Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2410.10818.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:07.209929Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:39:03.234328Z
Reference resolution
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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 d5b6241f-c506-4dde-888a-5ebddaa3d455 · inbound
LLaVA-Video: Video Instruction Tuning With Synthetic Data cites this paper.
LLaVA-Video: Video Instruction Tuning With Synthetic Data TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 216
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8728683d-c1dd-4cae-8913-cb685f76a829 · inbound
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4d7bc3d6-cca5-45e2-9860-084fb8cfc5d9 · inbound
Seed1.5-VL Technical Report cites this paper.
Seed1.5-VL Technical Report TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a6bc6d7e-b309-427f-aa28-fe817f779cc3 · inbound
RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models cites this paper.
RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0068b704-aecd-46cc-a8c5-175b3944aa05 · inbound
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 358b7850-828e-4e44-905f-3a296da34640 · inbound
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding cites this paper.
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:17:18.545824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8c97c53f-09c4-49cc-a2be-eebe6f273efc · inbound
Fostering Video Reasoning via Next-Event Prediction cites this paper.
Fostering Video Reasoning via Next-Event Prediction TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 305f6973-6c73-49c7-a805-d19b14918540 · inbound
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times cites this paper.
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a22fff6-cf20-4c15-89bc-b46ffd20a18e · inbound
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs cites this paper.
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b3e7157c-7b90-4817-989b-f5200612b389 · inbound
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning cites this paper.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.948202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e849daa4-bf69-475c-8e19-353675a6c28c · inbound
ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models cites this paper.
ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbe643d1-35b2-4d2e-9e1a-e0b64b67fc02 · 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? TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2024
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f91d00e8-c6f6-491f-b1a5-7bdc970597a8 · inbound
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding cites this paper.
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad492195-bd08-400d-a93c-a65b26054333 · inbound
CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos cites this paper.
CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2024
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15f9e0ce-387e-4e56-a998-6d9afa19ef88 · inbound
AdsQA: Towards Advertisement Video Understanding cites this paper.
AdsQA: Towards Advertisement Video Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af06448f-fba1-4f4c-bcbd-94a2990c6610 · inbound
NeMo: Needle in a Montage for Video-Language Understanding cites this paper.
NeMo: Needle in a Montage for Video-Language Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8aaab0-b1f6-4fde-bec6-dbbb05df58b9 · inbound
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d12b6c69-c134-451c-910b-20cabb957091 · inbound
See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models cites this paper.
See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c84d5d53-66bb-46aa-8f21-429c8c812f36 · inbound
From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models cites this paper.
From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6290141-24a4-455e-b8f9-c5e6fe3d58e8 · inbound
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models cites this paper.
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6968e55c-af11-43d4-910d-b458eb5ba282 · inbound
POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.
POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4d934730-f911-4785-8ed2-1e50700138de · inbound
When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models cites this paper.
When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ebfb5115-25aa-42a9-8026-15d9f12fafa5 · inbound
VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition cites this paper.
VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 21
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 83c7d2dd-2323-4155-b984-2468ff757f85 · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 4
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7d3ca994-57b8-40e7-917c-a5a53953eb14 · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 4
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7559d5ad-eb08-48c6-aa60-ead607b633ac · inbound
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f1700d39-3c5f-45fb-8f20-19724b4ed41a · inbound
Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding cites this paper.
Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 9
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation aaa66853-e66b-4ffb-8c41-8f8517e6def5 · inbound
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding cites this paper.
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a057f476-9899-436f-91f4-48608cfcacc4 · inbound
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding cites this paper.
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 165ec764-c51b-4b13-8e50-4780a9e9f8e9 · inbound
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding cites this paper.
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e6080247-df3f-4d8b-944b-8736e0d26d6a · inbound
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning cites this paper.
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 4
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9aca9f84-e2ee-4eb9-a074-cb6fe0b21f5e · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 7
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5fa44cfa-c497-42cd-8aa1-84798f581a31 · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 7
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Unavailable: canonical work link unavailable.
Observation de64e0c2-82c2-414a-a70c-739353ac54ac · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5eb221b-48ea-48d7-8e50-f892bc12077b · inbound
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams cites this paper.
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 5
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2a848339-a283-4131-80eb-97e8b045757f · inbound
YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.
YoCausal: How Far is Video Generation from World Model? A Causality Perspective TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 18
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f8049609-c217-4dd0-9b2a-88c25912653e · inbound
TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation cites this paper.
TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
- Resolution
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- arxiv_id, observed 2026-06-28T23:12:46.638618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8ba65bc2-aaee-4236-9f7a-44708d0b76f4 · inbound
Benchmarking Visual State Tracking in Multimodal Video Understanding cites this paper.
Benchmarking Visual State Tracking in Multimodal Video Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a21a8d1f-e3e0-4d18-957e-68a4b6df0fbb · inbound
MAOAM: Unified Object and Material Selection with Vision-Language Models cites this paper.
MAOAM: Unified Object and Material Selection with Vision-Language Models TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 142
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4544884c-2f76-421b-ae9b-7d6aabf2f597 · inbound
APT: Atomic Physical Transitions for Causal Video-Language Understanding cites this paper.
APT: Atomic Physical Transitions for Causal Video-Language Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:39:03.236843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fe62423f-d61e-4782-aac6-fa2f3577de9c · inbound
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation cites this paper.
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 6
- Resolution
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- arxiv_id, observed 2026-07-01T16:05:49.779006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.