VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models | Paper Citation Record

Observation 0b89677d-3b55-4f0b-b0fa-46f60380ab2e · outbound

This paper cites Robovqa: Multimodal long-horizon reasoning for robotics.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Robovqa: Multimodal long-horizon reasoning for robotics

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.239931Z

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Observation c878ab8e-0a4b-4286-9bb6-0c705479fbd3 · outbound

This paper cites MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Reference 2

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Observation 236615c5-5e79-4ada-ba59-d2b445ddf7cc · outbound

This paper cites EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning

Reference 3

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Observation 144edce9-8fb6-4610-bc43-0d037e06a919 · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Openeqa: Embodied question answering in the era of foundation models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.224949Z

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Observation d80e3b03-69f1-440e-8910-a0d0c85dc28a · outbound

This paper cites Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.466110Z

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Observation 6f59abb2-0476-4a6d-a816-b4485f291313 · outbound

This paper cites A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 6

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Observation 45022173-519c-455a-bc87-57177bbf8318 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.208399Z

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Observation 6cb698aa-a7bd-4323-8b10-e43c707f888d · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.483140Z

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Observation 46c22944-33a7-4cec-936e-4a58d7efeb44 · outbound

This paper cites A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.489753Z

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Observation 81b998e8-84cd-4ebd-82ad-3ab02563bc02 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.495030Z

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Observation e50418e7-bf9e-4d51-86fd-1264daa20d9b · outbound

This paper cites Learning transferable visual models from natural language supervision.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Learning transferable visual models from natural language supervision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.193579Z

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Observation cdff0e5f-ee66-4d28-a96b-3f5716613f57 · outbound

This paper cites Sigmoid loss for language image pre-training.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Sigmoid loss for language image pre-training

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.178154Z

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Observation 82f532e7-71c2-45e0-b07e-e60c41ae0a9c · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.509378Z

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Observation 96598b34-9e8d-4787-afd8-98e1cfe4e53e · outbound

This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Reference 14

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Observation 7270f04b-5650-4b02-bbef-ae2a4a921ff8 · outbound

This paper cites SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.520336Z

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Observation 605c03e1-405b-4afc-b7ee-1ac3815bde4b · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.162399Z

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Observation a418e650-accc-4d06-8ae2-41cfbd230895 · outbound

This paper cites LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.532560Z

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Observation ae912172-be3e-4f6d-ac41-6e33bfe252ab · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.537472Z

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Observation 50caf98d-008e-4c68-b7f7-a27bc88dd2a9 · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 19

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Observation 9cf4d981-c735-4225-bb99-f5f4764d190b · outbound

This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Timechat: A time-sensitive multimodal large language model for long video understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.147759Z

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Observation bb79dd26-bed0-4924-b083-bc95c8cfb7b3 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 21

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Observation bfdc15e9-adde-4fe9-a13d-624b11eb2769 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.557150Z

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Observation e5439363-9c59-44d3-a269-b8b7db28832c · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.562745Z

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Observation 578520e5-b3bb-4afe-9cc2-8bb64ce22f25 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.567661Z

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Observation 43c1aa7a-e644-415c-9837-9a358b3c61b3 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.132123Z

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Observation 1ebae743-b61f-48fa-b400-fbdbd49df6e4 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 26

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Observation abc00dbc-3b25-4895-8253-99514193ed0c · outbound

This paper cites Qwen-vl: A versatile vision-language model for understanding, localization.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Qwen-vl: A versatile vision-language model for understanding, localization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.116420Z

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Observation ed7d0b5a-a7ca-4ac5-b33c-f162c980f986 · outbound

This paper cites Qwen2.5-VL Technical Report.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Qwen2.5-VL Technical Report

Reference 28

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Observation 8d2f1091-ee92-4f41-b884-c575b4d27450 · outbound

This paper cites Intentqa: Context-aware video intent reasoning.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Intentqa: Context-aware video intent reasoning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.084753Z

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Observation 852a0e58-1b22-4e8e-903b-0ef34fe7db90 · outbound

This paper cites Rex- time: A benchmark suite for reasoning-across-time in videos.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Rex- time: A benchmark suite for reasoning-across-time in videos

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.069675Z

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Observation 95eb2e73-826e-45ec-ba3f-6e5aa90e6e69 · outbound

This paper cites From representation to reasoning: Towards both evidence and commonsense reasoning for video question-answering.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models From representation to reasoning: Towards both evidence and commonsense reasoning for video question-answering

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.052199Z

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Observation a9ef2c91-79b1-4a9a-ab86-7279b66c08b5 · outbound

This paper cites Long Context Transfer from Language to Vision.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Long Context Transfer from Language to Vision

Reference 32

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Observation 906e0ef9-b0e3-40b6-a7d0-d3b554e4d1d6 · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Moviechat: From dense token to sparse memory for long video understanding

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.036159Z

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Observation c725de8b-4d3c-42b8-bbb1-e77eda694019 · outbound

This paper cites VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling

Reference 34

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Observation ec3dd096-487a-4ce7-8741-b02ab8275c7c · outbound

This paper cites video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.626864Z

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Observation 01a1d4b7-fae9-465e-a4fd-a4c44af26b47 · outbound

This paper cites VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

Reference 36

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Observation 4e1f5f85-d232-4aab-8ea3-c116692f5b5e · outbound

This paper cites Video understanding with large language models: A survey.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Video understanding with large language models: A survey

Reference 37

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Observation 920f45ec-7d6e-4994-a205-3e17288a260c · outbound

This paper cites Foundation Models for Video Understanding: A Survey.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Foundation Models for Video Understanding: A Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.642396Z

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Observation 6ae3780d-0c83-40ce-a81c-fa06d730fe3f · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.647351Z

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Observation eca70cb1-cdc6-4f87-93d4-b83935edb694 · outbound

This paper cites Video question answering via gradually refined attention over appearance and motion.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Video question answering via gradually refined attention over appearance and motion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:35.008796Z

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Observation 2a023add-8aef-4e6e-8b2f-07d2cf103131 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Next-qa: Next phase of question- answering to explaining temporal actions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.990702Z

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Observation acea9151-c1c2-4783-9c9f-1d659178ccc0 · outbound

This paper cites Tgif-qa: Toward spatio-temporal reasoning in visual question answering.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Tgif-qa: Toward spatio-temporal reasoning in visual question answering

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.975540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e75fe3f7-da28-4ef7-8baf-7a88741e82dc · outbound

This paper cites Lost in Time: A New Temporal Benchmark for VideoLLMs.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 43

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Observation e39db794-266f-4f71-b8c6-afea1340d505 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 44

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Observation 0efe9d6d-0a96-4d3d-b9df-09d0c1139a53 · outbound

This paper cites TempCompass: Do Video LLMs Really Understand Videos?.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models TempCompass: Do Video LLMs Really Understand Videos?

Reference 45

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Observation dd700fdb-2a23-43c3-9a61-04b000dd0e50 · outbound

This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.684509Z

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Observation 861cd7f6-85bf-478e-bea8-bf3dc51f9482 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models MLVU: Benchmarking Multi-task Long Video Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.689913Z

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Observation bb3b54af-c5be-4614-b2b4-575ef17ec51b · outbound

This paper cites Longvideobench: A benchmark for long- context interleaved video-language understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Longvideobench: A benchmark for long- context interleaved video-language understanding

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.959836Z

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Observation 4af261fa-79dd-48c9-a700-bc67770e9b37 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Egoschema: A diagnostic benchmark for very long-form video language understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.944426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0eb0d0b-aa1a-4a6d-83de-645e6b7d1a3a · outbound

This paper cites VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 50

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Observation 3d5e342c-f4bb-4d8b-a56c-51bb49b5abcd · outbound

This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 51

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Observation b934793b-b950-48ce-93e9-5c77b1a3a9c0 · outbound

This paper cites Sok-bench: A situated video reasoning benchmark with aligned open-world knowledge.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Sok-bench: A situated video reasoning benchmark with aligned open-world knowledge

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.929308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa4837b5-47b0-42d8-8d65-e4e6cd901d7a · outbound

This paper cites MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.721333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78f15c0-b7e3-4db3-8dc0-380def64992e · outbound

This paper cites ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.726301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8e6e87-15f4-430c-9521-2b29d9083cbf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.731448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8580e34b-d30c-4b28-b1e6-c0848ed85041 · outbound

This paper cites Deep reinforcement learning from human preferences.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Deep reinforcement learning from human preferences

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.904330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89df4697-23fa-4319-9127-b731d1cc5aac · outbound

This paper cites Proximal Policy Optimization Algorithms.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Proximal Policy Optimization Algorithms

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.741587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97814645-f452-4faa-8251-db811fa094db · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.748580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24680908-ecc4-4b80-bf19-e826a679e737 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.753498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e1edf25-7ef5-4916-a861-67fdbd79e8fd · outbound

This paper cites Learning to summarize with human feedback.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Learning to summarize with human feedback

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.889209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8c36977-6c37-45b7-9b12-17e04a61dd27 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models WebGPT: Browser-assisted question-answering with human feedback

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.763413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95e00432-1208-4893-87e9-0d48cb358aa9 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.768463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7501a49a-7ab1-4c2a-b32f-8c0ba6a17baf · outbound

This paper cites Cross-task weakly supervised learning from instructional videos.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Cross-task weakly supervised learning from instructional videos

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.774187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcfd53b-1f87-4dc8-b886-63934c8076a9 · outbound

This paper cites GPT-4 Technical Report.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models GPT-4 Technical Report

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.779074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7f9d09-8164-4e31-b0ff-cf7cb4912456 · outbound

This paper cites Procedure planning in instructional videos.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Procedure planning in instructional videos

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.862986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45816025-77a8-4996-8343-f5f185a6bce3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.788339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b696177-b007-40e3-a160-eb62669a7c28 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.793129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8f6bae-b1e5-4f52-8979-691d0a85fb06 · outbound

This paper cites The Llama 3 Herd of Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models The Llama 3 Herd of Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.797702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577db0fc-0d97-4733-8a58-afaccc14980c · outbound

This paper cites Identifying and mitigating vulnerabilities in llm-integrated applications.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Identifying and mitigating vulnerabilities in llm-integrated applications

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.847612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf3fe687-b0a0-444a-87ea-e87f80ecc16e · outbound

This paper cites Qwen Technical Report.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Qwen Technical Report

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.808139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047be0b7-5194-461e-9856-6be2066e33e2 · outbound

This paper cites Qwen2.5 Technical Report.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Qwen2.5 Technical Report

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.812991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0015e8-0aeb-4867-97b3-f8b93ab7d2bc · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.832119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ef27645-4dab-43fc-85a8-edf929a3dbc1 · outbound

This paper cites Improved baselines with visual instruction tuning.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Improved baselines with visual instruction tuning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.815963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation faf3c1a1-325b-4625-ae12-0e58912ab2c3 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models DINOv2: Learning Robust Visual Features without Supervision

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.827196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53afbc61-2f7a-425b-a164-06134bde3f79 · outbound

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

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Unmasked teacher: Towards training-efficient video foundation models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:59:34.799739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 443f75ea-042d-40ab-bbbf-82c5d5f71f07 · outbound

This paper cites Self-alignment of large video language models with refined regularized preference optimization.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Self-alignment of large video language models with refined regularized preference optimization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.838263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95008de-bb64-4ce2-8fda-886c9f83364d · outbound

This paper cites NVILA: Efficient Frontier Visual Language Models.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models NVILA: Efficient Frontier Visual Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.842742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df600f0-39b1-42a5-8f74-b0b2ab60c761 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.848016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d2c112-4f3f-477f-9dd0-beaee1a5d3d4 · outbound

This paper cites GPT-4o System Card.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models GPT-4o System Card

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.853704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3caf5fc-588c-41b9-9866-da8cedf6f0d6 · outbound

This paper cites an unresolved cited work.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Unresolved cited work

Reference 2025

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T21:59:35.100239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

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