Paper Citation Record · LEDGER

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost

As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2412.01271.

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

pith.paper-citation-record.v1
2412.01271 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:34:52.657768Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:31:35.751516Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:31:35.912902Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 0096384f-13f1-457c-95d8-ccbfac480b9a · outbound

This paper cites write newline.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost write newline

Reference 1

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Observation add34e51-b1fb-48c9-bec3-3d068dfa7178 · outbound

This paper cites Kandinsky 3.0 Technical Report.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Kandinsky 3.0 Technical Report

Reference 2

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Observation 4ce1ee87-3286-4eb6-90a1-85670cb53e0d · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 3

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Observation 490ce0d2-5c1e-44e4-8291-1e3a06f84b49 · outbound

This paper cites Cross-lingual and multilingual clip.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Cross-lingual and multilingual clip

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.238344Z

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Observation 45f589b4-d5b8-4335-8c7b-b1f41386ca43 · outbound

This paper cites Pixart- : Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023 a.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Pixart- : Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023 a

Reference 5

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Observation 439d30f4-0d50-4f3a-8563-05ecf9b4d9f4 · outbound

This paper cites AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:52.480541Z

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Observation f92402be-c2f8-41b5-bf40-3540ede875ce · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 7

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Observation f1d1a06d-0a54-4f45-aa57-e1adda4681e9 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Unsupervised Cross-lingual Representation Learning at Scale

Reference 8

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Observation a5962030-b7f1-48e9-9f94-073e31f6f871 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:52.493264Z

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Observation 6b792da0-1994-4d3f-a7db-2853e9e0b4ab · outbound

This paper cites The Llama 3 Herd of Models.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost The Llama 3 Herd of Models

Reference 10

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Observation 9523ebfe-afd0-490f-9d59-d0e67e1d2abe · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 11

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Observation f35225be-af6c-477b-b1a9-b8bde9da0ee5 · outbound

This paper cites Efficient diffusion training via min-snr weighting strategy.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Efficient diffusion training via min-snr weighting strategy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.213055Z

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Observation a9dbf3c5-b087-464f-837f-f3f3d94b5597 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

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Observation f58c1641-f862-48e3-b6c6-3f1f598e086f · outbound

This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 14

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Observation 7dec1bfe-41a3-4fa7-bc4f-cf3292995dfe · outbound

This paper cites Clip-vit-h-14-frozen-xlm-roberta-large-laion5b-s13b-b90k, 2023.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Clip-vit-h-14-frozen-xlm-roberta-large-laion5b-s13b-b90k, 2023

Reference 15

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Observation 02d9cd97-3ddc-48f7-a891-95c2a6f6a130 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 16

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Observation 2d52467a-6d46-4f9c-9e48-760c56a34b8d · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 17

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Observation 44c70204-fe22-4ab5-b652-290ec56af837 · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding, 2024 b.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding, 2024 b

Reference 18

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Observation 440d936b-de3a-4925-87c8-aa88cf87804d · outbound

This paper cites Microsoft COCO: Common Objects in Context.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Microsoft COCO: Common Objects in Context

Reference 19

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Observation 7a65eff2-a7a7-4ba9-90db-90fd96dcc535 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Evaluating text-to-visual generation with image-to-text generation

Reference 20

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Observation 5fe1171b-f4eb-4219-ac24-1ba135e0e56e · outbound

This paper cites Decoupled Weight Decay Regularization.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Decoupled Weight Decay Regularization

Reference 21

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Observation 2caef497-6f5c-4451-beb6-70e565d999c0 · outbound

This paper cites PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion

Reference 22

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Observation 072101b4-285f-4887-86c7-8b5f16602807 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 23

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Observation 79a89b17-af5f-40da-961a-a84aec41a555 · outbound

This paper cites PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation

Reference 24

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Observation f3a303fc-1027-4c8a-ba00-9514c34866f6 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

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MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Unresolved cited work

Reference 26

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Observation 5049546a-b893-4096-9069-bb6ebe432f21 · outbound

This paper cites Gpt-4 technical report, 2023.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Gpt-4 technical report, 2023

Reference 27

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Observation 256dcfc7-e606-4692-aae4-d67b5f40292b · outbound

This paper cites Journeydb: A benchmark for generative image understanding, 2023.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Journeydb: A benchmark for generative image understanding, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.147374Z

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Observation e42f1503-c048-4994-9232-9280e19d8618 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 29

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Observation fa05039f-d798-47e6-b5d5-9b492e17126c · outbound

This paper cites Gluegen: Plug and play multi-modal encoders for x-to-image generation.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Gluegen: Plug and play multi-modal encoders for x-to-image generation

Reference 30

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Observation 57b983e2-d39e-4044-8e37-ff5ae3244428 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 31

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MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Unresolved cited work

Reference 32

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Observation 5b539808-6bc9-46d3-bd61-3d6b6179bd18 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Zero-shot text-to-image generation

Reference 33

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Observation 5d82bcc6-9bfd-4af9-ac38-c98ca71f7f42 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 34

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Observation 9875caab-4e9d-491e-bf10-b8d4f114399e · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost High-resolution image synthesis with latent diffusion models

Reference 35

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Observation 8a77dc0b-746e-4fa6-b990-547d15dcb405 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 36

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Observation 0729244f-b06b-4311-a8b1-d83c5d583342 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 37

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Observation 16ea769d-1537-4adc-991d-3f561cf8fbf5 · outbound

This paper cites CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Reference 38

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Observation 775c2cd2-0160-4a56-b9e6-736dd176ed34 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost MVDream: Multi-view Diffusion for 3D Generation

Reference 39

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Observation 57803d5b-b49d-4c62-a1ee-8d82635dc7df · outbound

This paper cites and Akiba, T.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost and Akiba, T

Reference 40

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Observation da5e9098-5c60-4da1-a0bd-35de5b3d1f96 · outbound

This paper cites Recent advances in implicit representation-based 3d shape generation.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Recent advances in implicit representation-based 3d shape generation

Reference 41

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Observation 6e3a6694-cd28-474b-abd7-eb653d0d66a8 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.086055Z

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Observation f6886cba-c109-4b34-bfc5-7780d8c37c13 · outbound

This paper cites Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

Reference 43

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Observation 0ee658da-171d-49de-902a-5c16e0da6f7e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

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This paper cites and Hinton, G.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost and Hinton, G

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.074109Z

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Observation 3b1f2fc2-9e3a-40d2-8ff8-73f51c9c8ca9 · outbound

This paper cites Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support

Reference 46

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Observation cd3e66fb-ef2a-404f-ac23-a383f17a84c6 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost mT5: A massively multilingual pre-trained text-to-text transformer

Reference 47

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Observation e7564aa5-5d81-4f78-8d26-266640dbd62d · outbound

This paper cites Dialoguenerf: towards realistic avatar face-to-face conversation video generation.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Dialoguenerf: towards realistic avatar face-to-face conversation video generation

Reference 48

Resolution: verified exact; doi, observed 2026-08-12T04:34:52.691656Z

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Observation 359b6738-1e45-4e29-9079-5fe99e6c0873 · outbound

This paper cites AltDiffusion: A Multilingual Text-to-Image Diffusion Model.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost AltDiffusion: A Multilingual Text-to-Image Diffusion Model

Reference 49

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Observation 5a4ded44-f864-4432-8b86-8df506542cf5 · outbound

This paper cites Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:53.062083Z

Source-reported events for the cited work

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Observation 64d6d7f1-557b-48c4-b287-0ba79fa3c8f3 · outbound

This paper cites Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:52.653845Z

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Observation dfc0ca5d-8e6d-40c0-bbfc-00013c900db6 · outbound

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

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Adding conditional control to text-to-image diffusion models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:52.657768Z

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Pith citing papers

Observation 89843210-b96e-4734-9fc1-afe37ee1c9b6 · inbound

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models cites this paper.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:35.919905Z

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