InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning | Paper Citation Record

Observation d15cbd7b-c4eb-4929-acc8-f3e374f16fb9 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:02.917527Z

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Observation d2c6d8f3-4748-4950-940e-60d27a1e7afd · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:02.914700Z

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Observation f49e3c2d-f3b2-41d6-85e6-2cc0fdb44ec5 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:02.916908Z

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Observation e8d72ffd-a59a-4c99-a667-148e9f066f75 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 4

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Observation 2efbf8a5-55c5-446a-8ffb-303883f2ebf4 · outbound

This paper cites World Models.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning World Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:02.911671Z

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Observation 3520b587-a9e9-4f67-800a-215826e6ea14 · outbound

This paper cites Kwai Keye-VL 1.5 Technical Report.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Kwai Keye-VL 1.5 Technical Report

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:02.945834Z

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Observation 4e02f87c-5822-439f-a655-8b0104798374 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Unresolved cited work

Reference 7

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Observation a1bc11ee-87d1-4e01-8a90-1ca3840e8f7b · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Unresolved cited work

Reference 8

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Observation 04d415ec-2abf-47fd-b308-b3a8ed199088 · outbound

This paper cites OpenAI GPT-5 System Card.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning OpenAI GPT-5 System Card

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.187254Z

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Observation 6386566b-b47c-4ad6-b4f5-088ff4416594 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.189549Z

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Observation 1d188e8e-622f-4eaf-9e52-54c304c7be7d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 11

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Observation 763142f9-c533-48d9-8897-df2db1b26bee · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.177534Z

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Observation 5aaf3362-7b6d-479e-b45c-56a8414758a6 · outbound

This paper cites Advances in neural information processing systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in neural information processing systems , volume=

Reference 13

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Observation b4b281c9-5d41-46e6-8fbd-94bf7ba8e314 · outbound

This paper cites Advances in neural information processing systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in neural information processing systems , volume=

Reference 14

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Observation 0b5494e0-da3d-49d0-a7a3-7ace9e33d6ff · outbound

This paper cites The eleventh international conference on learning representations , year=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning The eleventh international conference on learning representations , year=

Reference 15

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Observation 3fb389e0-15c5-415f-acea-10b39932c277 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 4766ea8c-42cd-4fb6-b276-b26db55b585d · outbound

This paper cites European Conference on Computer Vision , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning European Conference on Computer Vision , pages=

Reference 17

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Observation 758d6d7b-162d-4725-896d-1b330ecb53be · outbound

This paper cites European Conference on Computer Vision , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning European Conference on Computer Vision , pages=

Reference 18

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Observation 3079e832-34b4-4472-b8aa-f3743e308d3c · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.180078Z

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Observation caea3a30-b8d1-4ff7-858f-ba8a3a6f3ef2 · outbound

This paper cites Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=

Reference 20

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Observation fb811108-c52b-4430-ab08-62953bd0d25a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 21

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Observation 0a049c9d-5eb0-47ba-9ba8-955ebf952fb2 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 39bd2809-6fa6-447c-a519-6f6e7fb985f1 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.172762Z

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Observation fbd84177-dcc5-43bb-8649-df61f4558246 · outbound

This paper cites arxiv , year=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning arxiv , year=

Reference 24

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Observation 6f94c4bd-f0f9-4aad-99bc-854e50711c10 · outbound

This paper cites FineVision: Open Data Is All You Need.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning FineVision: Open Data Is All You Need

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.179788Z

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Observation 067fdded-660c-4c46-95ad-f2f2b80fb3ae · outbound

This paper cites InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:48:03.182059Z

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Observation d7fdceb9-7612-44e9-a1e4-bb1f62bcff62 · outbound

This paper cites Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.182357Z

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Observation 3b93fb68-def3-433a-81bc-c2ecb7273df7 · outbound

This paper cites MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.184975Z

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Observation 5d1d5be9-58c9-4e64-852d-8549a0d27deb · outbound

This paper cites Qwen3.5: Accelerating Productivity with Native Multimodal Agents , url =.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Qwen3.5: Accelerating Productivity with Native Multimodal Agents , url =

Reference 29

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Observation dc3672fd-bfff-41b5-a7b6-7a949378ff18 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Unresolved cited work

Reference 30

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Observation c1a9e372-b008-4451-819c-f737c0d9c06d · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning GLM-5: from Vibe Coding to Agentic Engineering

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.153084Z

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Observation 35862d1e-06e6-47f7-8d1c-63d4307702c9 · outbound

This paper cites Huang, A.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Huang, A

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:03.156179Z

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Observation 30e83669-fd66-44ad-8758-9ce7dca9ae74 · outbound

This paper cites an unresolved cited work.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Unresolved cited work

Reference 33

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Observation 095b7fd2-d509-4917-8359-0b9271782241 · outbound

This paper cites 2026 , eprint=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning 2026 , eprint=

Reference 34

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Observation 6e45bfa6-8a70-4f3a-941a-baab0324fb70 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.147721Z

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Observation b23a701e-4e54-4303-b3bc-3886b49a8bc0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.153299Z

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Observation 3e276bbf-6ebc-4ead-83e0-f496a9d6499a · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.158827Z

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Observation d6c40ece-16c7-404e-881e-385796a8be7b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation b884b8ad-6975-4862-a1ff-cb73bf9daf4a · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Kimi K2.5: Visual Agentic Intelligence

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:48:03.135272Z

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Observation fcf9511a-254f-449a-92d0-9631d348c4be · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in Neural Information Processing Systems , volume=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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This paper cites Advances in Neural Information Processing Systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in Neural Information Processing Systems , volume=

Reference 41

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 42

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Observation 9ca5ab0a-376c-43b9-9541-07646a7c21a7 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning 2025 , eprint=

Reference 43

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Observation 851f6889-d71d-422a-af83-29af343c2709 · outbound

This paper cites Step3-vl-10b technical report.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Step3-vl-10b technical report

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:03.138148Z

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Observation deebf6cf-ae76-464a-b721-a0c36a43571a · outbound

This paper cites Qwen2.5-VL Technical Report.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Qwen2.5-VL Technical Report

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:48:03.142809Z

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Observation 64c512f6-3988-429e-a4cf-077e1340ae1e · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.161113Z

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Observation 54c2117f-fa73-41f8-a638-c48fdf0b39e8 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:48:03.191919Z

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Observation 36156d0c-4d33-48af-87f9-17346d110183 · outbound

This paper cites International conference on machine learning , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning International conference on machine learning , pages=

Reference 48

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Observation 7a9c2c7b-3ea1-424f-be20-76922501b865 · outbound

This paper cites Advances in neural information processing systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in neural information processing systems , volume=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 7b9dc48b-114c-48e4-9079-8d726a9eec72 · outbound

This paper cites Dsi-bench: A benchmark for dynamic spatial intelligence.arXiv preprint arXiv:2510.18873.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Dsi-bench: A benchmark for dynamic spatial intelligence.arXiv preprint arXiv:2510.18873

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:48:03.205242Z

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Observation bffcd23b-6c9e-4041-b333-1e5c27b8c6f9 · outbound

This paper cites MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.160875Z

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Observation a343a160-20c0-4ee9-a5ac-5d074027ab7a · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 901738ca-96b5-4233-b361-92f8af6c1835 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in Neural Information Processing Systems , volume=

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 5a404da5-84a8-43b0-9bd6-65e01f1f573e · outbound

This paper cites International Conference on Learning Representations , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning International Conference on Learning Representations , volume=

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation ccd22cc7-6830-4dd6-904a-38d1716991d5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in Neural Information Processing Systems , volume=

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation ead62b95-4bfa-439e-9736-5edcc714551e · outbound

This paper cites International Conference on Learning Representations , volume=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning International Conference on Learning Representations , volume=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation c748f440-9e64-4282-bcca-6afff8f876e1 · outbound

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Reference 58

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Reference 59

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Observation ce157bbb-ce03-4484-b12e-e3315a6afc37 · outbound

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Reference 60

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Observation 40458348-34ce-4498-8d7f-9e5d31b50f4b · outbound

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Reference 61

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Observation 9008e37c-b381-4886-91a4-39d4d05a29f9 · outbound

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Reference 62

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Reference 63

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Observation 553d6468-3e84-4ac4-8d72-63e0f1f53020 · outbound

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Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.196700Z

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Observation b2186011-4fae-425a-9efa-910710d4bf73 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 65

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Observation 43aa0c1c-645d-44ec-902f-d248e76a9180 · outbound

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Reference 66

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Advances in Neural Information Processing Systems , volume=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 2c338775-2a18-4995-bcee-08a20d98e88a · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Neurocomputing , volume=

Reference 68

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Observation 1412aba6-5475-408f-9e70-158db8acbd48 · outbound

This paper cites CoRR , year=.

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Reference 69

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Reference 70

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Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Reference 73

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Reference 74

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Observation a9e4387f-ba8b-4e27-9052-eb84d5f43e5c · outbound

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Reference 75

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Observation aca501ea-fc5e-48a3-9942-7a3e92d290a5 · outbound

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Reference 76

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Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 96660d4c-a67d-4273-8969-4162b0a93d01 · outbound

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Reference 79

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 80

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Observation 90208d52-4020-4672-974c-a79e7f817295 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 81

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Reference 82

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Reference 83

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Reference 84

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Observation d5615fd5-1c14-400d-b15d-07952292b2cf · outbound

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Reference 85

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Reference 86

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Reference 87

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Reference 88

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Reference 89

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Reference 90

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Observation d5d9fe82-50d6-4e2c-9c75-dc811ebdbf4d · outbound

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Reference 91

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Observation e94d2c01-5a30-492b-90be-87e876950a5c · outbound

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Reference 92

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Observation 85f5df00-8a9c-4013-951d-2f2df62f2a0e · outbound

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Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:02.981512Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f87dbc2e-fb79-42a8-ab84-f078ea458654 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Mastering Diverse Domains through World Models

Reference 94

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.095524Z

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Observation e4ff952d-310c-4ede-bd07-77229975e78c · outbound

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Reference 95

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Observation 164d0dc0-e567-42a8-8963-4a8e141c1486 · outbound

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Reference 96

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Observation 897c40b9-1f1a-40d6-8a8f-cf06f9ff5cfe · outbound

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Reference 97

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Unavailable: canonical work link unavailable.

Observation 1af5d675-7834-48da-a95a-42ee83a1a70c · outbound

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Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.122373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b951adc4-3f46-4663-bb76-a4a131a3b5c8 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 99

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Unavailable: canonical work link unavailable.

Observation d9cf8775-a783-4640-839a-95d477bfba82 · outbound

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning International Conference on Learning Representations , volume=

Reference 100

Resolution: unresolved; no resolver link, observed 2026-06-27T09:48:27.652901Z

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Pith citing papers