MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities | Paper Citation Record

Observation b7af4607-798a-4f1a-a433-761485bddcb2 · outbound

This paper cites Onestory: Coherent multi-shot video generation with adaptive memory.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Onestory: Coherent multi-shot video generation with adaptive memory

Reference 1

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Observation e7da88ea-7b05-4343-bf8c-161a3853c390 · outbound

This paper cites VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward

Reference 2

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Observation fdb69622-c75c-475e-9456-fb61c02c6594 · outbound

This paper cites F., Mizrahi, D., Garjani, A., Gao, M., Griffiths, D., Hu, J., Dehghan, A., and Zamir, A.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities F., Mizrahi, D., Garjani, A., Gao, M., Griffiths, D., Hu, J., Dehghan, A., and Zamir, A

Reference 3

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Observation 9a449c5c-e315-458b-ba95-8405a411baad · outbound

This paper cites F., Amirloo, E., El-Nouby, A., Zamir, A., and Dehghan, A.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities F., Amirloo, E., El-Nouby, A., Zamir, A., and Dehghan, A

Reference 4

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Observation d78549ec-17c0-440f-b1b1-5a9dcc1d261e · outbound

This paper cites Qwen technical report.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Qwen technical report

Reference 5

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Observation a9dcbb7d-5890-435a-a94f-0d1725df9d7a · outbound

This paper cites an unresolved cited work.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Unresolved cited work

Reference 6

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Observation 46c8f8a8-a81a-4992-a0e0-2dccdd5ec62d · outbound

This paper cites an unresolved cited work.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Unresolved cited work

Reference 7

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Observation 57604e31-2c51-4fbb-8dab-01200429c1fd · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 8

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Observation b869179f-21cf-46ff-9b69-f8984b1ca880 · outbound

This paper cites Hunyuanimage 3.0 technical report.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Hunyuanimage 3.0 technical report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:43.569475Z

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Observation fd71cd17-de0f-481a-980b-a7686a66ae88 · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Blip3-o: A family of fully open unified multimodal models-architecture, training and dataset

Reference 10

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Observation 57bf5138-9d70-4549-90b1-e5aa2eeebae5 · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Janus-pro: Unified multimodal understanding and generation with data and model scaling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:43.805619Z

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Observation 97cc8852-456d-46ec-aa5e-f57a33517fb1 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:43.940046Z

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Observation a9538d68-2aab-468a-bb71-cd26887243eb · outbound

This paper cites Tts-var: A test-time scaling framework for visual auto-regressive generation.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Tts-var: A test-time scaling framework for visual auto-regressive generation

Reference 13

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Observation 484600dc-4e55-429e-b872-7efc03643c56 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Emerging Properties in Unified Multimodal Pretraining

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.183367Z

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Observation 044a9e8a-552b-4fad-bc18-b6031c72659d · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.293487Z

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Observation 0c381132-8b6d-4d64-8131-8c96a11d9f61 · outbound

This paper cites Eva-02: A visual representation for neon genesis.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Eva-02: A visual representation for neon genesis

Reference 16

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Observation 92f30247-3fd9-45c7-85b0-32791109a20a · outbound

This paper cites Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.546079Z

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Observation 4f3cf5b0-126f-4f7e-94ec-eda2d793df96 · outbound

This paper cites Image Generators are Generalist Vision Learners.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Image Generators are Generalist Vision Learners

Reference 18

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Observation ea97de85-c3c5-4b00-ae5c-ee1c4d4a60ea · outbound

This paper cites (1D) Ordered Tokens Enable Efficient Test-Time Search.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities (1D) Ordered Tokens Enable Efficient Test-Time Search

Reference 19

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Observation caa1b8b8-fe2f-4f42-b983-4e16982c3614 · outbound

This paper cites V., Joulin, A., and Misra, I.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities V., Joulin, A., and Misra, I

Reference 20

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Observation 8a946ee6-ce03-45a4-82a9-e233a074d4d6 · outbound

This paper cites A., Hu, V.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities A., Hu, V

Reference 21

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Observation ac2acb9a-f852-4aa6-aa30-1db3ad0e1c23 · outbound

This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis

Reference 22

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Observation e5c93c0c-38a5-4019-9c8a-35288b16bff7 · outbound

This paper cites Infgen: A resolution-agnostic paradigm for scalable image synthesis.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Infgen: A resolution-agnostic paradigm for scalable image synthesis

Reference 23

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Observation 1ab17dc3-94ce-4fac-aa6e-824330cb07eb · outbound

This paper cites Lotus: Diffusion-based visual foundation model for high-quality dense prediction.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Lotus: Diffusion-based visual foundation model for high-quality dense prediction

Reference 24

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Observation 8917cfc2-05c4-44a9-abfb-18fdbb7f99b6 · outbound

This paper cites P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., Hayes, A., Radford, A., et al.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., Hayes, A., Radford, A., et al

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.569312Z

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Observation 11d2c4f3-34ec-4af4-98bf-a12c513862d1 · outbound

This paper cites F., Yeo, T., Atanov, A., and Zamir, A.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities F., Yeo, T., Atanov, A., and Zamir, A

Reference 26

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Observation e63f2dc1-38e4-4f6c-b67c-4f3af3d3374c · outbound

This paper cites C., and Schindler, K.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities C., and Schindler, K

Reference 27

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Observation e7ff95fa-c581-4ef3-9356-3e37dbab68d8 · outbound

This paper cites Marigold: Affordable adaptation of diffusion-based image generators for image analysis.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Marigold: Affordable adaptation of diffusion-based image generators for image analysis

Reference 28

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Observation 44986c82-afe9-488e-9028-bbbc567b9340 · outbound

This paper cites C., Lo, W.-Y., Doll\'ar, P., and Girshick, R.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities C., Lo, W.-Y., Doll\'ar, P., and Girshick, R

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.580767Z

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Observation ce79e231-ea6a-453d-806b-d42d9c932483 · outbound

This paper cites H., Pham, T., Lee, S., Clark, C., Kembhavi, A., Mandt, S., Krishna, R., and Lu, J.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities H., Pham, T., Lee, S., Clark, C., Kembhavi, A., Mandt, S., Krishna, R., and Lu, J

Reference 30

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Observation 979015d4-c47f-4f5e-b32a-066f1f02aec0 · outbound

This paper cites Llava-onevision: Easy visual task transfer.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Llava-onevision: Easy visual task transfer

Reference 31

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Observation cc3256f6-9602-497b-9d6b-2310fe33d191 · outbound

This paper cites Human Motion Instruction Tuning.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Human Motion Instruction Tuning

Reference 32

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Observation 1bb69985-5ba9-4f44-9e9f-2f72bfe34b86 · outbound

This paper cites Multiple human motion understanding.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Multiple human motion understanding

Reference 33

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Observation f6112e8d-96e3-4ab2-912d-0c6945fc47b6 · outbound

This paper cites Exploring plain vision transformer backbones for object detection.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Exploring plain vision transformer backbones for object detection

Reference 34

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Observation 0ea61d52-01cf-4487-8107-678ab0f43331 · outbound

This paper cites Sphinx: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Sphinx: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models

Reference 35

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Observation 95db9159-1b90-4bf7-aff2-269d09e674bc · outbound

This paper cites T., Ben-Hamu, H., Nickel, M., and Le, M.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities T., Ben-Hamu, H., Nickel, M., and Le, M

Reference 36

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Observation 060d3eb6-92ab-4c06-8d76-2fa62e8d3cf3 · outbound

This paper cites an unresolved cited work.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Unresolved cited work

Reference 37

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Observation a8d033a5-548d-4048-8bc9-3b95b10626ff · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 38

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Observation 34e7b16e-aca6-4f35-9f56-7d7be3dce7a3 · outbound

This paper cites S., Yang, S., Wang, Y., Yang, J., and Cheng, M.-M.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities S., Yang, S., Wang, Y., Yang, J., and Cheng, M.-M

Reference 39

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Observation 8dd8132b-de87-422f-b50e-ab66fdc5afb5 · outbound

This paper cites Unified-io: A unified model for vision, language, and multi-modal tasks.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Unified-io: A unified model for vision, language, and multi-modal tasks

Reference 40

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Observation 469f901b-2d17-4e46-beeb-9986f0ad6037 · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.614565Z

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Observation cc13e216-2ea0-4b37-9789-03efe6ccf0b1 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 42

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Observation eb873ab9-d4f1-4d5f-a445-405f0ad7e565 · outbound

This paper cites Janusflow: Harmonizing autoregression and rectified flow for unified multimodal understanding and generation.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Janusflow: Harmonizing autoregression and rectified flow for unified multimodal understanding and generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.620666Z

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Observation c1533c3a-54da-4978-9379-c5a0999bf124 · outbound

This paper cites 4m: Massively multimodal masked modeling.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities 4m: Massively multimodal masked modeling

Reference 44

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Observation 9647dec3-8c43-4dfe-acd5-58ce86a33b38 · outbound

This paper cites C., Scalia, G., and Eraslan, G.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities C., Scalia, G., and Eraslan, G

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.626025Z

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Observation bee50578-0606-4328-b77e-05eb79acfaf9 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Dinov2: Learning robust visual features without supervision

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.629111Z

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Observation 0794a551-45f8-4606-a1f8-af2919677e0f · outbound

This paper cites Aion-1: Omnimodal foundation model for astronomical sciences.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Aion-1: Omnimodal foundation model for astronomical sciences

Reference 47

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Observation c9bbe1af-7a38-48ce-8694-0d21755a7e3a · outbound

This paper cites Kosmos-2: Grounding multimodal large language models to the world.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Kosmos-2: Grounding multimodal large language models to the world

Reference 48

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Observation c4b25431-7559-4683-93e9-3f3402e1d031 · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 49

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Observation e20b6ef7-64f0-4595-bb30-89d2b3923bdc · outbound

This paper cites F., and Zamir, A.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities F., and Zamir, A

Reference 50

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Observation b1647729-333d-4f06-a5b1-be01b9d3a2d3 · outbound

This paper cites M., Xing, E., Yang, M.-H., and Khan, F.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities M., Xing, E., Yang, M.-H., and Khan, F

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.642417Z

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Observation 880ba2f5-b222-4e83-acf9-aee1a6cc14e7 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Grounded sam: Assembling open-world models for diverse visual tasks

Reference 52

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Observation 1478dea4-1425-4e93-88d6-705cc436ecc5 · outbound

This paper cites Prom3e: Probabilistic masked multimodal embedding model for ecology.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Prom3e: Probabilistic masked multimodal embedding model for ecology

Reference 53

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Observation ac39a35a-4a55-422e-9216-ad3a863fd25e · outbound

This paper cites A General Framework for Inference-time Scaling and Steering of Diffusion Models.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities A General Framework for Inference-time Scaling and Steering of Diffusion Models

Reference 54

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Observation 2d7e7bd2-ad2d-4f4a-b135-a3568746643b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.653249Z

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Observation 9195b562-99db-4c78-a94f-fed84208ecac · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 56

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Observation 9698ebde-4dc9-42dd-ba28-bea7d9a92224 · outbound

This paper cites Chameleon: Mixed-modal early-fusion foundation models.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Chameleon: Mixed-modal early-fusion foundation models

Reference 57

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Observation 6ca3e55d-0779-448e-8486-4fe10a976446 · outbound

This paper cites M., Hauth, A., Millican, K., et al.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities M., Hauth, A., Millican, K., et al

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.662232Z

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Observation 29e518d6-f0d9-4c7c-bee8-09f1be1f2fc1 · outbound

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MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 59

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Observation fde2313f-77c4-4f3f-a550-f60b3721a6b9 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Llama 2: Open foundation and fine-tuned chat models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.667673Z

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Observation 2657e103-86f4-42af-aa21-92b1bed1d70d · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.670179Z

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Observation 8de3e3dd-05d3-426c-8048-2cad7032dd68 · outbound

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

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Emu3: Next-token prediction is all you need

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.673237Z

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Observation 26baf85d-08aa-4ae1-b2c4-84a14ef23af2 · outbound

This paper cites Janus: Decoupling visual encoding for unified multimodal understanding and generation.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Janus: Decoupling visual encoding for unified multimodal understanding and generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.675843Z

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Observation 923d5874-0203-4783-b7c6-ec6fb541cb08 · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Next-gpt: Any-to-any multimodal llm

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.678831Z

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Observation 0057a862-fe17-4014-aa9f-b6fbc922aaa5 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.682002Z

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Observation 1249a70b-02c1-44e4-89a5-113a54cdf00d · outbound

This paper cites J., Wang, W., Lin, K.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities J., Wang, W., Lin, K

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.685026Z

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Observation a8e2b309-34a5-40cc-aa63-50de98138b5f · outbound

This paper cites Depth anything v2.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Depth anything v2

Reference 67

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Observation c7270472-a27a-40fc-88d8-d1abc4abd4b7 · outbound

This paper cites Anygpt: Unified multimodal llm with discrete sequence modeling.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Anygpt: Unified multimodal llm with discrete sequence modeling

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.691254Z

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Observation 26cba2ae-6af0-431b-b1f6-cf3c4e82515b · outbound

This paper cites Inference-time scaling of diffusion models through classical search.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Inference-time scaling of diffusion models through classical search

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.693989Z

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Observation 7e75de20-d6fc-47f2-86bc-d4b90408546b · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.697581Z

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Observation 6d48867f-a489-449a-9428-abae43d5dd2e · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T01:07:44.700601Z

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