Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:07.986435Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.14405.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:07.986435Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency online" 'onlinestring :=
Reference 1
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency write newline
Reference 2
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 3
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 4
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
Reference 5
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Reference 6
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Gonzalez, Ion Stoica, and Eric P
Reference 7
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 8
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 9
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 10
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 11
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Mistral 7B
Reference 12
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VLind-Bench: Measuring Language Priors in Large Vision-Language Models
Reference 13
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 14
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 15
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Observation 57e744ff-fdfa-4159-8834-dc81b9212ad0 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency LLaVA-OneVision: Easy Visual Task Transfer
Reference 16
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Observation cf32c404-8e32-4da5-8a41-e18106c4adc5 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 17
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Observation c57fae77-c39f-40d0-8f30-e313b85d2ecc · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
Reference 18
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Observation a696b045-32ad-469a-9fc5-9f776a97dad2 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 21
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 23
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Observation bbb0e6fc-acc2-4c97-a118-ba97d60b405d · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 24
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency GPT-4 Technical Report
Reference 25
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 26
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 27
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift
Reference 28
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Manning, Stefano Ermon, and Chelsea Finn
Reference 29
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Reference 30
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Rawat, and Vibhav Vineet
Reference 31
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 32
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Observation 19f779e2-1fcb-4c54-a6a3-ca35a116b283 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Huang, Nan Xu, Sheng Zhang, Hoifung Poon, and Muhao Chen
Reference 33
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Observation e7f5db69-4f00-414c-9a36-7150710ed33c · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 34
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Observation 3c52d138-b091-46c0-9c95-fb2477568bff · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 35
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 36
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 37
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 38
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 39
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 40
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Reference 41
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Observation f9352db1-4671-427f-a780-866dcf0bbf3f · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Qwen2 Technical Report
Reference 42
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Reference 43
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Observation 822483ad-c491-4462-a0f7-b4ed2d52b0b6 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 44
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Observation ae67266a-381b-4eee-9b57-98b3e09190b1 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 45
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 46
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Observation dbfe1a26-8294-4331-9a55-ae68010581d7 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 47
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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
Reference 48
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Observation 5e671bc7-b5f4-4367-b2ca-fe33ff95adaf · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 49
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Observation 0a61802a-dae1-4657-aecc-75058d5aea90 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 50
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Observation b2ca8d3b-6a68-43d0-b1e0-fadff87bff03 · outbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency Unresolved cited work
Reference 51
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No inbound Pith citation observations are available.