Semantic Generative Tuning for Unified Multimodal Models | Paper Citation Record

Observation 5069ae84-35d2-4dff-81c7-641275fd760d · outbound

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

Semantic Generative Tuning for Unified Multimodal Models Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 1

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Observation 91aa59ca-9b41-4098-a5ba-59ba06ebf9e5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Semantic Generative Tuning for Unified Multimodal Models Qwen2.5-VL Technical Report

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.363633Z

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Semantic Generative Tuning for Unified Multimodal Models Unresolved cited work

Reference 3

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Semantic Generative Tuning for Unified Multimodal Models Unresolved cited work

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.294989Z

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Semantic Generative Tuning for Unified Multimodal Models Unresolved cited work

Reference 5

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Observation 4eef1f10-0a3b-45b9-b84c-133230ebea62 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

Semantic Generative Tuning for Unified Multimodal Models Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.297856Z

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Observation 1ef9940f-ad48-4702-9956-cea6d8752e70 · outbound

This paper cites Deconstructing Denoising Diffusion Models for Self-Supervised Learning.

Semantic Generative Tuning for Unified Multimodal Models Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.285093Z

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Observation 9fb063e7-fa70-4bb8-9149-d8de6808c76c · outbound

This paper cites NeurIPS36, 49250–49267 (2023) 2.

Semantic Generative Tuning for Unified Multimodal Models NeurIPS36, 49250–49267 (2023) 2

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.273323Z

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Observation 00debac7-6a8f-423c-89fe-07c3077de651 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Semantic Generative Tuning for Unified Multimodal Models Emerging Properties in Unified Multimodal Pretraining

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.287454Z

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Observation 50c4e7d4-b29d-4958-ae7a-df2105fd6590 · outbound

This paper cites In: ICLR (2024),https://openreview.net/forum? id=y01KGvd9Bw2.

Semantic Generative Tuning for Unified Multimodal Models In: ICLR (2024),https://openreview.net/forum? id=y01KGvd9Bw2

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.263481Z

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Observation 93a8e812-31d8-42ea-a74e-ea7618f38ad6 · outbound

This paper cites arXiv preprint arXiv:2511.23386 (2025) 4, 7, 9.

Semantic Generative Tuning for Unified Multimodal Models arXiv preprint arXiv:2511.23386 (2025) 4, 7, 9

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.361216Z

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Observation fbcbc4b1-fa1a-46cf-b12b-53630a89187c · outbound

This paper cites In: ACMMM.

Semantic Generative Tuning for Unified Multimodal Models In: ACMMM

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.264936Z

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Observation 1fe06d48-a184-4ccb-a1be-4b42f43d4af2 · outbound

This paper cites In: ICML (2024) 1, 4.

Semantic Generative Tuning for Unified Multimodal Models In: ICML (2024) 1, 4

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.275464Z

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Observation aabe6c3f-09a7-4701-9aeb-44f0e2593404 · outbound

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

Semantic Generative Tuning for Unified Multimodal Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.356370Z

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Observation c5943552-c23f-4eb4-971b-40db9737fc5e · outbound

This paper cites In: ECCV.

Semantic Generative Tuning for Unified Multimodal Models In: ECCV

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.265114Z

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Observation 41f4ffe9-b6b8-4ff8-819f-eb9b5000c5c0 · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

Semantic Generative Tuning for Unified Multimodal Models BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.371150Z

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Observation 6be2cc4f-d226-4388-bd58-8cfb49e136e9 · outbound

This paper cites Diffusion Models and Representation Learning: A Survey.

Semantic Generative Tuning for Unified Multimodal Models Diffusion Models and Representation Learning: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.368536Z

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Observation 0c937d14-e652-4430-8229-1401fa97dec9 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

Semantic Generative Tuning for Unified Multimodal Models SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.298289Z

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Observation 2f9793e8-a9b8-4c72-bee4-7e3e634250c5 · outbound

This paper cites NeurIPS36, 52132–52152 (2023) 3, 6, 9, 14.

Semantic Generative Tuning for Unified Multimodal Models NeurIPS36, 52132–52152 (2023) 3, 6, 9, 14

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.302618Z

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Observation e4e1299a-a22d-4efe-b8d6-df67e330df29 · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.250657Z

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Observation 2655f109-2f6b-46f6-8851-49aede8689ba · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.252655Z

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Observation 0b1ee9d5-d44f-4a7d-ae15-25675dfab6fc · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.266566Z

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Observation fd3e675b-41bc-41f8-ae7e-891f95ba89cd · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.261565Z

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Observation 5654b223-4bc1-4bd7-8e81-9d7232d8ee6b · outbound

This paper cites arXiv:2402.03161 (2024) 2.

Semantic Generative Tuning for Unified Multimodal Models arXiv:2402.03161 (2024) 2

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.300676Z

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Observation 11739eda-40de-472a-8834-49515769321f · outbound

This paper cites Unified language-vision pretraining in llm with dynamic discrete visual tokenization.

Semantic Generative Tuning for Unified Multimodal Models Unified language-vision pretraining in llm with dynamic discrete visual tokenization

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.303308Z

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Observation 8c6ca92d-2d4c-4982-8055-a94ba4c5d3c2 · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.279771Z

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Observation 3d1056ca-2311-4c08-8f49-2f37ead29be4 · outbound

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

Semantic Generative Tuning for Unified Multimodal Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.292872Z

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Observation 919769fd-70e1-43cf-b41b-101e1a032f0c · outbound

This paper cites In: EMNLP.

Semantic Generative Tuning for Unified Multimodal Models In: EMNLP

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.300286Z

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Observation c5a50c4c-7201-4940-9b01-6ab492e60428 · outbound

This paper cites Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback.

Semantic Generative Tuning for Unified Multimodal Models Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.303188Z

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Observation 9b00b86f-3823-48db-91b6-57e305284d78 · outbound

This paper cites arXiv:2512.19680 (2025) 5.

Semantic Generative Tuning for Unified Multimodal Models arXiv:2512.19680 (2025) 5

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.314100Z

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Observation 2839ba80-d757-4bf9-bea9-83025e038f43 · outbound

This paper cites UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.

Semantic Generative Tuning for Unified Multimodal Models UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.349052Z

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Observation eca460a0-1964-4681-968a-b355346cdfb5 · outbound

This paper cites Transactions of the Association for Computational Linguistics (2023) 6, 9, 17.

Semantic Generative Tuning for Unified Multimodal Models Transactions of the Association for Computational Linguistics (2023) 6, 9, 17

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.284407Z

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Observation 8b85ce76-4af7-42eb-8858-080038a20a40 · outbound

This paper cites In: NeurIPS (2023) 1.

Semantic Generative Tuning for Unified Multimodal Models In: NeurIPS (2023) 1

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.281513Z

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Observation cfd9a9a7-8c76-495d-8023-99e220f2c01a · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

Semantic Generative Tuning for Unified Multimodal Models Step1X-Edit: A Practical Framework for General Image Editing

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.279776Z

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Observation 91889e4e-ecbe-4b5e-9df0-b70ee26b972a · outbound

This paper cites an unresolved cited work.

Semantic Generative Tuning for Unified Multimodal Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-07-08T04:14:30.271914Z

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Observation d771c448-949f-449d-bbb7-be3e0adf706f · outbound

This paper cites Science China Information Sciences67(12), 220102 (2024) 6, 17.

Semantic Generative Tuning for Unified Multimodal Models Science China Information Sciences67(12), 220102 (2024) 6, 17

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.270090Z

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Observation b5181804-620d-4b7b-a402-dd4c8fec86f9 · outbound

This paper cites Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.

Semantic Generative Tuning for Unified Multimodal Models Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.290588Z

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Observation ba93729d-fc8a-434e-bd9a-28425fa19229 · outbound

This paper cites In: ICLR (2024) 6, 9, 17.

Semantic Generative Tuning for Unified Multimodal Models In: ICLR (2024) 6, 9, 17

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.279430Z

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Observation a17107f4-4c18-4c00-b75d-ae39e883c220 · outbound

This paper cites In: NeurIPS (2022) 6, 17.

Semantic Generative Tuning for Unified Multimodal Models In: NeurIPS (2022) 6, 17

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.277392Z

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Observation 1545c2a8-dd4f-4398-8250-d4b01290cf60 · outbound

This paper cites DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception.

Semantic Generative Tuning for Unified Multimodal Models DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.271961Z

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Observation ef58fd2b-aa4f-4fb8-9fdb-218fdb60d15e · outbound

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

Semantic Generative Tuning for Unified Multimodal Models Unitok: A unified tokenizer for visual generation and understanding.arXiv preprint arXiv:2502.20321, 2025a

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.274664Z

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Observation 2811b71f-04cf-4dce-903a-486beb3ba0cb · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.239596Z

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Observation 42b56341-4574-4b54-a5ee-59f32cf6cfd0 · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.268126Z

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Observation 89db8fce-8641-448d-b60c-d4b3cde6d150 · outbound

This paper cites In: WACV.

Semantic Generative Tuning for Unified Multimodal Models In: WACV

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.232102Z

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Observation 18951bd3-bbf1-4574-bac6-89c2e71c7feb · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

Semantic Generative Tuning for Unified Multimodal Models WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.266110Z

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Observation 30c633d1-3a2e-45fe-b414-7ebcad8ff710 · outbound

This paper cites Transfer between Modalities with MetaQueries.

Semantic Generative Tuning for Unified Multimodal Models Transfer between Modalities with MetaQueries

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.277120Z

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Observation 5daf2b32-b558-496c-8b53-bd81d9bdc28e · outbound

This paper cites In: ECCV.

Semantic Generative Tuning for Unified Multimodal Models In: ECCV

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.256144Z

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Observation 3dcad568-6cbc-45ae-ba83-ae83dd0f460c · outbound

This paper cites In: CVPR (2022) 14.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR (2022) 14

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.252462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a64ca134-4288-40a2-9b15-810d901ff791 · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.303767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e554ff05-2944-404f-b193-242c8dc4740e · outbound

This paper cites LMFusion: Adapting Pretrained Language Models for Multimodal Generation.

Semantic Generative Tuning for Unified Multimodal Models LMFusion: Adapting Pretrained Language Models for Multimodal Generation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.282413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5df93c4-7775-4fc3-96df-d1766ddd1863 · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.299134Z

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Observation c307a630-d72c-4e80-84f3-a5d883a7147a · outbound

This paper cites Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation.

Semantic Generative Tuning for Unified Multimodal Models Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.355652Z

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Observation 0261830c-42d7-494b-90e0-5a0aeca40ffb · outbound

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

Semantic Generative Tuning for Unified Multimodal Models Unilip: Adapting clip for unified multimodal understanding, generation and editing

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.360536Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ad11093-71ac-4cc7-9e69-9ec7a9d0c31d · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Semantic Generative Tuning for Unified Multimodal Models Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.366165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82e477aa-c3f3-4ae1-8705-567a68ddeaa0 · outbound

This paper cites NeurIPS37, 84839–84865 (2024) 1.

Semantic Generative Tuning for Unified Multimodal Models NeurIPS37, 84839–84865 (2024) 1

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.285295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ef342fd-00f5-4d19-91bd-4ac4e6573c01 · outbound

This paper cites NeurIPS 36, 48382–48402 (2023) 4.

Semantic Generative Tuning for Unified Multimodal Models NeurIPS 36, 48382–48402 (2023) 4

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.296756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cbfe9079-fe0d-4752-83ae-72b4278ae101 · outbound

This paper cites NeurIPs37, 87310–87356 (2024) 3, 6, 9, 11, 17.

Semantic Generative Tuning for Unified Multimodal Models NeurIPs37, 87310–87356 (2024) 3, 6, 9, 11, 17

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.292504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 332531c5-633b-4628-936e-42514fec5c9d · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Semantic Generative Tuning for Unified Multimodal Models MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.351343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c3d41c8-b3ec-4d8c-b412-697f22fc8266 · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.290669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb0388fb-fd3c-4570-b15b-345d8c0f86fc · outbound

This paper cites Reconstructive Visual Instruction Tuning.

Semantic Generative Tuning for Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.342775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76a3f3d9-c181-4765-9b82-cd61480e4c65 · outbound

This paper cites Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation.

Semantic Generative Tuning for Unified Multimodal Models Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.339365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a27550d-7865-4f7b-ba42-294aebb97ed5 · outbound

This paper cites Diffusion Feedback Helps CLIP See Better.

Semantic Generative Tuning for Unified Multimodal Models Diffusion Feedback Helps CLIP See Better

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.334765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6db027a5-7b2d-4d44-8a1d-acdb3f2d4181 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Semantic Generative Tuning for Unified Multimodal Models Emu3: Next-Token Prediction is All You Need

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.341727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e16c4fa-fdc6-40ab-9284-7fb115693fed · outbound

This paper cites In: ICML.

Semantic Generative Tuning for Unified Multimodal Models In: ICML

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.295346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1b55d7b-7316-44e3-8f0f-ad044b2949b3 · outbound

This paper cites arXiv:2510.22946 (2025) 3.

Semantic Generative Tuning for Unified Multimodal Models arXiv:2510.22946 (2025) 3

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.344146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e38b4d08-ce74-4295-9a42-f782bd6c3086 · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.301526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6996a4a6-69bc-43af-8a25-558fcbb8b5c6 · outbound

This paper cites In: ECCV.

Semantic Generative Tuning for Unified Multimodal Models In: ECCV

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.289230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9f590d8-3066-4f3f-8eb1-2c565f935d8e · outbound

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

Semantic Generative Tuning for Unified Multimodal Models Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:35:00.331203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f5fa638-0c5d-423d-9908-11978ccb5b5f · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

Semantic Generative Tuning for Unified Multimodal Models OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.328081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a6ca79c-15e4-496a-bd83-0a18458ad585 · outbound

This paper cites Representation entanglement for generation: Training diffusion transformers is much easier than you think.

Semantic Generative Tuning for Unified Multimodal Models Representation entanglement for generation: Training diffusion transformers is much easier than you think

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.322082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f178c0a-3fa9-4ffb-b464-d98cfe592b52 · outbound

This paper cites IJCV (2025) 3.

Semantic Generative Tuning for Unified Multimodal Models IJCV (2025) 3

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.298028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a318c7ae-ef0e-480b-9093-0fd3fadac828 · outbound

This paper cites OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation.

Semantic Generative Tuning for Unified Multimodal Models OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.345303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 905b2310-02e7-442c-a011-1f3afbc44737 · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.305889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63c989ec-88ac-4c96-a3bc-3557f29a6015 · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

Semantic Generative Tuning for Unified Multimodal Models VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.358106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81569916-f0de-4b9e-8010-4a5dfc93a542 · outbound

This paper cites an unresolved cited work.

Semantic Generative Tuning for Unified Multimodal Models Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-07-08T04:14:30.277719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11442d7f-904d-45d4-b420-4be021c9bb37 · outbound

This paper cites Reconstruction Alignment Improves Unified Multimodal Models.

Semantic Generative Tuning for Unified Multimodal Models Reconstruction Alignment Improves Unified Multimodal Models

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.324906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3aba8f9c-2e70-4279-96b9-adf0d88927fe · outbound

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

Semantic Generative Tuning for Unified Multimodal Models Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 78

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.334115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eace8d0e-30cc-40a4-a234-345f7711d286 · outbound

This paper cites Show-o2: Improved Native Unified Multimodal Models.

Semantic Generative Tuning for Unified Multimodal Models Show-o2: Improved Native Unified Multimodal Models

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.346694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f267e0c-7643-432f-907c-d37217d57dac · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.283453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4db69def-9e93-4ef9-9ae6-279de0fcc139 · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.268417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64c7a105-3c96-4fc3-87cd-7290e11ba0ff · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Semantic Generative Tuning for Unified Multimodal Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 82

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.353982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbe24a51-eb74-4d76-8708-9f024ca66c49 · outbound

This paper cites arXiv:2509.18905 (2025) 6, 9, 17.

Semantic Generative Tuning for Unified Multimodal Models arXiv:2509.18905 (2025) 6, 9, 17

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.358770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7b1ceee-7580-4591-8ed1-ee6e72c5580b · outbound

This paper cites In: CVPR.

Semantic Generative Tuning for Unified Multimodal Models In: CVPR

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.269781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 141c38d5-11d8-45e6-acf5-626c0776179a · outbound

This paper cites In: ICCV.

Semantic Generative Tuning for Unified Multimodal Models In: ICCV

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:14:30.307437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69715a54-940a-4a56-bd7d-4de3a12c796a · outbound

This paper cites MLLMs are Deeply Affected by Modality Bias.

Semantic Generative Tuning for Unified Multimodal Models MLLMs are Deeply Affected by Modality Bias

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.347720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74b39d7d-3100-426d-b216-1338aeb053c0 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Semantic Generative Tuning for Unified Multimodal Models Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T18:35:00.365861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 061a9d94-8747-45e3-a2a1-d89cc9b3bf21 · outbound

This paper cites VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model.

Semantic Generative Tuning for Unified Multimodal Models VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.311433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers