Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T02:52:20.643070Z
Paper Citation Record · LEDGER
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 84 inbound Pith citation observations for arXiv:2501.12386.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:08.446932Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
37 of 37 outbound references displayed
- verified exact32
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 07d9e05a-eb3a-484f-b201-1502b89bf29a · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Cosmos World Foundation Model Platform for Physical AI
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.670876Z
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 4e2e81ef-2ec9-40a3-be2b-9b2916aabacf · outbound
This paper cites Qwen Technical Report.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Qwen Technical Report
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.675691Z
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 939ad889-be6d-4612-ac51-676f8947dfee · outbound
This paper cites One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.680766Z
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 879cafa7-3662-4c5c-a00f-474d3eb50d28 · outbound
This paper cites Token Merging: Your ViT But Faster.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Token Merging: Your ViT But Faster
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.685487Z
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 1e93dfae-f8d2-48cb-bd97-4d65717864ef · outbound
This paper cites InternLM2 Technical Report.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling InternLM2 Technical Report
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.689675Z
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 c04387ad-e5a2-4f71-b3a1-cb412a049b00 · outbound
This paper cites HourVideo: 1-Hour Video-Language Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling HourVideo: 1-Hour Video-Language Understanding
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.694510Z
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 be7b2f50-db56-46cf-a2b5-3f3ee2c0b42b · outbound
This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:20:22.000193Z
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 5e544394-3655-4db0-a292-74efbb8a418d · outbound
This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling USP: A Unified Sequence Parallelism Approach for Long Context Generative AI
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.705108Z
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 bcd3f53a-9953-4561-8386-c85bc699baec · outbound
This paper cites MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.710199Z
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 a1e3ce7b-6cf8-4833-9414-91be823de78e · outbound
This paper cites Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.714773Z
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 40ea47f5-5c90-42a4-879d-4c6e346af6a6 · outbound
This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.718503Z
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 11b0d50c-dfca-4844-9b5b-a3276475e058 · outbound
This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:52:20.722917Z
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 18c528c3-c6ae-451a-aef5-04f7daf09b2f · outbound
This paper cites The Kinetics Human Action Video Dataset.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling The Kinetics Human Action Video Dataset
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.727050Z
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 d67c6540-880e-4403-8880-9d79099455cb · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LLaVA-OneVision: Easy Visual Task Transfer
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.731060Z
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 f1b88b23-ddb9-408e-bb7e-bfcb08664a1d · outbound
This paper cites OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.735829Z
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 c17e7587-fead-4bb2-a55f-bc474b366077 · outbound
This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Ring Attention with Blockwise Transformers for Near-Infinite Context
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.740404Z
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 e17bb074-8708-42ef-85d6-ad5c89fc49cc · outbound
This paper cites VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.745049Z
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 3ed63893-240d-40cb-8740-2cf5cc93a0af · outbound
This paper cites GPT-4 Technical Report.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling GPT-4 Technical Report
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.749277Z
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 7757c5cc-869c-40b8-871e-e694fe99aeb6 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling SAM 2: Segment Anything in Images and Videos
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:52:20.752983Z
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 e8d91143-00b3-4879-899c-184ca49812c0 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:52:20.757255Z
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 74733113-350f-4079-852c-d6a93c738232 · outbound
This paper cites TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.762202Z
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 790a7fd1-3f3b-4abd-829e-7bf975876128 · outbound
This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:52:20.765897Z
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 8467a30b-0658-47f3-8e17-081184e9bdde · outbound
This paper cites Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.770114Z
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 dcaf2cd8-1f50-401c-83f5-de3f9366e583 · outbound
This paper cites Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.775068Z
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 2cd6e254-0fd9-4e7c-bce5-86945bd97a24 · outbound
This paper cites Longllava: Scaling multi-modal llms to 1000 images efficiently via hybrid architecture.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Longllava: Scaling multi-modal llms to 1000 images efficiently via hybrid architecture
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.779477Z
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 e8d8b3c2-c456-4eff-af15-513248c8a146 · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.783565Z
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 716f8125-2ca2-4693-9d43-eb94caa2de63 · outbound
This paper cites HawkEye: Training Video-Text LLMs for Grounding Text in Videos.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:52:20.788080Z
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 56b398d2-a2a2-4efb-9779-f18fdb255c2f · outbound
This paper cites LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:30:12.519784Z
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 d5166116-14a6-4c38-b05d-f5764bbb5c74 · outbound
This paper cites VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.796481Z
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 e2170d37-63ab-44c0-b67a-6e242c29aca4 · outbound
This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:51:25.572615Z
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 d9d4332a-5f1e-483f-a493-4b5634d2952e · outbound
This paper cites Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.806469Z
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 50d8304b-f818-4452-a6c0-04aa645e7471 · outbound
This paper cites Vript: A Video Is Worth Thousands of Words.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Vript: A Video Is Worth Thousands of Words
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.810354Z
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 9710c9e3-ac62-487f-8521-303ae1e425ac · outbound
This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:20:36.894768Z
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 64f6bba2-b9e5-4be4-a078-cbdb17883279 · outbound
This paper cites NExT-Chat: An LMM for Chat, Detection and Segmentation.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling NExT-Chat: An LMM for Chat, Detection and Segmentation
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.818808Z
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 957433df-c785-46cb-a36e-7d1aaf9c4f52 · outbound
This paper cites LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.823715Z
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 c4101e25-5707-4f19-9c40-cc2457a97e13 · outbound
This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling MLVU: Benchmarking Multi-task Long Video Understanding
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:52:20.827990Z
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 51649a7d-f4f2-4ec0-8e87-21456cbedbd9 · outbound
This paper cites Apollo: An Exploration of Video Understanding in Large Multimodal Models.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Apollo: An Exploration of Video Understanding in Large Multimodal Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.833571Z
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.
Pith citing papers
Observation a0ccc2c1-0ac2-406c-8c64-f23499a54bad · inbound
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 33c74869-a7ea-414b-91da-4bde70336a44 · inbound
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding? cites this paper.
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding? InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:41:08.446932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a97207d3-7a08-4b04-b7be-0cd06df75772 · inbound
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation cites this paper.
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:34:41.079838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ffb3ee0-50c0-4ea5-affe-48f2ee8e725d · inbound
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning cites this paper.
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:59.072257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b4f82a9-424b-4afe-922d-3d11b78ce6a3 · inbound
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design cites this paper.
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:01.009435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40cb993f-0961-4de2-82ad-085c8318420d · inbound
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:46:06.399421Z
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 0d7da37b-986e-4383-9fe7-4e56a55a6701 · inbound
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition cites this paper.
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:30.557505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f54c8e76-bdc0-480b-9fc8-a497a0ec08de · inbound
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval cites this paper.
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:45.104101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01a233a0-30b5-42cc-a9b7-5a273bf9102d · inbound
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought cites this paper.
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:09:13.309276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee4104bc-0d5b-416d-9007-440cd0f92730 · inbound
DisTime: Distribution-based Time Representation for Video Large Language Models cites this paper.
DisTime: Distribution-based Time Representation for Video Large Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:32:54.252300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1ad3c69-2093-45df-9890-bc1709f523ce · inbound
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics cites this paper.
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 c8498e34-385e-46d5-b571-f9cbbe09859c · inbound
Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency cites this paper.
Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:47.149960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e4c774c-c2f9-4a2b-8269-0bdcd2437833 · inbound
UNIC: Unified In-Context Video Editing cites this paper.
UNIC: Unified In-Context Video Editing InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:51:42.973201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cf9e3ab-02f8-44a7-a346-1c46941f6bbd · inbound
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs cites this paper.
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:27:05.618482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 580bc404-e098-47ea-8eca-2769ff68229a · inbound
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos cites this paper.
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:25:36.311280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc628e12-ea92-4ca2-8b7b-a2916806fa5f · inbound
Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation cites this paper.
Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:43:43.067246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61606932-3186-4d92-91fb-d4541afcc799 · inbound
CyberV: Cybernetics for Test-time Scaling in Video Understanding cites this paper.
CyberV: Cybernetics for Test-time Scaling in Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:26:47.266447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc595d87-8263-4001-ad95-c20fdf1fbb47 · inbound
Video-CoT: A Comprehensive Dataset for Spatiotemporal Understanding of Videos Based on Chain-of-Thought cites this paper.
Video-CoT: A Comprehensive Dataset for Spatiotemporal Understanding of Videos Based on Chain-of-Thought InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:05:51.389244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8c1bebf-3b71-4951-8ed2-20c1839bf3c5 · inbound
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:22:56.040389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdd91320-29dd-4a1d-9682-0486a7bc0404 · inbound
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:34:36.092629Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b26fa6d3-8e11-4c3e-9537-a920ae3bceae · inbound
NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization cites this paper.
NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:40.342191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e461aa4-bd38-4e8b-a4bb-e5313aa4cb95 · inbound
IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning cites this paper.
IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:36:29.583224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 537ae9d2-8b8b-4ee2-87fc-d2868ca37de7 · inbound
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth cites this paper.
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:15:43.265563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e018751-258d-4358-8242-05dba5a50bca · inbound
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models cites this paper.
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:12:38.444811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ac3d27f-7c44-4e0a-be78-6d8ba40ee92e · inbound
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:49:41.523576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5076d94-07c6-4475-8fb1-31568095960e · inbound
TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies? cites this paper.
TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies? InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T16:41:37.834324Z
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 6c2e6875-f1a1-4088-bc1c-21e4d053fcd5 · inbound
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents cites this paper.
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:41:22.584480Z
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 af50635d-a1d9-4977-9180-3439cbf037d9 · inbound
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs cites this paper.
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:27:58.011777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b064333-15cc-4f7f-9284-4c40a6317838 · inbound
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding cites this paper.
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:23:07.235364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 125e64e3-7bd1-4b90-98ff-66ee8ca3c617 · inbound
OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.
OneThinker: All-in-one Reasoning Model for Image and Video InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 f969c771-3294-4789-b06b-0369962a0a19 · inbound
Adapting MLLMs for Nuanced Video Retrieval cites this paper.
Adapting MLLMs for Nuanced Video Retrieval InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 511079d9-318b-46a3-8e6e-da53b0d1ba2b · inbound
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models cites this paper.
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:57:29.163851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8eca61ed-2e08-4c71-9a6e-711a3e782706 · inbound
Streaming Video Instruction Tuning cites this paper.
Streaming Video Instruction Tuning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 b5c2d4b6-449e-48e8-ba9b-73b57c33bf8e · inbound
CoVR-R:Reason-Aware Composed Video Retrieval cites this paper.
CoVR-R:Reason-Aware Composed Video Retrieval InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T21:37:55.887477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eb35f2e-c345-452b-ac95-bdcc3ba2d825 · inbound
Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting cites this paper.
Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T15:29:31.834566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a8b1fb9-ff9f-42df-a6b5-7d0c193524d5 · inbound
Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning cites this paper.
Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 9927fd3a-fbcf-4b98-8340-fe8b16e5cc32 · inbound
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding cites this paper.
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 d75ee4db-3bfd-4077-ada7-08f5479605c9 · inbound
How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms cites this paper.
How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 ba20b7fd-ddc6-422c-b8ae-4b189c29cccf · inbound
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models cites this paper.
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 bc29fe2b-741c-42aa-b69d-71c896e9466f · inbound
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 bc44a8a6-a9d4-4297-a4aa-4a1f6216f892 · inbound
Grounding Video Reasoning in Physical Signals cites this paper.
Grounding Video Reasoning in Physical Signals InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 fbce2764-2f30-44e6-9315-2647701224ee · inbound
High-Speed Vision Improves Zero-Shot Semantic Understanding of Human Actions cites this paper.
High-Speed Vision Improves Zero-Shot Semantic Understanding of Human Actions InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 c37adac5-757e-451d-8091-6c3842fc4730 · inbound
From Priors to Perception: Grounding Video-LLMs in Physical Reality cites this paper.
From Priors to Perception: Grounding Video-LLMs in Physical Reality InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 923b11be-4673-4dcc-ab52-11d504621cea · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 cf8b4a35-bc2a-4db0-b47f-2e8b5783d3fa · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 212bc8f4-2e67-4968-b456-18f3da2e09b4 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 35b43260-bc1a-4853-8630-7f139cb4eca7 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:10:23.843719Z
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 f258556c-d103-4168-afd5-85ef3680fb2f · inbound
Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding cites this paper.
Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 b04166d4-610d-4ffc-9b28-986a6891da3d · inbound
EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding cites this paper.
EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 105
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 b81a58f8-962f-4907-9aa2-117c800457fc · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 0c3eca2b-ff6e-4ab1-810b-149a51feefe4 · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 ede6c788-8b9f-49a7-8cbd-e05aa70ac9c4 · inbound
CoRDS: Coreset-based Representative and Diverse Selection for Streaming Video Understanding cites this paper.
CoRDS: Coreset-based Representative and Diverse Selection for Streaming Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:52:20.835573Z
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 58ae6413-6598-4b95-937b-02f8a737aa6d · inbound
Video-Zero: Self-Evolution Video Understanding cites this paper.
Video-Zero: Self-Evolution Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:35:04.405551Z
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 fef7ad78-f74b-42a8-9b45-2ff7f068697c · inbound
LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs cites this paper.
LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T14:58:24.740744Z
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 83ae1637-3a12-4761-a6c8-4f0e0de9c6c0 · inbound
LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs cites this paper.
LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T14:55:47.286739Z
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 3face163-f13a-4359-8295-62fd8ad61842 · inbound
OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.
OProver: A Unified Framework for Agentic Formal Theorem Proving InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T14:48:23.444378Z
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 bf36e788-09c0-43e7-8528-2b51fd61e1ed · inbound
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering cites this paper.
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:21:13.185135Z
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 eb83c77e-b09d-4845-80da-8151f417c158 · inbound
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams cites this paper.
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:33:51.057493Z
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 bb48f86c-314b-441a-9a64-3c18019f3738 · inbound
VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer cites this paper.
VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T13:03:25.898452Z
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 670c8e33-42ac-4af3-9923-6d3663bc5fc1 · inbound
Masked Diffusion Vision-Language Models for Temporal Action Localization cites this paper.
Masked Diffusion Vision-Language Models for Temporal Action Localization InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:03:13.693211Z
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 6e7de1fb-0a2f-4b9c-a6a3-039326139e56 · inbound
ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation cites this paper.
ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T12:36:56.986840Z
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 0f97e9b7-e167-413e-886c-b5181e0c233a · inbound
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning cites this paper.
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T07:56:47.318780Z
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 b62462ba-6f47-43e3-948c-df820a424819 · inbound
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding cites this paper.
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 97
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T17:07:12.785043Z
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 76fafa33-ac4f-443b-845c-5b6137108df7 · inbound
CoCoSI: Collaborative Cognitive Map Construction for Spatial Intelligence cites this paper.
CoCoSI: Collaborative Cognitive Map Construction for Spatial Intelligence InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T03:57:38.936566Z
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 8ae19305-c3cc-420b-abc8-6aa4de49f69c · inbound
MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models cites this paper.
MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T10:27:56.120244Z
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 067fdded-660c-4c46-95ad-f2f2b80fb3ae · inbound
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.
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
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 40caaa14-d8ec-4074-a426-ddab0dadf133 · inbound
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams cites this paper.
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 93
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T20:38:56.157736Z
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 c15dff4b-100b-4359-9947-c668c84245f7 · inbound
Latent Visual Diffusion Reasoning with Monte Carlo Tree Search cites this paper.
Latent Visual Diffusion Reasoning with Monte Carlo Tree Search InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T19:03:52.403983Z
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 74cbdf07-f726-49e6-bbac-7ad254b47189 · inbound
MotionAtlas: Detailed Region Captioning for Motion-Centric Videos cites this paper.
MotionAtlas: Detailed Region Captioning for Motion-Centric Videos InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T07:24:21.122131Z
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 739ba1f6-1d06-49be-a72b-87a3066511ab · inbound
Learning to Deny: Action Denial in Multimodal Large Language Models cites this paper.
Learning to Deny: Action Denial in Multimodal Large Language Models InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:45:39.577296Z
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 f29c3843-0f5c-4a33-83c4-b1b4a5e870e8 · inbound
Bridging Video Understanding and Generation in a Unified Framework cites this paper.
Bridging Video Understanding and Generation in a Unified Framework InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:05:40.298995Z
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 5add77d4-1b8a-497d-908a-e85aa98bd5ce · inbound
LongEgoRefer: A Benchmark for Long-Form Egocentric Video Referring Expression Comprehension cites this paper.
LongEgoRefer: A Benchmark for Long-Form Egocentric Video Referring Expression Comprehension InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T15:48:35.012694Z
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 5e8d3556-65e6-4e26-8f18-241baa4085a2 · inbound
Natural Language Camera Movement Understanding cites this paper.
Natural Language Camera Movement Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:16:19.750976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e882bf37-90d4-499d-b6eb-528ea4968e99 · inbound
Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study cites this paper.
Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:03:30.708082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0b6ef65-6f2c-4d51-b3ef-f0f043eb7e6f · inbound
DynTrace: Tracking Dynamic Object Evidence for 4D Spatio-Temporal Reasoning in MLLMs cites this paper.
DynTrace: Tracking Dynamic Object Evidence for 4D Spatio-Temporal Reasoning in MLLMs InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:34:30.007079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbcfc400-3eab-4288-add5-b74a12a64c15 · inbound
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding cites this paper.
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:44:40.385436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa7e5358-e336-43c6-930b-f843dab8d307 · inbound
MAC 2026: Advancing Micro-Action Analysis Towards Fine-Grained Understanding cites this paper.
MAC 2026: Advancing Micro-Action Analysis Towards Fine-Grained Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:40:00.692260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a282df78-dfdb-4c02-a1fa-68bff1bba73f · inbound
Continual Video-MLLM Adaptation over Evolving Domains cites this paper.
Continual Video-MLLM Adaptation over Evolving Domains InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:37:47.442834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff3267ed-70a9-484c-bfc9-b1e7b5a9304d · inbound
V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding-Refusal Coupling Failure cites this paper.
V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding-Refusal Coupling Failure InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:24.495566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f64894f-968d-4087-8589-5ad2eec00747 · inbound
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding cites this paper.
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:32:54.425149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2e2663e-7d84-4879-84ce-54ed7852962f · inbound
FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding cites this paper.
FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:59:25.397951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0c17133-5f7a-4704-b073-b60832060a27 · inbound
FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding cites this paper.
FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:46:11.788344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32732981-9dac-4e5e-b682-39fa7b19ab3a · inbound
VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding cites this paper.
VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T06:37:32.975156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac560be2-623d-42f1-83e5-80d01c5921d6 · inbound
Think in Sets for Streaming Video Token Compression cites this paper.
Think in Sets for Streaming Video Token Compression InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:31:40.530514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.