-40a9-8984-8475a384f11b · outbound

This paper cites A cat is A cat (not A dog!): Unraveling information mix-ups in text-to-image encoders through causal analysis and embedding optimization.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation A cat is A cat (not A dog!): Unraveling information mix-ups in text-to-image encoders through causal analysis and embedding optimization

Reference 5

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Observation b6e9aec5-c35a-4eec-bc24-c7327a7aee0c · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 6

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Observation e1fe5714-267d-4c40-876c-44facc09cecc · outbound

This paper cites Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Reference 7

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Observation 5e9babba-c76e-4cf7-92cd-a654d3476e11 · outbound

This paper cites Optimizing prompts for text-to-image generation.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Optimizing prompts for text-to-image generation

Reference 8

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Observation b666a0a6-b80c-4ace-9cbf-76a20d031ba3 · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Clipscore: A reference-free evaluation met- ric for image captioning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.646919Z

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Observation bf54c538-0ffc-4a6c-b917-6fe78e6be507 · outbound

This paper cites Token merging for training- free semantic binding in text-to-image ynthesis.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Token merging for training- free semantic binding in text-to-image ynthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.619147Z

Source-reported events for the cited work

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Observation 9b2dac5e-27ac-448f-9d9f-3ce53d79e6c8 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image genera- tion.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Pick-a-pic: An open dataset of user preferences for text-to-image genera- tion

Reference 11

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Observation 6ba383b1-5f89-4d08-a232-57b546d07fb8 · outbound

This paper cites FLUX, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation FLUX, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.577598Z

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Observation cad56581-8f34-4236-97be-ef92a6cf730d · outbound

This paper cites GenAI-bench: A holistic benchmark for composi- tional text-to-visual generation.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation GenAI-bench: A holistic benchmark for composi- tional text-to-visual generation

Reference 13

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Observation 5bc4a1a4-d43d-411d-99d8-361dc3540c68 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 14

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Observation f39972e5-3f49-4445-ae4a-8fa12728a4a4 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 15

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Observation 6559adaf-e767-489e-89c7-5a12b166e8af · outbound

This paper cites Llm- grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Llm- grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models

Reference 16

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Observation 1e4abbc1-2bc7-46c2-b9b4-35384bf545a8 · outbound

This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Evaluating text-to-visual generation with image-to-text gen- eration

Reference 17

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Observation 19c51913-f7ca-4d81-9a09-7b8c779d4018 · outbound

This paper cites Improving text- to-image consistency via automatic prompt optimization.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Improving text- to-image consistency via automatic prompt optimization

Reference 18

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Observation 46198662-f928-4522-beba-0fdd0a357647 · outbound

This paper cites Midjourney v6.1, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Midjourney v6.1, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.493876Z

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Observation d20becab-27b1-4779-8465-6e487843b7d9 · outbound

This paper cites Mistral Small 3.1 24B, 2025.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Mistral Small 3.1 24B, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.476957Z

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Observation 5ef08d99-5069-4506-b30b-d1e812db5226 · outbound

This paper cites Preference Adaptive and Sequential Text-to-Image Generation.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Preference Adaptive and Sequential Text-to-Image Generation

Reference 21

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This paper cites DALL·E 3, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation DALL·E 3, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.459364Z

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Observation db45fed3-a9c5-4735-80b1-5bd4e5e2047a · outbound

This paper cites GPT-4o, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation GPT-4o, 2024

Reference 23

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Observation 9af0ee99-28b3-4940-94c4-97bc2474662e · outbound

This paper cites SDXL: Improving latent diffusion mod- els for high-resolution image synthesis.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation SDXL: Improving latent diffusion mod- els for high-resolution image synthesis

Reference 24

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Observation 37364faa-1a5f-4e2d-8f0d-df1f299e7bf1 · outbound

This paper cites DiffusionGPT: Llm-driven text-to-image generation system.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation DiffusionGPT: Llm-driven text-to-image generation system

Reference 25

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Observation 07f00783-f7a6-4e2c-ac2d-58a705075aef · outbound

This paper cites Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.407784Z

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Observation 045be20a-1125-4bbb-bd6f-f378cc26e1c9 · outbound

This paper cites Recraft v3, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Recraft v3, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.391415Z

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Observation 68158eb5-dc9a-491e-9a2e-fc2222b413b5 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 28

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This paper cites Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J

Reference 29

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Observation 4234a7c2-b3ce-455e-b7bc-45363b385185 · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Agent Laboratory: Using LLM Agents as Research Assistants

Reference 30

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This paper cites Hugginggpt: Solving AI tasks with chatgpt and its friends in huggingface.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Hugginggpt: Solving AI tasks with chatgpt and its friends in huggingface

Reference 31

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Observation c93bc022-7dc0-4a7a-8308-23f98a6e5e84 · outbound

This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.341920Z

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Observation c20c92ec-6a9f-4888-abbc-1f4678feed32 · outbound

This paper cites LangGraph, 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation LangGraph, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.325749Z

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Observation 96dda723-738d-4614-85da-4e00a0a7bc47 · outbound

This paper cites Lumina-image 2.0 : A unified and efficient image generative model, 2025.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Lumina-image 2.0 : A unified and efficient image generative model, 2025

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.309746Z

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Observation 273114b7-b939-45f3-a1e3-0dfae18ad123 · outbound

This paper cites Omost github page (https://github.com/lllyasviel/omost), 2024.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Omost github page (https://github.com/lllyasviel/omost), 2024

Reference 35

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Observation 8e17cea4-8c05-43da-bfd6-a02cf2bca598 · outbound

This paper cites Genartist: Multimodal LLM as an agent for unified image generation and editing.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Genartist: Multimodal LLM as an agent for unified image generation and editing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.274676Z

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Observation 33b72917-13e6-42ff-9271-8dbb31e6c37b · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 37

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This paper cites Gonzalez, Boyi Li, and Trevor Darrell.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Gonzalez, Boyi Li, and Trevor Darrell

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.256253Z

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Observation b6a3f05b-2d71-430b-97d8-0ebe8b51becd · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:25.713836Z

Source-reported events for the cited work

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Observation cf341486-f472-4247-87cd-1afd8c01e155 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.240216Z

Source-reported events for the cited work

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Observation 4c85d832-981d-4d20-968a-c34df01dbbbe · outbound

This paper cites Narasimhan, and Yuan Cao.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Narasimhan, and Yuan Cao

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.224001Z

Source-reported events for the cited work

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Observation 9ba3b752-eead-48a1-99b0-e60916bf8751 · outbound

This paper cites Finestyle: Fine-grained controllable style personalization for text-to-image models.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Finestyle: Fine-grained controllable style personalization for text-to-image models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.208383Z

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Observation e800afd1-47ab-44ac-9d96-930a353f5de9 · outbound

This paper cites Golden Noise for Diffusion Models: A Learning Framework.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation Golden Noise for Diffusion Models: A Learning Framework

Reference 43

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This paper cites A Mustang galloping across a field, with a dog chasing joyfully behind.

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation A Mustang galloping across a field, with a dog chasing joyfully behind

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:26.191286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.