TimeThink: Reasoning with Time for Video LLMs | Paper Citation Record

Observation b0dcba33-f2bf-48ba-bea9-952e6e4a7531 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE international conference on computer vision

Reference 1

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This paper cites MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens.

TimeThink: Reasoning with Time for Video LLMs MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens

Reference 2

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Observation 6821ab03-c4f5-4e6d-ab98-9f64dca0eb7e · outbound

This paper cites Qwen3-VL Technical Report.

TimeThink: Reasoning with Time for Video LLMs Qwen3-VL Technical Report

Reference 3

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This paper cites Qwen2.5-VL Technical Report.

TimeThink: Reasoning with Time for Video LLMs Qwen2.5-VL Technical Report

Reference 4

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This paper cites com / Breakthrough / PySceneDetect, software available from https://www.scenedetect.com.

TimeThink: Reasoning with Time for Video LLMs com / Breakthrough / PySceneDetect, software available from https://www.scenedetect.com

Reference 5

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This paper cites CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding.

TimeThink: Reasoning with Time for Video LLMs CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding

Reference 6

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This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

TimeThink: Reasoning with Time for Video LLMs ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 7

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This paper cites TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability.

TimeThink: Reasoning with Time for Video LLMs TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability

Reference 8

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This paper cites Advances in Neural Information Processing Systems36, 72842–72866 (2023).

TimeThink: Reasoning with Time for Video LLMs Advances in Neural Information Processing Systems36, 72842–72866 (2023)

Reference 9

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This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

TimeThink: Reasoning with Time for Video LLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

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TimeThink: Reasoning with Time for Video LLMs Unresolved cited work

Reference 11

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This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

TimeThink: Reasoning with Time for Video LLMs VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 12

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TimeThink: Reasoning with Time for Video LLMs Unresolved cited work

Reference 13

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This paper cites Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos.

TimeThink: Reasoning with Time for Video LLMs Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos

Reference 14

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This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

TimeThink: Reasoning with Time for Video LLMs Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 15

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This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

TimeThink: Reasoning with Time for Video LLMs Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 16

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

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This paper cites In: Proceedings of the IEEE international conference on computer vision.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE international conference on computer vision

Reference 18

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

TimeThink: Reasoning with Time for Video LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 19

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This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

TimeThink: Reasoning with Time for Video LLMs Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 20

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This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

TimeThink: Reasoning with Time for Video LLMs MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 21

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 22

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This paper cites GPT-4o System Card.

TimeThink: Reasoning with Time for Video LLMs GPT-4o System Card

Reference 23

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TimeThink: Reasoning with Time for Video LLMs OpenAI o1 System Card

Reference 24

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This paper cites In: Findings of the Association for Computational Lin- guistics: ACL 2025.

TimeThink: Reasoning with Time for Video LLMs In: Findings of the Association for Computational Lin- guistics: ACL 2025

Reference 25

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This paper cites In: Proceedings of the IEEE international conference on computer vision.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE international conference on computer vision

Reference 26

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TimeThink: Reasoning with Time for Video LLMs Unresolved cited work

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This paper cites arXiv preprint arXiv:2503.18422 (2025).

TimeThink: Reasoning with Time for Video LLMs arXiv preprint arXiv:2503.18422 (2025)

Reference 28

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This paper cites MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.

TimeThink: Reasoning with Time for Video LLMs MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Reference 29

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 30

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This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

TimeThink: Reasoning with Time for Video LLMs VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 31

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TimeThink: Reasoning with Time for Video LLMs Unresolved cited work

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This paper cites arXiv preprint arXiv:2509.18056 (2025).

TimeThink: Reasoning with Time for Video LLMs arXiv preprint arXiv:2509.18056 (2025)

Reference 33

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TimeThink: Reasoning with Time for Video LLMs Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 34

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 35

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This paper cites Advances in neural information processing systems36(2024).

TimeThink: Reasoning with Time for Video LLMs Advances in neural information processing systems36(2024)

Reference 36

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TimeThink: Reasoning with Time for Video LLMs arXiv preprint arXiv:2503.13444 (2025)

Reference 37

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TimeThink: Reasoning with Time for Video LLMs Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 38

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This paper cites Advances in Neural Information Processing Systems36, 46212–46244 (2023).

TimeThink: Reasoning with Time for Video LLMs Advances in Neural Information Processing Systems36, 46212–46244 (2023)

Reference 39

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TimeThink: Reasoning with Time for Video LLMs GPT-4 Technical Report

Reference 40

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This paper cites arXiv preprint arXiv:2504.01407 (2025).

TimeThink: Reasoning with Time for Video LLMs arXiv preprint arXiv:2504.01407 (2025)

Reference 41

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This paper cites Advances in Neural Information Processing Systems37, 119336–119360 (2024).

TimeThink: Reasoning with Time for Video LLMs Advances in Neural Information Processing Systems37, 119336–119360 (2024)

Reference 42

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TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 43

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TimeThink: Reasoning with Time for Video LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 44

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TimeThink: Reasoning with Time for Video LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 45

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TimeThink: Reasoning with Time for Video LLMs Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

Reference 46

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TimeThink: Reasoning with Time for Video LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 47

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This paper cites arXiv preprint arXiv:2505.12434 (2025).

TimeThink: Reasoning with Time for Video LLMs arXiv preprint arXiv:2505.12434 (2025)

Reference 48

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This paper cites Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding.

TimeThink: Reasoning with Time for Video LLMs Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding

Reference 49

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TimeThink: Reasoning with Time for Video LLMs arXiv e-prints pp

Reference 50

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TimeThink: Reasoning with Time for Video LLMs HawkEye: Training Video-Text LLMs for Grounding Text in Videos

Reference 51

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TimeThink: Reasoning with Time for Video LLMs Advances in Neural Information Pro- cessing Systems37, 28828–28857 (2024)

Reference 52

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TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 53

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TimeThink: Reasoning with Time for Video LLMs In: ACM Multimedia (2017)

Reference 54

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TimeThink: Reasoning with Time for Video LLMs PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 55

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TimeThink: Reasoning with Time for Video LLMs 5: Visual test-time scaling to reinforce multimodal reasoning by iterative perception

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TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 57

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This paper cites Qwen3 Technical Report.

TimeThink: Reasoning with Time for Video LLMs Qwen3 Technical Report

Reference 58

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This paper cites Advances in Neural Information Processing Systems35, 124–141 (2022).

TimeThink: Reasoning with Time for Video LLMs Advances in Neural Information Processing Systems35, 124–141 (2022)

Reference 59

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TimeThink: Reasoning with Time for Video LLMs In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference

Reference 60

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Observation cfa677f9-9df0-448e-8108-7469cf311057 · outbound

This paper cites Self-Chained Image-Language Model for Video Localization and Question Answering.

TimeThink: Reasoning with Time for Video LLMs Self-Chained Image-Language Model for Video Localization and Question Answering

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e4ad09-4d36-4da0-ad66-6069a1cc4d9e · outbound

This paper cites In: Pro- ceedings of the AAAI Conference on Artificial Intelligence.

TimeThink: Reasoning with Time for Video LLMs In: Pro- ceedings of the AAAI Conference on Artificial Intelligence

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afabe92a-7099-4497-8412-bbb68d8928f7 · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d82b80-c7ac-41c8-8d1e-595ae626c567 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

TimeThink: Reasoning with Time for Video LLMs LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45bcc92d-2958-4caf-8b20-c0c8fdd6483b · outbound

This paper cites Long Context Transfer from Language to Vision.

TimeThink: Reasoning with Time for Video LLMs Long Context Transfer from Language to Vision

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ebe636-87b2-49ec-b6c1-6596d7f7e86d · outbound

This paper cites Explore the Limits of Omni-modal Pretraining at Scale.

TimeThink: Reasoning with Time for Video LLMs Explore the Limits of Omni-modal Pretraining at Scale

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014cd6ee-9388-4dbb-be71-368a055e3de2 · outbound

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

TimeThink: Reasoning with Time for Video LLMs LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7ecc62-0bfb-455a-a6d9-1758b1aa5f1b · outbound

This paper cites R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning.

TimeThink: Reasoning with Time for Video LLMs R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dc174c-f71e-4bd1-8005-18fc8e3fb135 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9004f848-7155-4191-971d-67e58e64d9fb · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

TimeThink: Reasoning with Time for Video LLMs In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a40d73-e73e-4ec1-91a7-5af400973ab1 · outbound

This paper cites Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs.

TimeThink: Reasoning with Time for Video LLMs Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efc80d8-eda1-4bcc-aa19-d73f6b947959 · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

TimeThink: Reasoning with Time for Video LLMs MLVU: Benchmarking Multi-task Long Video Understanding

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c3a175d-debe-4f8c-a402-1820abfb7862 · outbound

This paper cites an unresolved cited work.

TimeThink: Reasoning with Time for Video LLMs Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76abb8de-4823-4e62-bf1e-bf9fcd348a37 · outbound

This paper cites Use the Full Video Context for background, but base your scorestrictlyon the Candidate Video Clip.

TimeThink: Reasoning with Time for Video LLMs Use the Full Video Context for background, but base your scorestrictlyon the Candidate Video Clip

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a185d780-41fe-4e04-a3ab-8b5507d3f3c0 · outbound

This paper cites Clear, unambiguous, and complete evidence.

TimeThink: Reasoning with Time for Video LLMs Clear, unambiguous, and complete evidence

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5b7a88-2085-4eb2-aa70-4a34ad9178dd · outbound

This paper cites initial setting.

TimeThink: Reasoning with Time for Video LLMs initial setting

Reference 76

Resolution: malformed identifier; no resolver link, observed 2026-07-11T08:59:46.244502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

Pith citing papers