Paper Citation Record · LEDGER

Detecting Human Artifacts from Text-to-Image Models

As of 13 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 5 inbound Pith citation observations for arXiv:2411.13842.

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

pith.paper-citation-record.v1
2411.13842 v2

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

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measured 83 of 83 standing notices

One-hop event checks from named stored sources.

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:09:21.328170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.426147Z

Reference resolution

78 of 78 outbound references displayed

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External citation measurements

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Outbound references

Observation 4b382a71-1666-4988-af84-fde92c5c3f91 · outbound

This paper cites an unresolved cited work.

Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 1

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Observation faa51491-e791-419a-912d-2bed5e95609a · outbound

This paper cites Cascade R-CNN: delv- ing into high quality object detection.

Detecting Human Artifacts from Text-to-Image Models Cascade R-CNN: delv- ing into high quality object detection

Reference 2

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Observation 7fe52209-512a-4005-8c9b-7834649248a7 · outbound

This paper cites SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model.

Detecting Human Artifacts from Text-to-Image Models SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model

Reference 3

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Observation ef7932a1-f622-41dc-9cb9-c556dd95080a · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Detecting Human Artifacts from Text-to-Image Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 4

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Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 5

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Observation 95857e5d-1d99-420a-872a-39b577417308 · outbound

This paper cites HumanRefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance.

Detecting Human Artifacts from Text-to-Image Models HumanRefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance

Reference 6

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Observation 874b5ea7-789f-4307-aec0-5c0e74c6df30 · outbound

This paper cites EV A-02: A visual representa- tion for neon genesis.

Detecting Human Artifacts from Text-to-Image Models EV A-02: A visual representa- tion for neon genesis

Reference 7

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Observation 005fe33d-b31d-4841-97ca-eebb59578f38 · outbound

This paper cites An introduction to ROC analysis.

Detecting Human Artifacts from Text-to-Image Models An introduction to ROC analysis

Reference 8

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Observation 7428bb6b-5c7c-4092-9214-d6f866c29684 · outbound

This paper cites Make-a-scene: Scene- based text-to-image generation with human priors.

Detecting Human Artifacts from Text-to-Image Models Make-a-scene: Scene- based text-to-image generation with human priors

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:25.100747Z

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Observation 533042dc-19f2-473e-b73a-4ff3112f0ca8 · outbound

This paper cites SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?.

Detecting Human Artifacts from Text-to-Image Models SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 10

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Observation 7fe01d7d-d375-48fe-b24e-48d65bd3a89a · outbound

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

Detecting Human Artifacts from Text-to-Image Models Clipscore: A reference-free evaluation met- ric for image captioning

Reference 11

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Observation 0491a330-40a8-4c9a-a18b-da50dbf8e79d · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Detecting Human Artifacts from Text-to-Image Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 12

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Observation a8ff1393-6c38-41ca-ad7d-c798b3f8b04c · outbound

This paper cites Denoising diffu- sion probabilistic models.

Detecting Human Artifacts from Text-to-Image Models Denoising diffu- sion probabilistic models

Reference 13

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Observation 1dec2060-692f-4e92-ba07-f97d1f94f10d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Detecting Human Artifacts from Text-to-Image Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:25.063535Z

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Observation 2aed6b8f-3aca-461b-95b2-d80640868d69 · outbound

This paper cites T2I-CompBench: A comprehensive benchmark for open-world compositional text-to-image generation.

Detecting Human Artifacts from Text-to-Image Models T2I-CompBench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 15

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Observation c3a6eaf8-d54e-454f-9461-041a1b1487b3 · outbound

This paper cites Midjourney.

Detecting Human Artifacts from Text-to-Image Models Midjourney

Reference 16

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Observation 9f50d2fe-4f1d-4ed3-a22b-38a0ad212f57 · outbound

This paper cites YOLOv8: State-of-the-Art Object Detection and Segmentation Models.

Detecting Human Artifacts from Text-to-Image Models YOLOv8: State-of-the-Art Object Detection and Segmentation Models

Reference 17

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Observation 144353c2-66f0-4e07-b5fa-988098e1a5e2 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Detecting Human Artifacts from Text-to-Image Models Imagic: Text-based real image editing with diffusion models

Reference 18

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Observation 1be5ca08-d888-43c2-ab1e-5b1b2187656e · outbound

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

Detecting Human Artifacts from Text-to-Image Models Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:25.006474Z

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Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 20

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Observation a25fca41-c83d-4718-beec-475c912add7e · outbound

This paper cites Holistic evaluation of text-to-image models.

Detecting Human Artifacts from Text-to-Image Models Holistic evaluation of text-to-image models

Reference 21

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Observation fffa1bfe-1607-440d-97e7-b7bc8f092de5 · outbound

This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.

Detecting Human Artifacts from Text-to-Image Models GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

Reference 22

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Observation 09be85ef-4b94-4f0a-a011-6428b0264b08 · outbound

This paper cites Multiple-Human Parsing in the Wild.

Detecting Human Artifacts from Text-to-Image Models Multiple-Human Parsing in the Wild

Reference 23

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Observation ac5e44c4-6c04-48f5-8d90-6982387a546c · outbound

This paper cites Girshick, and Kaiming He.

Detecting Human Artifacts from Text-to-Image Models Girshick, and Kaiming He

Reference 24

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Observation 8e208369-49a4-49ca-a3f8-8cc5ab437404 · outbound

This paper cites Kohlhoff, Deepak Ramachandran, and Vidhya Navalpakkam.

Detecting Human Artifacts from Text-to-Image Models Kohlhoff, Deepak Ramachandran, and Vidhya Navalpakkam

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.958732Z

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Observation db83a9ed-6503-4860-9a50-2a153c6a61c5 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Detecting Human Artifacts from Text-to-Image Models Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 26

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Observation b73fdb0a-ad79-4602-9e34-7417d0fa729a · outbound

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

Detecting Human Artifacts from Text-to-Image Models Evaluating text-to-visual generation with image-to-text gen- eration

Reference 27

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Observation 9018feb3-8e14-480d-845c-06e4b22b7ff1 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Detecting Human Artifacts from Text-to-Image Models Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 28

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Observation 879a9116-1e33-4ca4-a6d6-c489cea0a094 · outbound

This paper cites Decoupled weight decay regularization.

Detecting Human Artifacts from Text-to-Image Models Decoupled weight decay regularization

Reference 29

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Observation 8b9e03b2-c02e-420f-8b5c-5114fa6f13ce · outbound

This paper cites HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting.

Detecting Human Artifacts from Text-to-Image Models HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting

Reference 30

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Observation de01e16c-b30a-40ae-a70e-1604bfd7eee9 · outbound

This paper cites Generating images from captions with attention.

Detecting Human Artifacts from Text-to-Image Models Generating images from captions with attention

Reference 31

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Observation 56880b24-b96c-4b40-aefd-6289a5a29a11 · outbound

This paper cites Llama 3.2.

Detecting Human Artifacts from Text-to-Image Models Llama 3.2

Reference 32

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Observation f8193b9d-73cd-45fb-917d-9124d84d8ab5 · outbound

This paper cites Hand- iffuser: Text-to-image generation with realistic hand appear- ances.

Detecting Human Artifacts from Text-to-Image Models Hand- iffuser: Text-to-image generation with realistic hand appear- ances

Reference 33

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This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.

Detecting Human Artifacts from Text-to-Image Models Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 34

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This paper cites DALL-E 2.

Detecting Human Artifacts from Text-to-Image Models DALL-E 2

Reference 35

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Detecting Human Artifacts from Text-to-Image Models DALL-E 3

Reference 36

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Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 37

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Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 38

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Observation 6b6f2f2f-54b7-41b5-ae5b-79c53b50246c · outbound

This paper cites Toward verifiable and reproducible human evaluation for text-to-image generation.

Detecting Human Artifacts from Text-to-Image Models Toward verifiable and reproducible human evaluation for text-to-image generation

Reference 39

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This paper cites On aliased resizing and surprising subtleties in GAN evaluation.

Detecting Human Artifacts from Text-to-Image Models On aliased resizing and surprising subtleties in GAN evaluation

Reference 40

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Observation ba9dfb44-e3a5-456f-80e1-d61f09440a4e · outbound

This paper cites Giving a hand to diffusion models: A two-stage ap- proach to improving conditional human image generation.

Detecting Human Artifacts from Text-to-Image Models Giving a hand to diffusion models: A two-stage ap- proach to improving conditional human image generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.773646Z

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Observation 9624fa11-0aa9-4204-9619-f39ba88e7bff · outbound

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

Detecting Human Artifacts from Text-to-Image Models SDXL: Improving latent diffusion mod- els for high-resolution image synthesis

Reference 42

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Observation ba4e311b-7a80-4632-b49a-4176397dd116 · outbound

This paper cites HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances.

Detecting Human Artifacts from Text-to-Image Models HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Reference 43

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Observation 578e45f7-5092-4e09-bfb4-7508dfe19dc8 · outbound

This paper cites Zero-shot text-to-image generation.

Detecting Human Artifacts from Text-to-Image Models Zero-shot text-to-image generation

Reference 44

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Observation 7ea9ccb5-1414-481f-8c72-caa5407e4687 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Detecting Human Artifacts from Text-to-Image Models High-resolution image syn- thesis with latent diffusion models

Reference 45

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Observation ad6a9886-5ad3-49b6-9ecb-e1ee9c91f38d · outbound

This paper cites 300 faces in-the-wild challenge: The first facial landmark localization challenge.

Detecting Human Artifacts from Text-to-Image Models 300 faces in-the-wild challenge: The first facial landmark localization challenge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.729326Z

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Observation d5348cd0-4f36-4268-b5db-5c9ed2dddd48 · outbound

This paper cites Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen.

Detecting Human Artifacts from Text-to-Image Models Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen

Reference 47

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Observation d12c923b-0265-4557-b3ed-b068f4ca29fa · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

Detecting Human Artifacts from Text-to-Image Models CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 48

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Observation 5409df0e-e303-43c2-a228-7633b7a6d490 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

Detecting Human Artifacts from Text-to-Image Models Objects365: A large-scale, high-quality dataset for object detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.704559Z

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Observation 3d962625-9667-454b-82f1-af5a1046faaf · outbound

This paper cites Emu edit: Precise image editing via recognition and genera- tion tasks.

Detecting Human Artifacts from Text-to-Image Models Emu edit: Precise image editing via recognition and genera- tion tasks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.692415Z

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Observation eb7a8bbf-a365-471b-aa00-0c179aa1360d · outbound

This paper cites Codel: a human co-detection and labeling framework.

Detecting Human Artifacts from Text-to-Image Models Codel: a human co-detection and labeling framework

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.679774Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7fe9b97f-9ce9-4104-b64c-5cd9494df82d · outbound

This paper cites Is synthetic data all we need? benchmarking the robustness of models trained with synthetic images.

Detecting Human Artifacts from Text-to-Image Models Is synthetic data all we need? benchmarking the robustness of models trained with synthetic images

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.666937Z

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Observation 4e88cc6d-aec8-4880-912d-d8deaa9fc40e · outbound

This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.

Detecting Human Artifacts from Text-to-Image Models Weiss, Niru Mah- eswaranathan, and Surya Ganguli

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:54:24.116116Z

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Observation 80d751b9-a139-4a6c-9ca4-7cfe292f96dd · outbound

This paper cites Facial descriptors for human interaction recognition in still images.

Detecting Human Artifacts from Text-to-Image Models Facial descriptors for human interaction recognition in still images

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.644684Z

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Observation 3832b129-4c9e-4050-a4be-8de98e5aac23 · outbound

This paper cites DF-GAN: A simple and effec- tive baseline for text-to-image synthesis.

Detecting Human Artifacts from Text-to-Image Models DF-GAN: A simple and effec- tive baseline for text-to-image synthesis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.630230Z

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Observation 6c6e6514-9372-40a0-9629-41a9b86f6417 · outbound

This paper cites StableRep: Synthetic images from text-to- image models make strong visual representation learners.

Detecting Human Artifacts from Text-to-Image Models StableRep: Synthetic images from text-to- image models make strong visual representation learners

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.617107Z

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Observation 75609e93-72bb-4b80-a28a-eed16d4eba8d · outbound

This paper cites Learning vision from models rivals learning vision from data.

Detecting Human Artifacts from Text-to-Image Models Learning vision from models rivals learning vision from data

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.603145Z

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Observation 81ad1495-7352-4ae8-88af-a3d480e36810 · outbound

This paper cites Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body.

Detecting Human Artifacts from Text-to-Image Models Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T15:54:24.135433Z

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Observation 7dc51933-97b1-4cea-a31d-cf6eb7f0492b · outbound

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

Detecting Human Artifacts from Text-to-Image Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:54:24.139299Z

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Observation 27f62bce-3696-418b-a034-cca80427fa7b · outbound

This paper cites Human preference score: Better aligning text-to- image models with human preference.

Detecting Human Artifacts from Text-to-Image Models Human preference score: Better aligning text-to- image models with human preference

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.590689Z

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Observation 25e29b11-f64f-45c0-962f-7ddb0e051e9e · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Detecting Human Artifacts from Text-to-Image Models SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T15:54:24.147318Z

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Observation 2cab8f19-e711-49a0-a3b6-320f33105638 · outbound

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

Detecting Human Artifacts from Text-to-Image Models Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.579130Z

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Observation 5c25c0bf-5d3b-4d05-873d-fa0b881b7901 · outbound

This paper cites Vit- pose: Simple vision transformer baselines for human pose estimation.

Detecting Human Artifacts from Text-to-Image Models Vit- pose: Simple vision transformer baselines for human pose estimation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.567125Z

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Observation 4e9cfe27-e854-4499-95ed-11b60012be24 · outbound

This paper cites Improving text-to-image synthesis using contrastive learning.

Detecting Human Artifacts from Text-to-Image Models Improving text-to-image synthesis using contrastive learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.554783Z

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Observation 8bd29a9a-3279-4efe-b330-e2fb217c71e3 · outbound

This paper cites High-resolution image inpainting with iterative confidence feedback and guided upsampling.

Detecting Human Artifacts from Text-to-Image Models High-resolution image inpainting with iterative confidence feedback and guided upsampling

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.542908Z

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Observation 59cb35d6-3088-47d7-8cd6-1ca486eac9cf · outbound

This paper cites Per- ceptual artifacts localization for inpainting.

Detecting Human Artifacts from Text-to-Image Models Per- ceptual artifacts localization for inpainting

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.530364Z

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Observation ef0b503d-79d1-43bc-8208-8856c7037f44 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Detecting Human Artifacts from Text-to-Image Models Adding conditional control to text-to-image diffusion models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.518218Z

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Observation bd30fcfa-c10b-481f-8de9-14c2718b1a8b · outbound

This paper cites Perceptual artifacts localiza- tion for image synthesis tasks.

Detecting Human Artifacts from Text-to-Image Models Perceptual artifacts localiza- tion for image synthesis tasks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.506644Z

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Observation 8f55bff3-c448-486e-b560-7a41234aad58 · outbound

This paper cites Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, and Shi-Min Hu.

Detecting Human Artifacts from Text-to-Image Models Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, and Shi-Min Hu

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.493884Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e272a211-e28e-47f3-91f5-d9814ccb68d6 · outbound

This paper cites Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, and Michael S.

Detecting Human Artifacts from Text-to-Image Models Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, and Michael S

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.481498Z

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Observation df85d9e1-d8ff-4769-ac72-ec286c800a09 · outbound

This paper cites DM- GAN: dynamic memory generative adversarial networks for text-to-image synthesis.

Detecting Human Artifacts from Text-to-Image Models DM- GAN: dynamic memory generative adversarial networks for text-to-image synthesis

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.469649Z

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Observation f11b5cea-2a37-4ad1-8804-9b421c112254 · outbound

This paper cites weird hand.

Detecting Human Artifacts from Text-to-Image Models weird hand

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.456885Z

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Observation 8204f00d-c92d-4b00-94c4-0d5f2a310245 · outbound

This paper cites These metrics provide a comprehensive evaluation of the model’s performance in both classification and localization tasks.

Detecting Human Artifacts from Text-to-Image Models These metrics provide a comprehensive evaluation of the model’s performance in both classification and localization tasks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.444945Z

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Observation 2a6c48af-5c25-4f1c-a717-33a3cc1df9ed · outbound

This paper cites Ablation study of key components in HADM-L.

Detecting Human Artifacts from Text-to-Image Models Ablation study of key components in HADM-L

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.431778Z

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Observation 59701714-1d75-47a3-8e13-1fa863f037b2 · outbound

This paper cites an unresolved cited work.

Detecting Human Artifacts from Text-to-Image Models Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:54:24.420193Z

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Observation e72733af-28c8-47ce-a0be-83f095dab5b5 · outbound

This paper cites The corresponding dialogue is presented in Fig.

Detecting Human Artifacts from Text-to-Image Models The corresponding dialogue is presented in Fig

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.408294Z

Source-reported events for the cited work

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Observation 92a5bf44-601a-4063-8aae-91aafbf2a580 · outbound

This paper cites 16 and global human artifacts in Fig.

Detecting Human Artifacts from Text-to-Image Models 16 and global human artifacts in Fig

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.394519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c81f3c8-39e0-4bed-b088-dca158172dce · outbound

This paper cites Last row: Midjourney.

Detecting Human Artifacts from Text-to-Image Models Last row: Midjourney

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:54:24.382932Z

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Pith citing papers

Observation 9251db26-5f69-485c-93b2-5001711ac351 · inbound

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts cites this paper.

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts Detecting Human Artifacts from Text-to-Image Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T20:09:21.328170Z

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Observation f9c8e51d-6cb1-4696-b214-ea90b9ed4141 · inbound

HumanScore: Benchmarking Human Motions in Generated Videos cites this paper.

HumanScore: Benchmarking Human Motions in Generated Videos Detecting Human Artifacts from Text-to-Image Models

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:41:04.519757Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 446f64fc-ce31-42e0-9007-e51739ce6bd2 · inbound

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts cites this paper.

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Detecting Human Artifacts from Text-to-Image Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:25.004257Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9ab5f450-8392-489b-bb60-1b30dcbc99c8 · inbound

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images cites this paper.

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images Detecting Human Artifacts from Text-to-Image Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:18:03.427904Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29d6d1eb-946a-4d9f-8a40-d1556a92c4ee · inbound

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis cites this paper.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Detecting Human Artifacts from Text-to-Image Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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