MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment | Paper Citation Record

Observation 8c39c0f7-0679-4485-8a1e-ecfc5125ba30 · outbound

This paper cites Tsa-net: Tube self-attention network for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Tsa-net: Tube self-attention network for action quality assessment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.089652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f7bcaf49-7ff9-4776-9762-448b65040e1f · outbound

This paper cites Egcn: An ensemble-based learning framework for exploring effective skeleton- based rehabilitation exercise assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Egcn: An ensemble-based learning framework for exploring effective skeleton- based rehabilitation exercise assessment

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.091336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f30fc22a-2fad-45ca-8996-80b75f65a076 · outbound

This paper cites A decade of action quality assessment: Largest systematic survey of trends, challenges, and future directions: Hao yin et al.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment A decade of action quality assessment: Largest systematic survey of trends, challenges, and future directions: Hao yin et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.092973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ddfa4ef2-4d87-481c-9593-2bb6b57507d9 · outbound

This paper cites Uil-aqa: Uncertainty-aware clip-level interpretable action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Uil-aqa: Uncertainty-aware clip-level interpretable action quality assessment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.087880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c42140b0-346a-452b-b032-5738bdace25e · outbound

This paper cites Causality-enhanced multiple instance learning with graph convolutional networks for parkinsonian freezing-of-gait assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Causality-enhanced multiple instance learning with graph convolutional networks for parkinsonian freezing-of-gait assessment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.086140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 55759025-b3fe-4845-8a58-b849496fe222 · outbound

This paper cites Sedskill: Surgical events driven method for skill assessment from thoracoscopic surgical videos.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Sedskill: Surgical events driven method for skill assessment from thoracoscopic surgical videos

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.079150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a857e165-e4fc-474f-a377-63b4ec3e5dab · outbound

This paper cites Phi: Bridging domain shift in long-term action quality assessment via progressive hierarchical instruction.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Phi: Bridging domain shift in long-term action quality assessment via progressive hierarchical instruction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.082631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b8e52b1-33d1-4381-a21a-5df8424ae03f · outbound

This paper cites Learning semantics-guided representations for scoring figure skating.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Learning semantics-guided representations for scoring figure skating

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.080865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c5a2bbb-5d71-480f-a70e-d270059cc0dd · outbound

This paper cites Video swin transformer.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Video swin transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.063593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b23a9f2-4076-4209-8c1a-d0bf59e1dba6 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Quo vadis, action recognition? a new model and the kinetics dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.073698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 00a2788b-c7b3-4618-8572-69c5f99f2ce3 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Learning spatiotemporal features with 3d convolutional networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.068461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e5de6837-ffc5-4584-95a3-32b36125fef3 · outbound

This paper cites Enhancing long-term action quality assessment: A dual-modality dataset and causal cross- modal framework for trampoline gymnastics.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Enhancing long-term action quality assessment: A dual-modality dataset and causal cross- modal framework for trampoline gymnastics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.045570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6907ffe-7c0f-4748-9bae-50e43c63e504 · outbound

This paper cites Hierarchical graph convolutional networks for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Hierarchical graph convolutional networks for action quality assessment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.043877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5e9fee57-84c3-45c2-b4ae-6632c0070113 · outbound

This paper cites Action assessment by joint relation graphs.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Action assessment by joint relation graphs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.014574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1f8fd51b-f446-4008-9d68-3168c1656c96 · outbound

This paper cites Adaptive spatiotemporal graph transformer network for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Adaptive spatiotemporal graph transformer network for action quality assessment

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.016149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3bc0ae3b-ed9f-4d9f-88e9-370f9e2671ec · outbound

This paper cites Language-guided audio-visual learning for long-term sports assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Language-guided audio-visual learning for long-term sports assessment

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.039078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 60736842-e327-43cc-9643-d31db6887bcd · outbound

This paper cites Nar- rative action evaluation with prompt-guided multimodal interaction.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Nar- rative action evaluation with prompt-guided multimodal interaction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.025776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 70aff438-8325-4f05-9a37-78fdfa7e3fa1 · outbound

This paper cites Vision- language action knowledge learning for semantic-aware action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Vision- language action knowledge learning for semantic-aware action quality assessment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.037401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d26353d2-0deb-472e-9d8c-4019e4263ab0 · outbound

This paper cites Skating-mixer: Long-term sport audio-visual modeling with mlps.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Skating-mixer: Long-term sport audio-visual modeling with mlps

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.034126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd57c6ab-6de1-44d5-a0f5-91afbb8b6a30 · outbound

This paper cites Multimodal action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Multimodal action quality assessment

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.017723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ebcac11e-9dc4-489f-8917-d9d42f96c055 · outbound

This paper cites Techcoach: Towards technical-point-aware descriptive action coach- ing.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Techcoach: Towards technical-point-aware descriptive action coach- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.035756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cd23d441-373b-4f4b-9813-e2505365da3c · outbound

This paper cites From beats to scores: A multi-modal framework for comprehensive figure skating assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment From beats to scores: A multi-modal framework for comprehensive figure skating assessment

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.040742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2161fe66-a7e9-4ebd-9b6c-3ea65c693c4c · outbound

This paper cites The pros and cons: Rank-aware temporal attention for skill determination in long videos.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment The pros and cons: Rank-aware temporal attention for skill determination in long videos

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.042290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 37663e39-095c-4bef-96b8-4fb54b2b9ce3 · outbound

This paper cites Magr: Manifold-aligned graph regularization for continual action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Magr: Manifold-aligned graph regularization for continual action quality assessment

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.047219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7000bb2b-c6c2-4ba3-8670-7fda481122dd · outbound

This paper cites What and how well you performed? a multitask learning approach to action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment What and how well you performed? a multitask learning approach to action quality assessment

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.019336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 57b1be7c-c638-4246-8820-16e5c8167e92 · outbound

This paper cites Human-centric fine-grained action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Human-centric fine-grained action quality assessment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.022596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6747189a-57e4-411d-8c9a-a12ac5a570a3 · outbound

This paper cites Group-aware contrastive regression for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Group-aware contrastive regression for action quality assessment

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.024179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc9e5300-8ebb-4644-a823-a1e10d7212e3 · outbound

This paper cites Pairwise contrastive learning network for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Pairwise contrastive learning network for action quality assessment

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.028982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ae9a53e-417d-4c5d-bafd-089147ff359e · outbound

This paper cites Finediving: A fine- grained dataset for procedure-aware action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Finediving: A fine- grained dataset for procedure-aware action quality assessment

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.032463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0be0d6ed-d26c-4d75-b273-8559818b846d · outbound

This paper cites Action quality assessment with temporal parsing transformer.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Action quality assessment with temporal parsing transformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.027340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f56d253-ee33-4564-9d2a-15578041a36b · outbound

This paper cites Likert scoring with grade decoupling for long-term action assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Likert scoring with grade decoupling for long-term action assessment

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.030734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 827247ad-26f2-4551-84a4-002f797cb1cc · outbound

This paper cites Localization- assisted uncertainty score disentanglement network for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Localization- assisted uncertainty score disentanglement network for action quality assessment

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.020988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 996accf9-2b20-461d-b66a-200b2dc2e329 · outbound

This paper cites Cofinal: Enhancing action quality assessment with coarse-to-fine instruction alignment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Cofinal: Enhancing action quality assessment with coarse-to-fine instruction alignment

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.048999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7bac4e6-2ea7-4b58-958f-dc1128d51a35 · outbound

This paper cites Quality-guided vision- language learning for long-term action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Quality-guided vision- language learning for long-term action quality assessment

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.070247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f81a099-7381-4541-a7e8-0c4e4477b72a · outbound

This paper cites Learning long-range action repre- sentation by two-stream mamba pyramid network for figure skating assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Learning long-range action repre- sentation by two-stream mamba pyramid network for figure skating assessment

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.071956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78376c3f-15dd-4b2d-bd13-8c2f48b145c1 · outbound

This paper cites Attention-driven multimodal align- ment for long-term action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Attention-driven multimodal align- ment for long-term action quality assessment

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.077276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 426e43a0-f8ce-41f6-8459-ad0908d68427 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.060583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 717a3029-641c-4c50-8a58-319781267032 · outbound

This paper cites Language models are few-shot learners.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Language models are few-shot learners

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.062115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eef476c3-a41b-46d2-ad4f-261eaa889e53 · outbound

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

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:35:45.777939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa7f6fad-bea4-4523-8ca5-92ff9b882f40 · outbound

This paper cites Visual-semantic alignment temporal parsing for action quality assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Visual-semantic alignment temporal parsing for action quality assessment

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.055550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f82ba168-5743-45dd-ade7-2b7f0074d560 · outbound

This paper cites Rica 2: Rubric- informed, calibrated assessment of actions.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Rica 2: Rubric- informed, calibrated assessment of actions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.058950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52795b96-6833-49a3-9d45-554e68b59264 · outbound

This paper cites Hybrid dynamic-static context-aware attention network for action assessment in long videos.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Hybrid dynamic-static context-aware attention network for action assessment in long videos

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.057252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f25ae1af-39c8-4886-8104-9415737de78d · outbound

This paper cites Learning to score figure skating sport videos.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Learning to score figure skating sport videos

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.065144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2a88985-0584-48ba-a27a-3c7ddb39839f · outbound

This paper cites Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.052306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1615ff62-8f0f-45b5-88ca-ec17e943ee2e · outbound

This paper cites MSAF: Multimodal Split Attention Fusion.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment MSAF: Multimodal Split Attention Fusion

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:45.780669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f8a60d7-e8af-434b-98f2-47decbd258e1 · outbound

This paper cites Action quality assessment across multiple actions.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Action quality assessment across multiple actions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.050665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ecfdd85-84f9-4bbf-a310-de623875dee2 · outbound

This paper cites Video and accelerometer-based motion analysis for automated surgical skills assessment.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Video and accelerometer-based motion analysis for automated surgical skills assessment

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.053895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce36f806-6d6a-4147-9279-af992c73bede · outbound

This paper cites AST: Audio Spectrogram Transformer.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment AST: Audio Spectrogram Transformer

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:45.783412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05cdbaee-eed9-4135-9dc8-986db1282898 · outbound

This paper cites Audio set: An ontology and human- labeled dataset for audio events.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Audio set: An ontology and human- labeled dataset for audio events

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.066754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 85acfde2-d08b-45ab-a244-94d9dcb18a9f · outbound

This paper cites Learning to score olympic events.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Learning to score olympic events

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.075440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a51f5da5-a098-467c-bfff-d4e70150ca45 · outbound

This paper cites Joint visual and audio learning for video highlight detection.

MLCR: Multi-Level Cue Refinement for Long-Term Multimodal Action Quality Assessment Joint visual and audio learning for video highlight detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T11:53:45.084292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers