Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering | Paper Citation Record

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This paper cites Efficient-vqgan: To- wards high-resolution image generation with efficient vision transformers.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Efficient-vqgan: To- wards high-resolution image generation with efficient vision transformers

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Unresolved cited work

Reference 2

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This paper cites Softvq-vae: Efficient 1-dimensional contin- uous tokenizer.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Softvq-vae: Efficient 1-dimensional contin- uous tokenizer

Reference 3

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This paper cites Textdiffuser: Diffusion models as text painters, 2023.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Textdiffuser: Diffusion models as text painters, 2023

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This paper cites Blip3- o: A family of fully open unified multimodal models- architecture, training and dataset, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Blip3- o: A family of fully open unified multimodal models- architecture, training and dataset, 2025

Reference 5

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This paper cites Janus- pro: Unified multimodal understanding and generation with data and model scaling, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Janus- pro: Unified multimodal understanding and generation with data and model scaling, 2025

Reference 6

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This paper cites Paddleocr-vl: Boosting multilingual document parsing via a 0.9b ultra-compact vision-language model, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Paddleocr-vl: Boosting multilingual document parsing via a 0.9b ultra-compact vision-language model, 2025

Reference 7

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This paper cites Paddleocr 3.0 technical report, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Paddleocr 3.0 technical report, 2025

Reference 8

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Observation 1e59ac32-b4e0-4254-aa80-79bc8c9dda3f · outbound

This paper cites Emerging properties in unified multimodal pretraining, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Emerging properties in unified multimodal pretraining, 2025

Reference 9

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Observation d60d169a-2e43-455d-a89a-42d46209cd5d · outbound

This paper cites Cogview: Mastering text-to- image generation via transformers, 2021.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Cogview: Mastering text-to- image generation via transformers, 2021

Reference 10

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Observation 9e7f0d52-0bfb-421f-a0f3-5bf12562f2b5 · outbound

This paper cites Textcrafter: Accurately rendering multiple texts in complex visual scenes, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Textcrafter: Accurately rendering multiple texts in complex visual scenes, 2025

Reference 11

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Observation 8fbdda5e-995f-4fa1-93b4-853199aa0e43 · outbound

This paper cites Taming transformers for high-resolution image synthesis, 2021.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Taming transformers for high-resolution image synthesis, 2021

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Observation 9da316e0-0e0b-46bc-ad4d-436c51228666 · outbound

This paper cites D-ar: Diffusion via au- toregressive models, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering D-ar: Diffusion via au- toregressive models, 2025

Reference 13

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Observation 8346a156-16fe-4566-9159-f5b6e419f57a · outbound

This paper cites X-omni: Reinforcement learning makes discrete autoregressive image generative models great again, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering X-omni: Reinforcement learning makes discrete autoregressive image generative models great again, 2025

Reference 14

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Observation 3687ca55-3ff9-4e3f-a0bc-71af85e59c14 · outbound

This paper cites Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations

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Observation 9f7d4dca-f645-4a9e-9590-ffa86f1dc3ec · outbound

This paper cites Flowtok: Flowing seamlessly across text and image tokens.arXiv preprint arXiv:2503.10772.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Flowtok: Flowing seamlessly across text and image tokens.arXiv preprint arXiv:2503.10772

Reference 16

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Observation b7aa1964-ef95-4e3c-b6e7-a9b43942feec · outbound

This paper cites Rear: Rethinking visual autoregressive models via generator-tokenizer consistency regularization, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Rear: Rethinking visual autoregressive models via generator-tokenizer consistency regularization, 2025

Reference 17

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Observation 206687de-7616-4d95-ae15-2199076ccb4f · outbound

This paper cites Plangen: Towards unified layout planning and image generation in auto-regressive vision language models,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Plangen: Towards unified layout planning and image generation in auto-regressive vision language models,

Reference 18

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Observation 5f5df810-a32f-4a3f-95aa-d2d422e9ae37 · outbound

This paper cites Denoising diffu- sion probabilistic models, 2020.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Denoising diffu- sion probabilistic models, 2020

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This paper cites Flux.https://github.com/ black-forest-labs/flux, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Flux.https://github.com/ black-forest-labs/flux, 2024

Reference 20

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Observation 7989ab84-de44-450c-adc5-358b0af6d990 · outbound

This paper cites Unleashing in-context learning of autoregressive models for few-shot image manipulation.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Unleashing in-context learning of autoregressive models for few-shot image manipulation

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Observation 2426eb64-4c45-4774-8331-dd0e82e81024 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network, 2017.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Photo-realistic single image super-resolution using a generative adversarial network, 2017

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Observation 0c8fb87a-e8c6-451e-9a15-a6431372b68a · outbound

This paper cites Draft-and-revise: Effective image gen- eration with contextual rq-transformer.Advances in Neural Information Processing Systems, 35:30127–30138, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Draft-and-revise: Effective image gen- eration with contextual rq-transformer.Advances in Neural Information Processing Systems, 35:30127–30138, 2022

Reference 23

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This paper cites Autoregressive image generation using residual quantization, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Autoregressive image generation using residual quantization, 2022

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This paper cites Vt- bench: Evaluating visual tokenizers for autoregressive image generation, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Vt- bench: Evaluating visual tokenizers for autoregressive image generation, 2025

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Observation 4618e59e-c303-48aa-a055-c39eabdf4add · outbound

This paper cites Lumina-mgpt: Illuminate flexible photorealistic text- to-image generation with multimodal generative pretraining,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Lumina-mgpt: Illuminate flexible photorealistic text- to-image generation with multimodal generative pretraining,

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Observation f148564a-c58b-4cbc-b20d-7a616eaecfdf · outbound

This paper cites Decoupled weight decay regularization, 2019.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Decoupled weight decay regularization, 2019

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Observation 7a1ae1db-0ab0-4a4a-97e9-2588ba7329d7 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

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This paper cites Unitok: A uni- 9 fied tokenizer for visual generation and understanding, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Unitok: A uni- 9 fied tokenizer for visual generation and understanding, 2025

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This paper cites Textground4m: A prompt-aligned dataset for layout-aware text rendering.Proceedings of the AAAI Conference on Artificial Intelligence, 40(10): 7918–7926, 2026.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Textground4m: A prompt-aligned dataset for layout-aware text rendering.Proceedings of the AAAI Conference on Artificial Intelligence, 40(10): 7918–7926, 2026

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Hello gpt-4o, 2024

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This paper cites Janus-pro-r1: Ad- vancing collaborative visual comprehension and generation via reinforcement learning, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Janus-pro-r1: Ad- vancing collaborative visual comprehension and generation via reinforcement learning, 2025

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Im- age transformer

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This paper cites Scalable diffusion models with transformers, 2023.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Scalable diffusion models with transformers, 2023

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This paper cites Du, Zehuan Yuan, and Xin- glong Wu.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Du, Zehuan Yuan, and Xin- glong Wu

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Zero-shot text-to-image generation, 2021

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Observation 2f0ad994-4c3b-4c7b-b3fc-85c91c3b8db3 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2, 2019.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Gener- ating diverse high-fidelity images with vq-vae-2, 2019

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This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering High-resolution image syn- thesis with latent diffusion models, 2022

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This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

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This paper cites Very deep convo- lutional networks for large-scale image recognition, 2015.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Very deep convo- lutional networks for large-scale image recognition, 2015

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This paper cites Denois- ing diffusion implicit models, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Denois- ing diffusion implicit models, 2022

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Observation 0166f496-7245-444f-8c0a-8ffb99af42e6 · outbound

This paper cites Autoregressive model beats diffusion: Llama for scalable image generation, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Autoregressive model beats diffusion: Llama for scalable image generation, 2024

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Observation 36d8027c-fd4a-457f-9522-fdf6c082d0fd · outbound

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Chameleon: Mixed-modal early-fusion foundation models, 2025

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Observation fa427dc8-4abe-491e-a3b2-3416948cbd8a · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Visual autoregressive modeling: Scalable image generation via next-scale prediction

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Metamorph: Multimodal un- derstanding and generation via instruction tuning, 2024

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Observation 92fb6bd9-cb7e-448e-855c-a1393f7928bc · outbound

This paper cites Anytext: Multilingual visual text gener- ation and editing, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Anytext: Multilingual visual text gener- ation and editing, 2024

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Observation a6a09a0c-23c3-4423-80d2-8aceb6f8b2ed · outbound

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Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Neural discrete representation learning,

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Observation e82f315e-bcd7-4a6c-ab21-0a44bd71a4c9 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Gomez, Lukasz Kaiser, and Illia Polosukhin

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Observation 5427aecc-b855-4453-87ba-638a9fdc1d6f · outbound

This paper cites Beyond words: Advancing long-text im- age generation via multimodal autoregressive models, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Beyond words: Advancing long-text im- age generation via multimodal autoregressive models, 2025

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Observation 15d66f9c-b175-46c2-8864-5addc3c100e0 · outbound

This paper cites Textat- las5m: A large-scale dataset for dense text image generation,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Textat- las5m: A large-scale dataset for dense text image generation,

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This paper cites Emu3: Next-token prediction is all you need, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Emu3: Next-token prediction is all you need, 2024

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This paper cites Edge-enhanced feature distillation network for efficient super-resolution, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Edge-enhanced feature distillation network for efficient super-resolution, 2022

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Observation 21c76b93-28b0-44a6-affb-6acc73e886b4 · outbound

This paper cites Autoregressive visual tracking.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Autoregressive visual tracking

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Observation cb9f19e8-a502-42bc-9b21-fe551c561085 · outbound

This paper cites Janus: Decoupling visual encoding for unified multimodal understanding and genera- tion, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Janus: Decoupling visual encoding for unified multimodal understanding and genera- tion, 2024

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Observation d516eb55-b8c8-493d-a498-6d8e3310826a · outbound

This paper cites Qwen-image technical report,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Qwen-image technical report,

Reference 56

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Observation c8c1e1de-1f72-430c-a84b-da1b93988149 · outbound

This paper cites Vila-u: a unified founda- tion model integrating visual understanding and generation,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Vila-u: a unified founda- tion model integrating visual understanding and generation,

Reference 57

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Observation 0ef21c97-a801-42c5-9cf6-f5d435d29a09 · outbound

This paper cites StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:15.737555Z

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Observation 80e5f71a-4ede-4141-9176-b9c730a719f8 · outbound

This paper cites Sana: Efficient high-resolution im- age synthesis with linear diffusion transformers, 2024.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Sana: Efficient high-resolution im- age synthesis with linear diffusion transformers, 2024

Reference 59

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Observation eec97dd5-5875-48f1-b50d-52b3a6adc65a · outbound

This paper cites Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer,.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer,

Reference 60

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Observation 2a736dac-29f0-4080-8ea5-e5447ba6a2d2 · outbound

This paper cites Lumina-mgpt 2.0: Stand-alone autoregressive image model- ing, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Lumina-mgpt 2.0: Stand-alone autoregressive image model- ing, 2025

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation 9f8d8736-e5be-4b23-b158-2679537e9488 · outbound

This paper cites Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation, 2025.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation, 2025

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation dd42602b-959f-418f-bc50-a9f7b670458c · outbound

This paper cites Vector-quantized image modeling with improved vqgan, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Vector-quantized image modeling with improved vqgan, 2022

Reference 63

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Observation dc66bf53-9459-4617-8aca-e92dbae2054f · outbound

This paper cites Randomized autoregressive visual generation.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Randomized autoregressive visual generation

Reference 64

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Observation de16643e-ba72-45d9-b6ef-8b741acce30a · outbound

This paper cites Regularized vector quantization for tokenized im- age synthesis.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Regularized vector quantization for tokenized im- age synthesis

Reference 65

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Observation 2ed570ed-756f-4582-943b-ae8a3e520d0e · outbound

This paper cites Distilling Inter-Class Distance for Semantic Segmentation.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Distilling Inter-Class Distance for Semantic Segmentation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:15.742625Z

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Observation 2ba6c6e8-6e18-40c4-8a09-e6ee8b5f7eef · outbound

This paper cites Diff-tracker: text-to-image diffusion models are un- supervised trackers.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Diff-tracker: text-to-image diffusion models are un- supervised trackers

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation e3e8d907-4dd0-4534-a6d4-ecd02cfe841c · outbound

This paper cites Performing defocus deblurring by model- ing its formation process.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Performing defocus deblurring by model- ing its formation process

Reference 68

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Observation 72a2da84-6fb1-44c5-a8af-939fa9a77904 · outbound

This paper cites Visual prompting for one-shot controllable video editing without inversion.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Visual prompting for one-shot controllable video editing without inversion

Reference 69

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Observation 0a6ee3f8-de01-4f11-acbb-0e2468d2a9c3 · outbound

This paper cites Movq: Modulating quantized vectors for high- fidelity image generation.Advances in Neural Information Processing Systems, 35:23412–23425, 2022.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Movq: Modulating quantized vectors for high- fidelity image generation.Advances in Neural Information Processing Systems, 35:23412–23425, 2022

Reference 70

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Observation 6d03612f-66d4-4738-b8dc-0847f903e505 · outbound

This paper cites Shared-ID Hint Codebook.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Shared-ID Hint Codebook

Reference 71

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Observation 82b5e3b0-ed2e-476f-bf13-d519e0182b13 · outbound

This paper cites Implementation details.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Implementation details

Reference 72

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Observation ab512638-2452-4f52-b79f-a143fe3fa574 · outbound

This paper cites Model Architecture.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Model Architecture

Reference 73

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Observation 6e49e047-323d-41dd-b474-99ecc8a0f6ce · outbound

This paper cites Parameters and Latency.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Parameters and Latency

Reference 74

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Observation abc1ed11-b4ce-4994-a6e5-8c7a7f3a099b · outbound

This paper cites Tokenizer Reconstruction Limit.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Tokenizer Reconstruction Limit

Reference 75

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Observation c2df0dd5-30d6-4d08-bcfb-9c8eef6dae22 · outbound

This paper cites Model Architecture Hint CodebookWe instantiate a paired codebook that mir- rors the size and index space of the original tokenizer code- book.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Model Architecture Hint CodebookWe instantiate a paired codebook that mir- rors the size and index space of the original tokenizer code- book

Reference 76

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Observation eeb35c84-a469-490e-9f25-85958291fecb · outbound

This paper cites Parameters and Latency Tab.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Parameters and Latency Tab

Reference 77

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Observation 2590dfab-48a3-42ce-893b-3208a35013d8 · outbound

This paper cites Tokenizer Reconstruction Limit We verify that the base tokenizer exhibits inherent recon- struction limitations even when provided perfect ground- truth input.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Tokenizer Reconstruction Limit We verify that the base tokenizer exhibits inherent recon- struction limitations even when provided perfect ground- truth input

Reference 78

Resolution: malformed identifier; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation 87fa9167-65b7-4e48-9a2d-a5f090de1182 · outbound

This paper cites Tokenizer-Level Failures When characters are extremely small or visually ambigu- ous, the tokenizer may assign incorrect visual tokens, lead- ing to unrecoverable errors.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Tokenizer-Level Failures When characters are extremely small or visually ambigu- ous, the tokenizer may assign incorrect visual tokens, lead- ing to unrecoverable errors

Reference 79

Resolution: malformed identifier; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation 5ef6ee9f-2db6-487b-9393-8416d77bb1d2 · outbound

This paper cites Training Stability and Convergence Fig.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Training Stability and Convergence Fig

Reference 80

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Observation 5f79b6ba-8353-4157-8e96-9a35684fc0a8 · outbound

This paper cites Why Shared-ID Preserves Compatibility The Shared-ID mechanism ensures that the token ID distri- bution remains identical to the base tokenizer.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Why Shared-ID Preserves Compatibility The Shared-ID mechanism ensures that the token ID distri- bution remains identical to the base tokenizer

Reference 81

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Observation ca134d90-e047-4119-a979-2af1d325e7b1 · outbound

This paper cites Tokenizer Results on Additional Datasets We also conduct evaluations on StyledTextVisionBlend and TextScenesHQ of TextAtlasEval [50, 66–69] to assess ro- bustness.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Tokenizer Results on Additional Datasets We also conduct evaluations on StyledTextVisionBlend and TextScenesHQ of TextAtlasEval [50, 66–69] to assess ro- bustness

Reference 82

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Observation c8cd67b9-6b62-4f39-9ec3-5103aa087381 · outbound

This paper cites Tokenizer Reconstruction Results We evaluate the reconstruction quality of different im- age tokenizers, including LlamaGen-VQ and Chameleon- VQ [43], across multiple datasets.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Tokenizer Reconstruction Results We evaluate the reconstruction quality of different im- age tokenizers, including LlamaGen-VQ and Chameleon- VQ [43], across multiple datasets

Reference 83

Resolution: malformed identifier; no resolver link, observed 2026-06-28T15:39:15.744954Z

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Observation 81bfd86a-3778-4720-b47b-d67f8702d628 · outbound

This paper cites an unresolved cited work.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Unresolved cited work

Reference 84

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