Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:51:15.431541Z
Paper Citation Record · LEDGER
VCA: Video Curious Agent for Long Video Understanding
As of 15 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 2 inbound Pith citation observations for arXiv:2412.10471.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:05.146191Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:34:19.511206Z
Reference resolution
92 of 92 outbound references displayed
- verified exact0
- verified fuzzy40
- unresolved51
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3d6d84b9-b5e6-4fe4-8014-55e0c34eba9f · outbound
This paper cites GPT-4 Technical Report.
VCA: Video Curious Agent for Long Video Understanding GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.041267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51523699-844e-4da4-85e4-bc474baadc22 · outbound
This paper cites Pixtral 12B.
VCA: Video Curious Agent for Long Video Understanding Pixtral 12B
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.046293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 261889dc-d7b7-4bc8-bffe-c72d02f478d1 · outbound
This paper cites Vivit: A video vi- sion transformer.
VCA: Video Curious Agent for Long Video Understanding Vivit: A video vi- sion transformer
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.051066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6865a22d-37c3-4bdd-838f-4988f968c1b8 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
VCA: Video Curious Agent for Long Video Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.055398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3fc42dc-693d-4ecd-b0dd-fd17260f792f · outbound
This paper cites Memory consolidation enables long-context video understanding.
VCA: Video Curious Agent for Long Video Understanding Memory consolidation enables long-context video understanding
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.060605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8515d0a1-12a8-4620-a969-eb49c4c311b9 · outbound
This paper cites Fuyu-8b: A multimodal architecture for ai agents, 2023.
VCA: Video Curious Agent for Long Video Understanding Fuyu-8b: A multimodal architecture for ai agents, 2023
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.064543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af3abac2-5cce-4289-af18-bfc1dc724b49 · outbound
This paper cites Is space-time attention all you need for video understanding?,.
VCA: Video Curious Agent for Long Video Understanding Is space-time attention all you need for video understanding?,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.069059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d14f7899-0ab9-4bfd-a0ea-b9a7ff6bda41 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset, 2018.
VCA: Video Curious Agent for Long Video Understanding Quo vadis, action recognition? a new model and the kinetics dataset, 2018
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.072865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef648ba7-9177-4563-a7ce-4c4bc552e631 · outbound
This paper cites PaLI-3 Vision Language Models: Smaller, Faster, Stronger.
VCA: Video Curious Agent for Long Video Understanding PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.076893Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd7a1a4a-20e4-407a-8323-d6ebf5831f0d · outbound
This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.
VCA: Video Curious Agent for Long Video Understanding How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.082494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3732499b-b4b4-46c0-94be-ea5a3901ea72 · outbound
This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
VCA: Video Curious Agent for Long Video Understanding VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.087106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fd94c65-4c7c-4883-a74b-5ef4939ffc3d · outbound
This paper cites Long Story Short: a Summarize-then-Search Method for Long Video Question Answering.
VCA: Video Curious Agent for Long Video Understanding Long Story Short: a Summarize-then-Search Method for Long Video Question Answering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.091438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b5b0cb3-e987-447c-9c90-fb5c27115ec2 · outbound
This paper cites Neural mechanisms of selective visual attention.
VCA: Video Curious Agent for Long Video Understanding Neural mechanisms of selective visual attention
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.096386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15b5829a-899c-4632-be9b-04fe5d604886 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.
VCA: Video Curious Agent for Long Video Understanding An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.100305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5577ee1c-92ed-47d2-ac91-7265309d36e2 · outbound
This paper cites Agent ai: Surveying the hori- zons of multimodal interaction, 2024.
VCA: Video Curious Agent for Long Video Understanding Agent ai: Surveying the hori- zons of multimodal interaction, 2024
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.104068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a47980ef-9da4-4686-8445-036e384d9c6f · outbound
This paper cites Multiscale vision transformers, 2021.
VCA: Video Curious Agent for Long Video Understanding Multiscale vision transformers, 2021
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.108418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd4d0e99-9438-4a05-ad98-7580bec6bd84 · outbound
This paper cites Videoagent: A memory-augmented mul- timodal agent for video understanding.
VCA: Video Curious Agent for Long Video Understanding Videoagent: A memory-augmented mul- timodal agent for video understanding
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.112260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 216eef99-e433-4e15-ba2d-d43f10802772 · outbound
This paper cites MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding.
VCA: Video Curious Agent for Long Video Understanding MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.116123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f7901a5-8f93-4ca5-b274-028bec8a148d · outbound
This paper cites Convolutional two-stream network fusion for video action recognition, 2016.
VCA: Video Curious Agent for Long Video Understanding Convolutional two-stream network fusion for video action recognition, 2016
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.120225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9006ca0-3711-47a8-a612-5c9a2078e9b1 · outbound
This paper cites Slowfast networks for video recognition.
VCA: Video Curious Agent for Long Video Understanding Slowfast networks for video recognition
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.123969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ef14b41-08f2-42f8-ad88-f8edb94d5787 · outbound
This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
VCA: Video Curious Agent for Long Video Understanding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.127510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3389d05-c3d7-4a46-96bb-45eda648ba62 · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
VCA: Video Curious Agent for Long Video Understanding Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.132599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5ba67c1-aebc-4b9b-bec4-a041a6acb94f · outbound
This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.
VCA: Video Curious Agent for Long Video Understanding Ego4d: Around the world in 3,000 hours of egocentric video
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.586010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c2a2dc18-7077-474d-9a6b-e4de37afa7f2 · outbound
This paper cites Cogvlm2: Visual language models for image and video understanding, 2024.
VCA: Video Curious Agent for Long Video Understanding Cogvlm2: Visual language models for image and video understanding, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.573907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8fa3bc7-3dbc-485e-8264-4a12f7377600 · outbound
This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.
VCA: Video Curious Agent for Long Video Understanding CogVLM2: Visual Language Models for Image and Video Understanding
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.146078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f6678cd-d257-4b71-af64-7cb5170f03a5 · outbound
This paper cites Cogagent: A visual language model for gui agents.
VCA: Video Curious Agent for Long Video Understanding Cogagent: A visual language model for gui agents
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.150921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d351d7f-b698-4c05-853f-767d1c889ed0 · outbound
This paper cites GPT-4o System Card.
VCA: Video Curious Agent for Long Video Understanding GPT-4o System Card
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.154598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 477c62d8-1208-4a0a-9f42-4e31cb5725ec · outbound
This paper cites Videowebarena: Evaluating long context multi- modal agents with video understanding web tasks, 2024.
VCA: Video Curious Agent for Long Video Understanding Videowebarena: Evaluating long context multi- modal agents with video understanding web tasks, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.555595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f44c37ae-b272-4ebd-8bbd-5200b06ef533 · outbound
This paper cites Chat-univi: Unified visual representation em- powers large language models with image and video under- standing, 2023.
VCA: Video Curious Agent for Long Video Understanding Chat-univi: Unified visual representation em- powers large language models with image and video under- standing, 2023
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.544086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3457cfb-8e41-482b-8dd7-fa7ba192d3bf · outbound
This paper cites Visualwe- barena: Evaluating multimodal agents on realistic visual web tasks, 2024.
VCA: Video Curious Agent for Long Video Understanding Visualwe- barena: Evaluating multimodal agents on realistic visual web tasks, 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.532383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5005d86a-8d58-41a3-8e5d-9c944600af86 · outbound
This paper cites Text-conditioned resampler for long form video understanding.
VCA: Video Curious Agent for Long Video Understanding Text-conditioned resampler for long form video understanding
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.519538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 880f3b83-c31c-426d-8fcb-fba47ec844e0 · outbound
This paper cites Mmctagent: Multi-modal critical thinking agent framework for complex visual reasoning, 2024.
VCA: Video Curious Agent for Long Video Understanding Mmctagent: Multi-modal critical thinking agent framework for complex visual reasoning, 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.508220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f21a43c9-f4a2-4950-abe8-2db653c866ff · outbound
This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.
VCA: Video Curious Agent for Long Video Understanding Mvbench: A comprehensive multi-modal video understand- ing benchmark
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.496358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35849f4b-8d40-4b19-9e9c-ed9b54d7e59d · outbound
This paper cites Llms meet long video: Advancing long video comprehension with an interactive visual adapter in llms, 2024.
VCA: Video Curious Agent for Long Video Understanding Llms meet long video: Advancing long video comprehension with an interactive visual adapter in llms, 2024
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.484433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2c05279b-68fe-4e6a-a474-16ab5fe9c366 · outbound
This paper cites Llama-vid: An image is worth 2 tokens in large language models.
VCA: Video Curious Agent for Long Video Understanding Llama-vid: An image is worth 2 tokens in large language models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.472714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3665cbd0-7ea9-40dc-ad99-aa7113cadbbe · outbound
This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.
VCA: Video Curious Agent for Long Video Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.193730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bbff455-264e-455a-a1b6-0bf79aa81699 · outbound
This paper cites Vila: On pre-training for visual language models, 2023.
VCA: Video Curious Agent for Long Video Understanding Vila: On pre-training for visual language models, 2023
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.198407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46a8d58a-6029-4d54-b466-009ec2bf1a2b · outbound
This paper cites Vila: Efficient video-language alignment for video question answering.
VCA: Video Curious Agent for Long Video Understanding Vila: Efficient video-language alignment for video question answering
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.453454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a1e798b-10dc-479c-86fd-cc36d57bd13f · outbound
This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.
VCA: Video Curious Agent for Long Video Understanding Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.206935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 612e2c43-93f8-4c0b-811d-b46df35b197b · outbound
This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.
VCA: Video Curious Agent for Long Video Understanding World Model on Million-Length Video And Language With Blockwise RingAttention
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.210641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c35b66f-85ab-40d0-b766-f318258234e7 · outbound
This paper cites DrVideo: Document Retrieval Based Long Video Understanding.
VCA: Video Curious Agent for Long Video Understanding DrVideo: Document Retrieval Based Long Video Understanding
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.215134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52fb01ea-7a3a-45ac-9755-4104a306c77d · outbound
This paper cites Drvideo: Document retrieval based long video understanding, 2024.
VCA: Video Curious Agent for Long Video Understanding Drvideo: Document retrieval based long video understanding, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.433418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46e6c3fb-224b-45ad-9dca-67673151045b · outbound
This paper cites EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding.
VCA: Video Curious Agent for Long Video Understanding EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.224560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4cb7f4b-97b4-4be9-b505-2b0c4a993db4 · outbound
This paper cites Beyond short snippets: Deep networks for video classification, 2015.
VCA: Video Curious Agent for Long Video Understanding Beyond short snippets: Deep networks for video classification, 2015
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.422055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47a4c27d-d36b-4cc9-8205-b49832ef4134 · outbound
This paper cites A simple recipe for contrastively pre-training video-first en- coders beyond 16 frames.
VCA: Video Curious Agent for Long Video Understanding A simple recipe for contrastively pre-training video-first en- coders beyond 16 frames
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.410532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation de5b2391-1995-4716-975e-ba8516b10142 · outbound
This paper cites Too many frames, not all useful: Efficient strategies for long- form video qa.
VCA: Video Curious Agent for Long Video Understanding Too many frames, not all useful: Efficient strategies for long- form video qa
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.236923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5955f83d-b136-40fb-8dac-d4d57c812536 · outbound
This paper cites Cinepile: A long video question answering dataset and benchmark.
VCA: Video Curious Agent for Long Video Understanding Cinepile: A long video question answering dataset and benchmark
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.398826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 00f39dc4-3c86-4e6e-8c63-c06ad75c3438 · outbound
This paper cites TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.
VCA: Video Curious Agent for Long Video Understanding TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.245087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60d0596a-2ccc-4e89-ae0e-6d3cfe265492 · outbound
This paper cites Timechat: A time-sensitive multimodal large lan- guage model for long video understanding.
VCA: Video Curious Agent for Long Video Understanding Timechat: A time-sensitive multimodal large lan- guage model for long video understanding
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.387086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bb21bf32-36d8-4c41-87be-b037535dab71 · outbound
This paper cites Mad: A scalable dataset for language grounding in videos from movie audio descriptions.
VCA: Video Curious Agent for Long Video Understanding Mad: A scalable dataset for language grounding in videos from movie audio descriptions
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.375042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4f4958a5-1ca7-450c-be0e-eb9382c7b21a · outbound
This paper cites MovieChat: From Dense Token to Sparse Memory for Long Video Understanding.
VCA: Video Curious Agent for Long Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.258067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b4a6df2-4941-45a3-b2ea-c2d322bc254d · outbound
This paper cites Videobert: A joint model for video and language representation learning, 2019.
VCA: Video Curious Agent for Long Video Understanding Videobert: A joint model for video and language representation learning, 2019
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.362523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d6b354a4-655a-47d7-95f2-dbe1febb5d04 · outbound
This paper cites EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters.
VCA: Video Curious Agent for Long Video Understanding EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.266437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a894cc53-7abf-4b75-adbb-d886e7773247 · outbound
This paper cites Long-form video-language pre- training with multimodal temporal contrastive learning.
VCA: Video Curious Agent for Long Video Understanding Long-form video-language pre- training with multimodal temporal contrastive learning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.350897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 814c598b-edbf-4d3c-9d89-4f4317151126 · outbound
This paper cites Video understand- ing with large language models: A survey, 2024.
VCA: Video Curious Agent for Long Video Understanding Video understand- ing with large language models: A survey, 2024
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.275208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de543687-321a-44ee-b080-cbf3b9d5466b · outbound
This paper cites Movieqa: Understanding stories in movies through question- answering.
VCA: Video Curious Agent for Long Video Understanding Movieqa: Understanding stories in movies through question- answering
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.279070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe5cd61-36ab-42be-b37c-532afffd49a2 · outbound
This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.
VCA: Video Curious Agent for Long Video Understanding Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.283036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c13a532f-41a0-4504-8bc7-e707e9c4257d · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
VCA: Video Curious Agent for Long Video Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.287162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80008c2b-7657-4e3f-8dde-b1a662f2e23d · outbound
This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training, 2022.
VCA: Video Curious Agent for Long Video Understanding Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training, 2022
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.291100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55b5e6cc-f345-43c1-a588-10fcc4ef2960 · outbound
This paper cites Learning spatiotemporal features with 3d convolutional networks, 2015.
VCA: Video Curious Agent for Long Video Understanding Learning spatiotemporal features with 3d convolutional networks, 2015
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.317405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63c54d6f-f1ad-4f00-875c-22a6580deafa · outbound
This paper cites Temporal segment networks: Towards good practices for deep action recogni- tion, 2016.
VCA: Video Curious Agent for Long Video Understanding Temporal segment networks: Towards good practices for deep action recogni- tion, 2016
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.305767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a4a4cbc-e6d5-4829-babc-338979a337a9 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
VCA: Video Curious Agent for Long Video Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.306717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76b730db-99aa-4dba-accc-95a730fc01ee · outbound
This paper cites Lvbench: An extreme long video under- standing benchmark, 2024.
VCA: Video Curious Agent for Long Video Understanding Lvbench: An extreme long video under- standing benchmark, 2024
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.294283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 242bfa80-faa5-42eb-a0d5-48c39bc8d142 · outbound
This paper cites Videoagent: Long-form video understanding with large language model as agent.
VCA: Video Curious Agent for Long Video Understanding Videoagent: Long-form video understanding with large language model as agent
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.282230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8b1b3b59-05ca-4048-9817-1904fb0b4e47 · outbound
This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.
VCA: Video Curious Agent for Long Video Understanding InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.318360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69f645a1-effd-44c7-9636-206d41f72c32 · outbound
This paper cites VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges.
VCA: Video Curious Agent for Long Video Understanding VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.322474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91936784-82be-407c-bdcf-d75ed8a71c27 · outbound
This paper cites LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos.
VCA: Video Curious Agent for Long Video Understanding LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.326991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02f7f34a-aac9-4cf7-bd8e-2cb94f5ac74e · outbound
This paper cites Videotree: Adaptive tree-based video representation for llm reasoning on long videos, 2024.
VCA: Video Curious Agent for Long Video Understanding Videotree: Adaptive tree-based video representation for llm reasoning on long videos, 2024
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.270861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2bdc60be-9dd0-4229-9bab-ff8514d67e17 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.
VCA: Video Curious Agent for Long Video Understanding Chain-of-thought prompting elicits reasoning in large lan- guage models
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.259206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc647345-2c72-4960-b58b-e6a70b1fb2c7 · outbound
This paper cites Longvlm: Efficient long video understand- ing via large language models.
VCA: Video Curious Agent for Long Video Understanding Longvlm: Efficient long video understand- ing via large language models
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.248534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b19d0b9-2fa9-4859-9796-7de444f4911e · outbound
This paper cites Towards long-form video understanding.
VCA: Video Curious Agent for Long Video Understanding Towards long-form video understanding
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.236838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70d9bbdf-f295-4f3c-8cfa-3b6b443c9381 · outbound
This paper cites Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition.
VCA: Video Curious Agent for Long Video Understanding Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.348677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34a64946-a01d-4c10-a33e-cb46b526bb87 · outbound
This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.
VCA: Video Curious Agent for Long Video Understanding Longvideobench: A benchmark for long-context interleaved video-language understanding
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.217809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ebff8ae7-e013-4bc4-9187-025f8f21f7db · outbound
This paper cites Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification, 2018.
VCA: Video Curious Agent for Long Video Understanding Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification, 2018
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.206124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9d5cf55d-b454-4c7f-bd27-81a0d131a94a · outbound
This paper cites Openagents: An open platform for language agents in the wild.
VCA: Video Curious Agent for Long Video Understanding Openagents: An open platform for language agents in the wild
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.194348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1dbfeea-7d32-4be2-9840-2af4989ece2e · outbound
This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
VCA: Video Curious Agent for Long Video Understanding OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.364479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4883504d-1107-4b07-a411-ea6c46adb681 · outbound
This paper cites Retrieval-based video language model for efficient long video question answering, 2023.
VCA: Video Curious Agent for Long Video Understanding Retrieval-based video language model for efficient long video question answering, 2023
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.368788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54a605b3-565d-4a03-ae31-743de26d7b01 · outbound
This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents, 2023.
VCA: Video Curious Agent for Long Video Understanding Webshop: Towards scalable real-world web interaction with grounded language agents, 2023
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.176026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f9b804f9-515c-4df2-9b02-ae48e13da4cf · outbound
This paper cites Self-chained image-language model for video localization and question answering.
VCA: Video Curious Agent for Long Video Understanding Self-chained image-language model for video localization and question answering
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.164614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a52fe91e-011f-4564-bbf5-24f989ed223d · outbound
This paper cites Self-chained image-language model for video localization and question answering.
VCA: Video Curious Agent for Long Video Understanding Self-chained image-language model for video localization and question answering
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.151829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a30d6094-19d9-495f-99a7-92a78f2b1a49 · outbound
This paper cites A Simple LLM Framework for Long-Range Video Question-Answering.
VCA: Video Curious Agent for Long Video Understanding A Simple LLM Framework for Long-Range Video Question-Answering
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.384737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d885ae91-1cc3-4a58-a0a5-14228144837e · outbound
This paper cites Video-llama: An instruction-tuned audio-visual language model for video un- derstanding.
VCA: Video Curious Agent for Long Video Understanding Video-llama: An instruction-tuned audio-visual language model for video un- derstanding
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.139526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 786b2f4d-aad2-41d3-8079-eb4383c4a47a · outbound
This paper cites LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering.
VCA: Video Curious Agent for Long Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.394379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e9b1cb3-0644-436c-a0af-3a7c2d6e3a39 · outbound
This paper cites Long Context Transfer from Language to Vision.
VCA: Video Curious Agent for Long Video Understanding Long Context Transfer from Language to Vision
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.398268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82e4a9ea-bc64-4391-a384-3af8d474d0fe · outbound
This paper cites Llava- next: A strong zero-shot video understanding model, 2024.
VCA: Video Curious Agent for Long Video Understanding Llava- next: A strong zero-shot video understanding model, 2024
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.127777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fecf0dcf-b274-4a34-b8e0-f75cb72ceae1 · outbound
This paper cites LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
VCA: Video Curious Agent for Long Video Understanding LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:15.406260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91fd47c0-fed7-4208-a2a6-024676ca805b · outbound
This paper cites Videoprism: A foundational visual encoder for video understanding.
VCA: Video Curious Agent for Long Video Understanding Videoprism: A foundational visual encoder for video understanding
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.115324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 20de5e04-6ac3-42ff-b446-a0f1f4577a82 · outbound
This paper cites Actbert: Learning global-local video-text representations, 2020.
VCA: Video Curious Agent for Long Video Understanding Actbert: Learning global-local video-text representations, 2020
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.102719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 214f7c4f-2c7f-4f29-88a3-13f88ff0975b · outbound
This paper cites We include the prompt on how the reward model (R) generates relevance scores in Fig.
VCA: Video Curious Agent for Long Video Understanding We include the prompt on how the reward model (R) generates relevance scores in Fig
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.090015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8218422c-8a9a-43e3-a93c-e35cafca49b7 · outbound
This paper cites Dataset Dataset Avg.
VCA: Video Curious Agent for Long Video Understanding Dataset Dataset Avg
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.077560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 54a0f9f9-e39a-4c4b-87a9-1b83b3adbb29 · outbound
This paper cites Experimental Results As discussed in Sec.
VCA: Video Curious Agent for Long Video Understanding Experimental Results As discussed in Sec
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:51:16.063874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a1a8f6b0-82e6-4a5c-8c12-10ee970cd76e · outbound
This paper cites 5.2, in this section, we investigate the common failure cases of our framework, aiming to provide data points and insights for the future research.
VCA: Video Curious Agent for Long Video Understanding 5.2, in this section, we investigate the common failure cases of our framework, aiming to provide data points and insights for the future research
Reference 93
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T16:51:16.050757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 1e00a398-26eb-43cb-8fe3-3094f39cb71d · inbound
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding cites this paper.
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding VCA: Video Curious Agent for Long Video Understanding
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:52:05.146191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d19217dc-6bd2-41ea-805a-31257957c3a9 · inbound
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs cites this paper.
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs VCA: Video Curious Agent for Long Video Understanding
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:34:19.512782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.