Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:27:10.567596Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2411.10745.
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 2026-08-12T19:27:10.567596Z
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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
81 of 81 outbound references displayed
External citation measurements
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Language Models are Few-Shot Learners
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Ske2grid: Skeleton-to-grid representation learning for action recognition
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition A simple framework for contrastive learning of visual representations
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Channel-wise topology refinement graph convolution for skeleton-based action recognition
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Text-to-image diffusion mod- els are zero shot classifiers
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Skeletr: Towards skeleton-based action recognition in the wild
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Reference 74
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Reference 75
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Hypergraph Transformer for Skeleton-based Action Recognition
Reference 76
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Reference 78
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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Part-aware unified representation of language and skele- ton for zero-shot action recognition
Reference 79
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Observation 4043dec1-a6b3-4a30-88f7-b20684cf5917 · outbound
Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Co-occurrence fea- ture learning for skeleton based action recognition using reg- ularized deep lstm networks
Reference 80
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Reference 443
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