Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:33.768339Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.08736.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:33.768339Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Proceedings of the IEEE conference on computer vision and pattern recognition workshops , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Advances in neural information processing systems , volume=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Proceedings of the IEEE/CVF international conference on computer vision , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Computers & Graphics , volume=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation
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Reference 16
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models 2019 IEEE winter conference on applications of computer vision (WACV) , pages=
Reference 17
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models IEEE transactions on circuits and systems for video technology , volume=
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Reference 24
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models IEEE Transactions on Neural Systems and Rehabilitation Engineering , volume=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models European conference on computer vision , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models 2025 International Conference On Rehabilitation Robotics (ICORR) , pages=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models IEEE Transactions on Neural Systems and Rehabilitation Engineering , volume=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Advances in Neural Information Processing Systems , volume=
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models A Short Note on the Kinetics-700 Human Action Dataset
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FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models Unresolved cited work
Reference 54
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Reference 57
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