Paper Citation Record · LEDGER

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.09449.

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

pith.paper-citation-record.v1
2411.09449 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:41:19.315411Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation c4c9c0e7-e293-41c2-baf4-cafa202c9484 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models , " * write output.state after.block = add.period write newline

Reference 1

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Observation 94037c2d-34e5-4de3-beac-6b13f2f17b41 · outbound

This paper cites write newline.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models write newline

Reference 2

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Observation ed5d2ad3-fcac-4d06-be1e-d10d007bf57c · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models PaLM: Scaling Language Modeling with Pathways

Reference 3

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Observation e8293111-bf34-4eec-97ac-94f23be1c0b9 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 4

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Observation 93046a19-b317-4e81-b4a2-4d580c3aed53 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 5

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Observation 1f9c0539-392f-4a87-b868-db907c2b906b · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 6

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Source-reported events for the cited work

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Observation 616afc72-c3de-412e-b451-2e3c143df788 · outbound

This paper cites T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation

Reference 7

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Source-reported events for the cited work

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Observation 21861527-bafd-410a-b204-2cc9780c3be6 · outbound

This paper cites an unresolved cited work.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Unresolved cited work

Reference 8

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Observation 07e74307-3b8f-48d8-bd6e-01b33d8f5f20 · outbound

This paper cites Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Reference 9

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Source-reported events for the cited work

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Observation f7f41c92-3cb3-4574-85e1-386ac50b5d43 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Large Language Models are Zero-Shot Reasoners

Reference 10

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Source-reported events for the cited work

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Observation fc7cca6a-6ad3-4f99-b363-3618485cd0b4 · outbound

This paper cites ImagenHub: Standardizing the evaluation of conditional image generation models.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models ImagenHub: Standardizing the evaluation of conditional image generation models

Reference 11

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Source-reported events for the cited work

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Observation 65877162-76e5-46c1-b719-2c4fe8e560d6 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 12

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Source-reported events for the cited work

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Observation 9770d1f3-3e38-4f90-88bf-3591b6badb29 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 13

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Observation f71e0ff6-2e7f-4073-bb40-dfe381a49112 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 14

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Observation 90ec79a4-1548-42a8-a6df-091661f8fbe3 · outbound

This paper cites P.; Nicholson, A.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models P.; Nicholson, A

Reference 15

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Observation fe31e094-20d7-4070-b152-dee1b687a508 · outbound

This paper cites GPT-4 Technical Report.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models GPT-4 Technical Report

Reference 16

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Observation 5285bdb2-a2f9-4d66-aa7d-dc4fd6503f04 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models DINOv2: Learning Robust Visual Features without Supervision

Reference 17

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Source-reported events for the cited work

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Observation 211b83cf-2841-413d-b55c-418610ff0092 · outbound

This paper cites Training language models to follow instructions with human feedback.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Training language models to follow instructions with human feedback

Reference 18

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Observation 0a60e03d-71fa-423d-acb5-47750365dec6 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 19

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Observation 70e8da8c-b719-448a-aff2-87b1b817265e · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Learning Transferable Visual Models From Natural Language Supervision

Reference 20

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Observation 1aa00423-c90a-44cc-a4fc-da70fb6785b8 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 21

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Observation 04ba4d19-b4f3-4dd4-83f9-9d8bbbdef6d3 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models High-Resolution Image Synthesis with Latent Diffusion Models

Reference 22

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Observation b1a93819-e5db-4c54-98a5-e7eaea2fd835 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Unresolved cited work

Reference 23

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Observation 471bb97e-58ff-43fb-b974-1c6256447220 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 24

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Observation 09687994-558a-4ab6-9a0f-6ad57bb7f9ef · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Reference 25

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Observation 51931010-45a7-4aef-957b-36d9127dafa8 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 26

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Improved Techniques for Training GANs

Reference 27

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Observation 79eebabb-e67f-40b4-8ab4-e37f07ef8371 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 28

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 29

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 30

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 31

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

Reference 32

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Observation d5cb9888-5680-42fc-b2ce-aba082946ff2 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 33

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Observation 30eeac13-b70d-4d32-a547-b5ed131c07e3 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 34

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Observation 9876382c-a8c0-4363-9d2e-9b85f19b21af · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Reference 36

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Observation 60f123c2-a84f-4f6f-8ed5-f5535af93906 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Unresolved cited work

Reference 37

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Observation 1c99a116-7907-4279-ba57-de038f0e3585 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 38

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Observation 9f62f01a-deae-407b-a7a7-ae44ce54e319 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation

Reference 39

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Observation aedc2a37-d4a1-4de1-963c-2a64662bd8fb · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:41:19.307112Z

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Observation 2206b7ca-7081-4d66-a07f-bf07d0856936 · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Inversion-Based Style Transfer with Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T20:41:19.311532Z

Source-reported events for the cited work

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Observation 0044b981-4a0d-48bd-8717-870ce648a51e · outbound

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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T20:41:19.315411Z

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Pith citing papers

No inbound Pith citation observations are available.