Paper Citation Record · LEDGER

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering

As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2412.12833.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.12833 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:44:50.672180Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:40.436903Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

72 of 72 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7deb4e54-a544-43cf-9ec6-4ae0d1de3e4e · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Flamingo: a visual language model for few-shot learning

Reference 1

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Observation 3be2706f-a41f-4581-80a9-75c517c53179 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

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Observation c21441fc-495e-413e-ade8-ce4e89f3dea1 · outbound

This paper cites Memory Consolidation Enables Long-Context Video Understanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Memory Consolidation Enables Long-Context Video Understanding

Reference 3

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This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 4

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Observation e07e8417-78d9-4864-b5c2-a8077e335d3b · outbound

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

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 5

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Observation baf08990-0c88-4e02-a7a9-08728f4048a6 · outbound

This paper cites Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model

Reference 6

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Observation ebaf58fb-25de-4edf-af88-ca03f5b24131 · outbound

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

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 7

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Observation e3c85fba-9546-4263-8206-8e8ead4454e2 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 8

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Observation f3bf6c2e-3ffa-4700-881f-4528e9510437 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering PaLM: Scaling Language Modeling with Pathways

Reference 9

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Observation 459de546-0dde-49ba-8586-8f548a6d0328 · outbound

This paper cites Scaling instruction- finetuned language models.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Scaling instruction- finetuned language models

Reference 10

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Observation 42793921-42a3-4e57-ac57-e495bf7b8f8b · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Instructblip: Towards general- purpose vision-language models with instruction tuning

Reference 11

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Observation 39776e8a-ce3f-4fb6-b1a0-b2a823373b02 · outbound

This paper cites Egovqa-an egocentric video question answer- ing benchmark dataset.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Egovqa-an egocentric video question answer- ing benchmark dataset

Reference 12

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Observation ecacce4a-9f99-4463-b9bf-3f7744a82d22 · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 13

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This paper cites An empirical study of end-to-end video-language transformers with masked vi- sual modeling.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering An empirical study of end-to-end video-language transformers with masked vi- sual modeling

Reference 14

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Observation 5505f809-a4e5-421c-9ce2-9e63472a52d2 · outbound

This paper cites The faculty of language: what is it, who has it, and how did it evolve? science, 298(5598):1569–1579, 2002.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering The faculty of language: what is it, who has it, and how did it evolve? science, 298(5598):1569–1579, 2002

Reference 15

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Observation 7cf23d61-6dcd-4c4e-b4bb-ede4d7c5d4af · outbound

This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video understanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Ma-lmm: Memory-augmented large multimodal model for long-term video understanding

Reference 16

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Observation 58ad06cc-9093-4e80-ba80-1d5356e57f6d · outbound

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

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 17

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Observation 5e83701a-aab5-4b91-ae2d-0fce57c80f23 · outbound

This paper cites Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding

Reference 18

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Observation e49bfb55-3144-4a2f-b33b-59b8d134b026 · outbound

This paper cites Language Repository for Long Video Understanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Language Repository for Long Video Understanding

Reference 19

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering The Kinetics Human Action Video Dataset

Reference 20

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Observation fbc6bf7b-8517-413f-9621-03f0cf75958d · outbound

This paper cites Segment any- thing.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Segment any- thing

Reference 21

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Observation b9ccc714-7929-4e32-bee2-724ade01dcd7 · outbound

This paper cites Revealing Single Frame Bias for Video-and-Language Learning.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Revealing Single Frame Bias for Video-and-Language Learning

Reference 22

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 23

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Observation f605c85a-e8f9-4e88-8dd3-3541048d8410 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering VideoChat: Chat-Centric Video Understanding

Reference 24

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This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Mvbench: A comprehensive multi-modal video understand- ing benchmark

Reference 25

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This paper cites Unmasked teacher: Towards training-efficient video foundation models.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Unmasked teacher: Towards training-efficient video foundation models

Reference 26

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This paper cites DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

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This paper cites Tgif: A new dataset and benchmark on animated gif description.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Tgif: A new dataset and benchmark on animated gif description

Reference 28

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This paper cites Invariant grounding for video question answering.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Invariant grounding for video question answering

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Visual instruction tuning

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This paper cites Image Captioning in news report scenario.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Image Captioning in news report scenario

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Language Models are Few-Shot Learners

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering ClipCap: CLIP Prefix for Image Captioning

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Introducing chatgpt

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering DINOv2: Learning Robust Visual Features without Supervision

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering The language instinct: How the mind creates language

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Streaming Long Video Understanding with Large Language Models

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Learning transferable visual models from natural language supervi- sion

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Understanding Long Videos with Multimodal Language Models

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Timechat: A time-sensitive multimodal large lan- guage model for long video understanding

Reference 42

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Fusecap: Leveraging large language mod- els for enriched fused image captions

Reference 43

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Talking about large language models

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Moviechat: From dense token to sparse memory for long video understanding

Reference 45

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframes

Reference 46

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Koala: Key frame-conditioned long video-llm

Reference 47

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering LLaMA: Open and Efficient Foundation Language Models

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Computing machinery and intelligence

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System

Reference 53

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering GIT: A Generative Image-to-text Transformer for Vision and Language

Reference 54

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition

Reference 55

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Reference 56

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This paper cites A large cross- modal video retrieval dataset with reading comprehension.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering A large cross- modal video retrieval dataset with reading comprehension

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.923186Z

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Observation 1bce6f61-334e-4adc-b45a-892d1cfe4f3d · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Next-qa: Next phase of question-answering to explaining temporal actions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.894177Z

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Observation 16e2c91b-832e-470d-8db2-dcfbb173dadd · outbound

This paper cites Video as conditional graph hierarchy for multi-granular question answering.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Video as conditional graph hierarchy for multi-granular question answering

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.869532Z

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Observation e4ffe5f4-c9d2-42ec-a1d7-bcd935e56afb · outbound

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Video question answer- ing via gradually refined attention over appearance and mo- tion

Reference 60

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Observation 7ac0a1a6-b20a-4c90-a3ac-a3664442ae4e · outbound

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering mplug-2: A modularized multi-modal foundation model across text, image and video

Reference 61

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Observation 2645119b-22bc-472e-8c14-06d5518652da · outbound

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 62

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Observation eb13a480-ead0-4234-ab84-56823a11744e · outbound

This paper cites VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Reference 63

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Just ask: Learning to answer ques- tions from millions of narrated videos

Reference 64

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Observation e89c310c-625b-48ae-af7f-6b72aac62960 · outbound

This paper cites Zero-shot video question answering via frozen bidirectional language models.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Zero-shot video question answering via frozen bidirectional language models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.781688Z

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Observation c8cbdc7d-43b5-4171-a8d2-750e90176b8d · outbound

This paper cites DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent).

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Reference 66

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Observation a7a8556c-9426-4a4b-a846-eb87ab881c96 · outbound

This paper cites Hitea: Hierarchical temporal- aware video-language pre-training.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Hitea: Hierarchical temporal- aware video-language pre-training

Reference 67

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Observation 5613c14b-5b87-482b-88e4-6f3b69eb3f1d · outbound

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FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Reference 68

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Observation add73827-01e9-40e2-a263-df818fe155c7 · outbound

This paper cites Self-chained image-language model for video localization and question answering.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Self-chained image-language model for video localization and question answering

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.738864Z

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Observation 1e15c84f-a3f7-4480-a4c2-9413a1cb7b0d · outbound

This paper cites Activitynet-qa: A dataset for understanding complex web videos via question answering.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.702530Z

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Observation 1dde4ae7-c105-4d57-9d7d-fbfb707794a0 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 71

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Observation a2b53762-26be-46d9-bf18-8476c458ca29 · outbound

This paper cites Streaming dense video captioning.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering Streaming dense video captioning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:44:51.660449Z

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Observation 8732139d-07c6-4e1d-8a75-29f261e19278 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 73

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Pith citing papers

Observation 4cb02e7a-cd0c-4d8a-aa94-689115e96931 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering

Reference 34

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Observation 0e828d07-d481-4c27-b553-2541daef71b7 · inbound

Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation cites this paper.

Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:34:31.024844Z

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