dRAE: Representation Autoencoder with Hyper-Spherical Codes | Paper Citation Record

Observation 72bf257f-8ada-4bd7-83de-c3450fadfd7e · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 1

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Observation 50dc31ba-b440-4d7e-adc8-5b9357df8a85 · outbound

This paper cites Meissonic: Revitalizing masked generative transformers for efficient high-resolution text-to-image synthesis.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Meissonic: Revitalizing masked generative transformers for efficient high-resolution text-to-image synthesis

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.098210Z

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Observation 796413fa-0048-41e3-847d-a31c82ebbf3f · outbound

This paper cites Qwen2.5-VL Technical Report, February 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Qwen2.5-VL Technical Report, February 2025

Reference 3

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Observation 0e4c9435-011e-4e94-b0a6-7e7c17226330 · outbound

This paper cites Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density.arXiv preprint arXiv:2510.05949, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density.arXiv preprint arXiv:2510.05949, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.244497Z

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Observation 0043aba3-5082-40ab-8fa1-694909897593 · outbound

This paper cites InfoNCE Induces Gaussian Distribution.

dRAE: Representation Autoencoder with Hyper-Spherical Codes InfoNCE Induces Gaussian Distribution

Reference 5

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Observation f49310f3-ee3d-46cd-b82d-60ce645c2029 · outbound

This paper cites Megalith-10m.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Megalith-10m

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.384301Z

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Observation 833fbfd2-382a-4031-86bd-449d8006b886 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Emerging properties in self-supervised vision transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.434866Z

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Observation f31fe43a-4116-4c5a-8763-1cb98aa7af07 · outbound

This paper cites Freeman, Michael Rubinstein, Yuanzhen Li, and Dilip Krishnan.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Freeman, Michael Rubinstein, Yuanzhen Li, and Dilip Krishnan

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.502007Z

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Observation ac1779dd-68d1-4959-ad23-7d1213d66793 · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.590317Z

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Observation e49b6bf8-ac3d-45c7-bcc0-0e194de79b4e · outbound

This paper cites Scaling instruction-finetuned language models.J.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Scaling instruction-finetuned language models.J

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.665920Z

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Observation efbe321c-397f-4e6c-be9c-6df2d563946b · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Imagenet: A large-scale hierarchical image database

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.764197Z

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Observation f2d2cc71-ff75-45a1-9612-bd29748382d8 · outbound

This paper cites Kelix Technical Report.arXiv preprint arXiv:2602.09843, 2026.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Kelix Technical Report.arXiv preprint arXiv:2602.09843, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.846813Z

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Observation 54c027b1-8c87-49b0-9555-d3d62d050a9c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

dRAE: Representation Autoencoder with Hyper-Spherical Codes An image is worth 16x16 words: Transformers for image recognition at scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:46.909203Z

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Observation 06e34fe6-c61f-4a9f-94db-bfec986598dc · outbound

This paper cites Vqrae: Representation quantization autoencoders for multimodal understanding, generation and reconstruction.arXiv preprint arXiv:2511.23386, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Vqrae: Representation quantization autoencoders for multimodal understanding, generation and reconstruction.arXiv preprint arXiv:2511.23386, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.005245Z

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Observation 16bdff0f-202d-428a-8e5c-2bc2cb472ee2 · outbound

This paper cites Taming Transformers for High-Resolution Image Synthesis.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Taming Transformers for High-Resolution Image Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.088915Z

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Observation a4cee546-96fa-4534-8855-5789e29fc519 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

dRAE: Representation Autoencoder with Hyper-Spherical Codes MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.184952Z

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Observation a494cc63-de5d-4464-b164-b720c0c27936 · outbound

This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

dRAE: Representation Autoencoder with Hyper-Spherical Codes X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.269252Z

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Observation 18ba2b33-1291-4f1a-8dbd-c3ce84df7847 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.NeurIPS, 36:52132–52152, 2023.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Geneval: An object-focused framework for evaluating text-to-image alignment.NeurIPS, 36:52132–52152, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.356835Z

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Observation 06e61899-6925-4113-a9e1-dfd30d2ed4e2 · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.428321Z

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Observation a6c5d76e-25ce-44b0-a8c9-57dc59658ba0 · outbound

This paper cites Girshick.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Girshick

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.484865Z

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Observation 4978c1df-8801-48ec-b477-8dda4bb9464d · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.562345Z

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Observation 9e46bccd-b596-474c-84da-07e9af7e48d0 · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.665498Z

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Observation 8822651d-34ad-43cb-91bf-3700dfe0ad0a · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.748604Z

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Observation a4f8965d-2c0a-4f5e-b6a1-7eaf93c7bce4 · outbound

This paper cites Kingma and Max Welling.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Kingma and Max Welling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.826727Z

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Observation 10a79e83-3b2a-443a-b4a1-62c47888a52c · outbound

This paper cites Number 89.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Number 89

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.900782Z

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Observation a6e22b5e-5577-4361-925f-f0503ad2b801 · outbound

This paper cites The double-ellipsoid geometry of CLIP.

dRAE: Representation Autoencoder with Hyper-Spherical Codes The double-ellipsoid geometry of CLIP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:47.955745Z

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Observation 9bbe2a9c-b775-4192-9c82-e8c1ac3768b3 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

dRAE: Representation Autoencoder with Hyper-Spherical Codes LLaVA-OneVision: Easy Visual Task Transfer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.037036Z

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Observation 416902bd-e505-4350-9fcc-c440dc3ce7b6 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

dRAE: Representation Autoencoder with Hyper-Spherical Codes SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.117869Z

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Observation d6153872-ae9d-4c1d-bfab-cb476ebd9668 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Evaluating Object Hallucination in Large Vision-Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.193559Z

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Observation 6527d101-63ed-4104-a6c3-74ef08f71b72 · outbound

This paper cites TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.280451Z

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Observation 973d2d08-cf59-4a2d-80ab-c8b27e4dd93d · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes Evaluating text-to-visual generation with image-to-text generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.352016Z

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Observation 06265fe3-0fe8-4968-830f-714ea46666b7 · outbound

This paper cites Improved baselines with visual instruction tuning.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Improved baselines with visual instruction tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.429054Z

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Observation 4fa85846-5d63-4d62-bb32-419f2e72508c · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In ECCV, pages 216–233.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Mmbench: Is your multi-modal model an all-around player? In ECCV, pages 216–233

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.502285Z

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Observation 206446c8-3406-4c48-9a0c-561452edaf95 · outbound

This paper cites Unitok: A unified tokenizer for visual generation and understanding.arXiv preprint arXiv:2502.20321, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Unitok: A unified tokenizer for visual generation and understanding.arXiv preprint arXiv:2502.20321, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.568172Z

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Observation 61dff341-24f7-4cd9-b67d-efa5b20f370c · outbound

This paper cites ReDDiT: Rehashing Noise for Discrete Visual Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes ReDDiT: Rehashing Noise for Discrete Visual Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.671160Z

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Observation bf5d329e-5fe9-49a9-9f8f-6e463610c50a · outbound

This paper cites Finite scalar quantization: VQ-V AE made simple.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Finite scalar quantization: VQ-V AE made simple

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.706706Z

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Observation cd2d656b-f3e7-4beb-9c89-6443a21cad22 · outbound

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dRAE: Representation Autoencoder with Hyper-Spherical Codes Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.722593Z

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Observation 1a91faca-aa83-4134-83d6-299f862e5392 · outbound

This paper cites Scalable diffusion models with transformers.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Scalable diffusion models with transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.802956Z

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Observation 9c854ca6-81d8-4e93-bc08-8a569e233f91 · outbound

This paper cites Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.872910Z

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Observation 624d129d-fe10-48d1-9af6-86fdb63e7242 · outbound

This paper cites Tokenflow: Unified image tokenizer for multimodal understanding and generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Tokenflow: Unified image tokenizer for multimodal understanding and generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.954296Z

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Observation ae61d59f-7dfc-468b-b1c7-2b400dcfe70d · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Qwen3.5: Towards native multimodal agents, February 2026

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.005103Z

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Observation c8035c2f-f1c1-42b5-bbbf-4fe8db41a06d · outbound

This paper cites Learning transferable visual models from natural language supervision.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Learning transferable visual models from natural language supervision

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.091471Z

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Observation b7a2f977-c871-4b10-955c-1a2c173bcb5e · outbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes High-resolution image synthesis with latent diffusion models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.248221Z

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Observation 2bd87e35-0886-4a72-9807-57685561b1db · outbound

This paper cites Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.428876Z

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Observation 7c31d90d-a780-43de-99b6-178e0b93a205 · outbound

This paper cites Improved techniques for training gans.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Improved techniques for training gans

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.580438Z

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Observation 8acbf257-b51b-49fe-903b-fffef47608a8 · outbound

This paper cites Scalable Image Tokenization with Index Backpropagation Quantization.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Scalable Image Tokenization with Index Backpropagation Quantization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.675083Z

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Observation 0843becb-7ab7-453e-ac05-cf9ec3de79f2 · outbound

This paper cites Towards vqa models that can read.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Towards vqa models that can read

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.766930Z

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Observation 2b2f8818-4815-4f41-8fa1-a140d526f45c · outbound

This paper cites What matters for Representation Alignment: Global Information or Spatial Structure?arXiv preprint arXiv:2512.10794, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes What matters for Representation Alignment: Global Information or Spatial Structure?arXiv preprint arXiv:2512.10794, 2025

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:49.849828Z

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Observation 4fdc2796-2052-4800-9ecf-466474d6a7de · outbound

This paper cites Improved Baselines with Representation Autoencoders.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Improved Baselines with Representation Autoencoders

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.035845Z

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Observation 055139cb-474d-4159-a6f8-e7a304e38e7a · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.178943Z

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Observation 1ffc50f7-e6f3-4d31-b563-22976b88a162 · outbound

This paper cites Unilip: Adapting clip for unified multimodal understanding, generation and editing.arXiv preprint arXiv:2507.23278, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Unilip: Adapting clip for unified multimodal understanding, generation and editing.arXiv preprint arXiv:2507.23278, 2025

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.436783Z

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Observation 7d2b9ce4-8b7f-4353-974c-ba298f9fb78a · outbound

This paper cites LongCat-Next: Lexicalizing Modalities as Discrete Tokens.arXiv preprint arXiv:2603.27538, 2026.

dRAE: Representation Autoencoder with Hyper-Spherical Codes LongCat-Next: Lexicalizing Modalities as Discrete Tokens.arXiv preprint arXiv:2603.27538, 2026

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.532762Z

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Observation 74aa4b1d-7dc0-40d0-a02c-63246551198e · outbound

This paper cites Zettlemoyer, Koustuv Sinha, Yann LeCun, and Saining Xie.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Zettlemoyer, Koustuv Sinha, Yann LeCun, and Saining Xie

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.716716Z

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Observation 959bfa66-56a0-49fc-9699-a8e2b1a939ce · outbound

This paper cites Scaling text-to-image diffusion transformers with representation autoencoders.arXiv preprint arXiv:2601.16208, 2026.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Scaling text-to-image diffusion transformers with representation autoencoders.arXiv preprint arXiv:2601.16208, 2026

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:50.912012Z

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Observation 50979421-3fc0-4c14-820e-73ffec485bec · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

dRAE: Representation Autoencoder with Hyper-Spherical Codes SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:51.120447Z

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Observation 3e3e6d1b-4557-4cdd-9117-307a03e711c2 · outbound

This paper cites Neural discrete representation learning.NeurIPS, 30, 2017.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Neural discrete representation learning.NeurIPS, 30, 2017

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:51.295217Z

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Observation 0916a318-703c-4f3f-8dc3-f6e8462b0cac · outbound

This paper cites Cambridge Series in Statistical and Probabilistic Mathematics.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Cambridge Series in Statistical and Probabilistic Mathematics

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:51.501713Z

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Observation 8d84ffb4-f14d-4a5d-a79d-9c8d2faf811f · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Understanding contrastive representation learning through alignment and uniformity on the hypersphere

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:51.740715Z

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Observation b199c5fd-609f-490d-93d7-a54484d3769d · outbound

This paper cites Representation Forcing for Bottleneck-Free Unified Multimodal Models.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Representation Forcing for Bottleneck-Free Unified Multimodal Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:51.915796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f314bad-e582-40f8-bd88-f01600fb1665 · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.097638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc6055e-16cb-4698-b9ad-1aabde12399e · outbound

This paper cites VILA-U: a unified foundation model integrating visual understanding and generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes VILA-U: a unified foundation model integrating visual understanding and generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.271462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f295e0-5ea2-49db-91a5-ddbb2ff321ce · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.488229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650affc0-9c50-47dc-a183-40bcbc5c7248 · outbound

This paper cites Muse-vl: Modeling unified vlm through semantic discrete encoding.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Muse-vl: Modeling unified vlm through semantic discrete encoding

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.733255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9d651c-d54b-49a7-839d-088b2b1dafbd · outbound

This paper cites Towards scalable pre-training of visual tokenizers for generation.arXiv preprint arXiv:2512.13687, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Towards scalable pre-training of visual tokenizers for generation.arXiv preprint arXiv:2512.13687, 2025

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.876744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30cc9d7-6bbb-4fc8-8133-f8f9d9e5fe7e · outbound

This paper cites Reconstruction vs.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Reconstruction vs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:52.992939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9870d400-c33e-4aa4-9102-eee85c43cac1 · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.082144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28755041-d2aa-4a28-9139-f2e51da0852c · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

dRAE: Representation Autoencoder with Hyper-Spherical Codes The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.205403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e1c1f7-242c-4a65-a72f-14f286ee88e0 · outbound

This paper cites Spherical leech quantization for visual tokenization and generation.CoRR, abs/2512.14697, 2025.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Spherical leech quantization for visual tokenization and generation.CoRR, abs/2512.14697, 2025

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.328418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff2e8d0-fbac-4880-9063-09d70c87d728 · outbound

This paper cites QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation.

dRAE: Representation Autoencoder with Hyper-Spherical Codes QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.491983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc30e6e-7294-4a43-894b-a51e2c1c803f · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Diffusion Transformers with Representation Autoencoders

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.599400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af899a3b-41a7-40e3-b720-f5f85663ad0f · outbound

This paper cites Addressing representation collapse in vector quantized models with one linear layer.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Addressing representation collapse in vector quantized models with one linear layer

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.702281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecfc4c53-f56b-409c-8ce3-f29c6a15559a · outbound

This paper cites Advancing aesthetic image generation via composition transfer.Int.

dRAE: Representation Autoencoder with Hyper-Spherical Codes Advancing aesthetic image generation via composition transfer.Int

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.814169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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