Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:24:57.065394Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 5 inbound Pith citation observations for arXiv:2412.05796.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:24:57.065394Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:42:57.247608Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:59:58.163269Z
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 42c9133f-f271-4560-af48-b1ef596c2d38 · outbound
Language-Guided Image Tokenization for Generation Modular learning in neural networks
Reference 1
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Observation 65fad209-d5f9-45e6-aae5-67f25f2ce176 · outbound
Language-Guided Image Tokenization for Generation All are worth words: a ViT backbone for score-based diffusion mod- els
Reference 2
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Observation 9076f8a2-027a-4742-ab30-4a08bd5ae1a7 · outbound
Language-Guided Image Tokenization for Generation Large scale gan training for high fidelity natural image synthesis
Reference 3
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Observation d30d2c1f-569d-49b8-9d5d-38186877e27b · outbound
Language-Guided Image Tokenization for Generation MaskGIT: Masked generative image transformer
Reference 4
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Language-Guided Image Tokenization for Generation Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis
Reference 5
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Observation bcbc9597-bd0c-4d26-a62b-2c2e86409bc6 · outbound
Language-Guided Image Tokenization for Generation Generative pre- training from pixels
Reference 6
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Observation 261b3f3f-5fa2-4ffc-bc64-d17ce338a759 · outbound
Language-Guided Image Tokenization for Generation ImageNet: A large-scale hierarchical image database
Reference 7
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Language-Guided Image Tokenization for Generation BERT: Pre-training of deep bidirectional trans- formers for language understanding
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Language-Guided Image Tokenization for Generation Diffusion models beat gans on image synthesis
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Observation b397e5ce-8429-41c6-a527-31b289a29cdc · outbound
Language-Guided Image Tokenization for Generation An image is worth 16x16 words: Transformers for image recognition at scale
Reference 10
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Observation aff36dc5-8aa3-4220-a28c-2a96623d5006 · outbound
Language-Guided Image Tokenization for Generation Taming transformers for high-resolution image synthesis
Reference 11
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Observation 51828b27-bbeb-4bcb-b886-ecd0ce255ee6 · outbound
Language-Guided Image Tokenization for Generation Masked diffusion transformer is a strong image synthesizer
Reference 12
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Language-Guided Image Tokenization for Generation Photorealistic video generation with diffusion models
Reference 13
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Language-Guided Image Tokenization for Generation Diffit: Diffusion vision transformers for im- age generation
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Language-Guided Image Tokenization for Generation Deep residual learning for image recognition
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Observation cb52684a-972b-4b3d-882c-b086f5ad58ab · outbound
Language-Guided Image Tokenization for Generation CLIPScore: A reference-free evaluation metric for image captioning
Reference 16
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Language-Guided Image Tokenization for Generation GANs trained by a two time-scale update rule converge to a local nash equi- librium
Reference 17
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Observation 2b8b81e8-968d-40e1-a8f6-147131fb63b7 · outbound
Language-Guided Image Tokenization for Generation sim- ple diffusion: End-to-end diffusion for high resolution im- ages
Reference 18
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Observation 99e0d9ab-a19f-41bb-8711-fb936b4a1d29 · outbound
Language-Guided Image Tokenization for Generation A style-based generator architecture for generative adversarial networks
Reference 19
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Observation 34222711-2e1e-4791-af0e-d906ff3af672 · outbound
Language-Guided Image Tokenization for Generation Guiding a diffusion model with a bad version of itself
Reference 20
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Observation 5dcfc8f5-7a00-4982-93fa-fd52b48b9b95 · outbound
Language-Guided Image Tokenization for Generation Analyzing and improving the training dynamics of diffusion models
Reference 21
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Observation 7e9b5d00-57d1-476f-be80-46aa5e7f96ba · outbound
Language-Guided Image Tokenization for Generation Understanding diffusion objectives as the ELBO with simple data augmentation
Reference 22
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Language-Guided Image Tokenization for Generation Auto-encoding varia- tional bayes
Reference 23
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Language-Guided Image Tokenization for Generation Improved precision and recall met- ric for assessing generative models
Reference 24
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Observation 239e80ea-d2ad-4044-a1af-fce5c61711a9 · outbound
Language-Guided Image Tokenization for Generation Applying guidance in a limited interval improves sample and distribution quality in diffusion models
Reference 25
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Observation fb795d8f-8c67-4c8b-8f58-9b526ae2b6f1 · outbound
Language-Guided Image Tokenization for Generation Autoregressive image generation using residual quantization
Reference 26
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Observation 53fe989c-dbde-45fc-9b9d-0fe432773ca8 · outbound
Language-Guided Image Tokenization for Generation Self- conditioned image generation via generating representations
Reference 27
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Observation dc8207bf-2989-4f67-b947-cd6a05a0df9e · outbound
Language-Guided Image Tokenization for Generation Autoregressive Image Generation without Vector Quantization
Reference 28
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Observation 5911106d-75a7-4ae4-beb6-fde536741c96 · outbound
Language-Guided Image Tokenization for Generation Lg-vq: Language-guided codebook learning
Reference 29
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Observation 9ba68c1e-155c-42b8-8f83-3f28fe631692 · outbound
Language-Guided Image Tokenization for Generation Language quan- tized autoencoders: Towards unsupervised text-image align- ment
Reference 30
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Observation 59b9071f-f014-4c93-901b-4541faf4714c · outbound
Language-Guided Image Tokenization for Generation SiT: Explor- ing flow and diffusion-based generative models with scalable interpolant transformers
Reference 31
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Observation 9f4148fc-e360-4663-95fa-1b98eb05188c · outbound
Language-Guided Image Tokenization for Generation Scalable diffusion models with transformers
Reference 32
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Language-Guided Image Tokenization for Generation W ¨urstchen: An efficient architecture for large-scale text-to-image diffusion models
Reference 33
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Observation 6da20cc8-e8b4-4920-80b7-9d8a0eb70712 · outbound
Language-Guided Image Tokenization for Generation Improving language understanding by generative pre-training
Reference 34
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Observation 78ba58a8-301d-44ec-b798-48693298cec9 · outbound
Language-Guided Image Tokenization for Generation Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 35
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Reference 37
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Language-Guided Image Tokenization for Generation U- Net: Convolutional networks for biomedical image segmen- tation
Reference 38
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Language-Guided Image Tokenization for Generation Improved techniques for training gans
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Reference 40
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Reference 41
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Language-Guided Image Tokenization for Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 42
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Language-Guided Image Tokenization for Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction
Reference 43
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Reference 45
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Language-Guided Image Tokenization for Generation SPAE: Semantic pyramid autoencoder for multimodal generation with frozen llms
Reference 48
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Reference 49
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Language-Guided Image Tokenization for Generation Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
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Language-Guided Image Tokenization for Generation The unreasonable effectiveness of deep features as a perceptual metric
Reference 52
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Reference 53
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UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Language-Guided Image Tokenization for Generation
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DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer Language-Guided Image Tokenization for Generation
Reference 73
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