Paper Citation Record · LEDGER

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2509.10260.

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

pith.paper-citation-record.v1
2509.10260 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:00:02.637120Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:00:38.879878Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy4
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6ec68cf-7578-48b7-bec4-57f91ed5baf8 · outbound

This paper cites GPT-4 Technical Report.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.502085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a1fff39-0f40-458c-9c5b-9d91e4f6bd38 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.525972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224dfcd1-0212-4c6c-bef3-aa8316d8f35f · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.531037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d4c201-77a8-40dc-90e7-17a133423272 · outbound

This paper cites DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.539956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a4dbcc-c678-429b-a395-ebcfa0b4acea · outbound

This paper cites HumanAesExpert: Advancing a Multi-Modality Foundation Model for Human Image Aesthetic Assessment.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation HumanAesExpert: Advancing a Multi-Modality Foundation Model for Human Image Aesthetic Assessment

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.544344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da7b0b7-343a-40cb-8ada-6f0f1ef0bf33 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Flow-GRPO: Training Flow Matching Models via Online RL

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.548946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbdbeaa5-5cb9-4cc6-bf99-e7ddb3d566b8 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.553580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0850a08-c914-4e6d-a2e9-3de5135487e5 · outbound

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

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.557927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc0e6f2-2d64-46b6-bdd6-6e7b3ad6e9ea · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.570245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aca9e52-c6e2-4c16-81a4-eded662de517 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.574733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3579ba1-da58-4281-8425-be9f4bf9cf55 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.579195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a766aaef-5ac8-4410-94e3-3cc254470c56 · outbound

This paper cites Spot the fake: Large multimodal model-based synthetic image detection with artifact explanation.arXiv preprint arXiv:2503.14905,.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Spot the fake: Large multimodal model-based synthetic image detection with artifact explanation.arXiv preprint arXiv:2503.14905,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.583843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87094ef-beec-4bf0-ba46-8c81f784cf00 · outbound

This paper cites Qwen-Image Technical Report.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Qwen-Image Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.587981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcec42d-5398-4697-ac10-b7e69021041d · outbound

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

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.592456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103946aa-ebb7-496f-94e5-2ce11cb51012 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation DanceGRPO: Unleashing GRPO on Visual Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.596840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57f9398-dae2-4e38-865b-effcec07831c · outbound

This paper cites UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.601147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bba8e1-30d6-402b-9b8e-b0d76efd5501 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.605646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f059fc2-fa76-4e55-a620-f8cf97d00cde · outbound

This paper cites Specifically, it covers the following topics: • In Appendix A.1, we provide a review of related works in the fields of text-to-image gen- eration and evaluation.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Specifically, it covers the following topics: • In Appendix A.1, we provide a review of related works in the fields of text-to-image gen- eration and evaluation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:00:03.318775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03c84e0c-83c7-44bf-9723-35a019cabed6 · outbound

This paper cites an unresolved cited work.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:00:03.302887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac0ae16c-85f5-4e85-88e3-a4695b939ae4 · outbound

This paper cites Some works (Team, 2024a; Xie et al., 2024; Chen et al., 2025b; Deng et al.,.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Some works (Team, 2024a; Xie et al., 2024; Chen et al., 2025b; Deng et al.,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:00:03.288650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5439ac8-7b1e-43ab-9056-a3aad2195843 · outbound

This paper cites an unresolved cited work.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:00:03.275122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b770c86-4875-4c52-aafc-f602ad5195b5 · outbound

This paper cites Despite these advancements, existing evaluation methods lack a granular assessment of common image artifacts and artifacts.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Despite these advancements, existing evaluation methods lack a granular assessment of common image artifacts and artifacts

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:00:03.261821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 840e4119-fc95-4870-a6a9-98a577dd87ca · outbound

This paper cites Normal” images (173,768) and “Artifacts.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Normal” images (173,768) and “Artifacts

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:00:03.247459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8574fa5d-a4f7-4cf6-a261-c0dce5af5ee5 · outbound

This paper cites an unresolved cited work.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Unresolved cited work

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-15T16:00:02.858274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6af726fb-200c-4ee6-afc6-6f70a6ec86d7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Proximal Policy Optimization Algorithms

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.566287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6618a2a-1d8e-4d93-a491-c42afe971272 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.535578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c877bf-e00b-493f-8a1d-93dcf6ed8df2 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.562213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b2a75ba-a526-445b-b65d-9ce92e7aef6f · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.516777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed22b50f-5b34-4825-b30a-de11c0da9e5c · outbound

This paper cites Qwen2.5-VL Technical Report.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Qwen2.5-VL Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.507511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b1ba09-4101-46fb-bfbe-e073b3bba0b3 · outbound

This paper cites Seedream 3.0 Technical Report.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation Seedream 3.0 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.521265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdecf129-045d-4c51-99ae-8ef51258cc50 · outbound

This paper cites HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer.

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T16:00:02.512179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 48e69a8d-e3b8-4b10-8257-5a589c4d7909 · inbound

Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection cites this paper.

Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T11:00:38.879878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.