Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2311.16103.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:07:09.556330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:39:37.654958Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6a496b85-6cc0-457c-81f2-327b2ba5c964 · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 133
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:56:41.875900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eeefd3dd-f688-43d6-80e2-93659ab49552 · inbound
TempCompass: Do Video LLMs Really Understand Videos? cites this paper.
TempCompass: Do Video LLMs Really Understand Videos? Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:46:16.779312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0fe0559f-075c-4d14-a087-1de07c63ef1d · inbound
MLVU: Benchmarking Multi-task Long Video Understanding cites this paper.
MLVU: Benchmarking Multi-task Long Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:55:26.421249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4380602a-a411-4aec-a9ef-e9139b5d7aa6 · inbound
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:46:28.564426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e5477cd8-9c92-4497-8925-47646329c903 · inbound
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models cites this paper.
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:07:09.556330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 081f7dd8-e3a6-4ac6-a1ad-3459c8ad70bb · inbound
On the Consistency of Video Large Language Models in Temporal Comprehension cites this paper.
On the Consistency of Video Large Language Models in Temporal Comprehension Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:07:00.809662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75f5f241-f1d3-4427-b93b-433224b632db · inbound
VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.
VidHal: Benchmarking Temporal Hallucinations in Vision LLMs Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:58:12.002715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e2b48806-8901-43d2-9c9c-310312ee36ff · inbound
Neptune: The Long Orbit to Benchmarking Long Video Understanding cites this paper.
Neptune: The Long Orbit to Benchmarking Long Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:58:29.460476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation facc0219-2a24-4ea2-a415-bd5a42daf1f1 · inbound
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions cites this paper.
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:56:06.311193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d49752f-6432-41a9-b1a4-dcbdc4b942ad · inbound
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding cites this paper.
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:22:51.012539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d1c639-d981-4237-b57d-e4f8c904d5b8 · inbound
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces cites this paper.
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:27:44.178010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 65f5c485-f92e-4fb4-a78c-7f68d539b65a · inbound
Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback cites this paper.
Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:09:13.328262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 790bf743-95bc-4de3-be39-e8ff36a81b80 · inbound
SCBench: A Sports Commentary Benchmark for Video LLMs cites this paper.
SCBench: A Sports Commentary Benchmark for Video LLMs Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:24:17.780895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbd32194-8fee-41c4-9768-d7b7d9e0d75e · inbound
AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs cites this paper.
AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:19:53.440780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d26d89f2-222c-48f3-b906-17ba2aab3661 · inbound
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding cites this paper.
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:15:23.823071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c06a4d2c-520e-4fbb-aff2-933b4f80fb63 · inbound
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:32:41.171272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 832a929d-004e-4f4f-9261-e952cac7cfb0 · inbound
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs cites this paper.
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:53:26.388526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c9c0aa41-0ace-4d52-82ef-682ec8b0919c · inbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models cites this paper.
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:05.497735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e79e1b7e-d904-4d9e-bac3-d687bd900045 · inbound
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:47.827826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64cc6b8b-9e79-4452-8c8f-43cbbc82b203 · inbound
Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames cites this paper.
Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:18.562580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dec74c2f-daa6-4af3-993d-154d4e839773 · inbound
VUDG: A Dataset for Video Understanding Domain Generalization cites this paper.
VUDG: A Dataset for Video Understanding Domain Generalization Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:32:12.770007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7015e766-957a-4caa-ae1a-f5ee80c334fc · inbound
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing cites this paper.
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:50:52.887571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6521a2b5-eede-41bd-af83-a54a6c289419 · inbound
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning cites this paper.
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:37:15.771494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8a1f05c0-d91a-4c7a-830c-077a1a9b263c · inbound
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 120
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:53.591063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad1ab0a5-8d56-42b7-abc7-9ab6202c0e16 · inbound
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:22:55.944763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d870a68-30b1-48c1-adc5-d6dd3459f69a · inbound
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding cites this paper.
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:16.696016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ed3b0e7-ba83-42af-a584-0aec14638407 · inbound
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step cites this paper.
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:55:03.419558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fe0b637-3e4b-400a-9be1-0b50d4404bfb · inbound
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations cites this paper.
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:45:27.002204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3afeb3f-c265-4265-b6d6-c827bc88199f · inbound
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? cites this paper.
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:58:27.742728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee9acb31-5a21-4045-b2e0-84dd3f2f04f2 · inbound
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth cites this paper.
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:15:42.629926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67684500-24fc-4457-a575-c13145b72f96 · inbound
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models cites this paper.
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:12:37.260203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfe8e4e3-9465-4421-9f4b-1e4d1c9e580b · inbound
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:49:40.297857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21a2c4cd-3046-4363-94bf-87e42334fa85 · inbound
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:32:56.736581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f481b5b8-2317-4325-bedb-abeca7dfaecd · inbound
AdsQA: Towards Advertisement Video Understanding cites this paper.
AdsQA: Towards Advertisement Video Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:20:36.840834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab2acae2-096e-49db-a432-7471022ac7b0 · inbound
NeMo: Needle in a Montage for Video-Language Understanding cites this paper.
NeMo: Needle in a Montage for Video-Language Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:54:19.068356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8fb1a83-acef-479f-a08f-2d2b8d26c3f7 · inbound
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models cites this paper.
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T02:00:39.537569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd65e0bd-1307-4f2b-8dca-5361e2f58090 · inbound
VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? cites this paper.
VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:48:34.548699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 472bbbbf-c89c-4212-a656-713ea518a437 · inbound
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning cites this paper.
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:17:51.900773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b65ff505-7262-4668-8e46-ac9ac36a94b7 · inbound
Evolution of Video Generative Foundations cites this paper.
Evolution of Video Generative Foundations Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 183
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:05:51.688660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a5d7c21a-0f95-471f-8249-cbd7ba60f8a8 · inbound
Can Multimodal Large Language Models Truly Understand Small Objects? cites this paper.
Can Multimodal Large Language Models Truly Understand Small Objects? Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:01:19.368825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e7457510-7bcc-4a34-abf6-c7bef05eca4e · inbound
OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.
OProver: A Unified Framework for Agentic Formal Theorem Proving Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T14:48:23.414269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 54501be4-b06e-4906-b391-dc0aef2ece7b · inbound
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 183
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:39:37.656222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.