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Paper Citation Record · LEDGER

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition

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.

pith.paper-citation-record.v1
2411.10745 v4

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:27:10.567596Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

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  • verified fuzzy47
  • unresolved32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7704b3b4-a5f9-4899-8f5b-f0136578395e · outbound

This paper cites Language Models are Few-Shot Learners.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Language Models are Few-Shot Learners

Reference 1

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Observation 57bca25f-7b54-4e8e-9f05-b4b62e72a253 · outbound

This paper cites Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors.

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

Reference 2

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Observation 52a18fb2-f751-4423-86b3-f99b4bafe846 · outbound

This paper cites Ske2grid: Skeleton-to-grid representation learning for action recognition.

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

Reference 3

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Observation 0d3b9c86-d495-43e3-a580-3069e8d94e7d · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Realtime multi-person 2d pose estimation using part affinity fields

Reference 4

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Observation b5a6bfef-61bc-41ab-8e51-139506bd6b67 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

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

Reference 5

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Observation 5aa8d834-d615-40fe-b4c2-8f4eadd20542 · outbound

This paper cites Executing your commands via motion diffusion in latent space.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Executing your commands via motion diffusion in latent space

Reference 6

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Observation aedffce5-f753-4f5c-a697-d17f7d5e9ac2 · outbound

This paper cites Channel-wise topology refinement graph convolution for skeleton-based action recognition.

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

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a6fa3aa0-82cc-4ec5-8d6f-930084af9890 · outbound

This paper cites Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition.

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

Reference 8

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Observation 99e4710f-3792-498e-9c38-f5db965592c8 · outbound

This paper cites Skeleton-based action recognition with shift graph convolutional network.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Skeleton-based action recognition with shift graph convolutional network

Reference 9

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Source-reported events for the cited work

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Observation 709dcb7a-4251-4ce1-87ba-9cd5f67d8fd5 · outbound

This paper cites In- fogcn: Representation learning for human skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition In- fogcn: Representation learning for human skeleton-based action recognition

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f913a103-d905-41dd-9820-822052ba41cb · outbound

This paper cites Text-to-image diffusion mod- els are zero shot classifiers.

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

Reference 11

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Source-reported events for the cited work

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Observation e9804787-4ff1-4e6c-a217-a69907e9f2ad · outbound

This paper cites SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition.

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

Reference 12

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Observation 668de051-37f6-4865-8126-59f48ff282a0 · outbound

This paper cites Revisiting skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Revisiting skeleton-based action recognition

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 85e40ba6-bd3e-459e-85cb-f72d0ea50269 · outbound

This paper cites Skeletr: Towards skeleton-based action recognition in the wild.

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

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 71b5a6d7-0ef8-40c8-b30e-fc3bae665fac · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6559d3e7-ef83-457c-8900-63af1fd5f55e · outbound

This paper cites Zero-shot action recognition in videos: A survey.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Zero-shot action recognition in videos: A survey

Reference 16

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Source-reported events for the cited work

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Observation 21dceb01-d66c-4edf-987f-111cc0ce5472 · outbound

This paper cites Action detection via an image diffusion process.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Action detection via an image diffusion process

Reference 17

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Source-reported events for the cited work

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Observation 7ed21759-2957-4b59-9ee9-ecbf82798f99 · outbound

This paper cites De- vise: A deep visual-semantic embedding model.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition De- vise: A deep visual-semantic embedding model

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7d9f03c7-3821-4612-9019-796e9bc10083 · outbound

This paper cites Diffpose: Toward more reliable 3d pose estimation.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Diffpose: Toward more reliable 3d pose estimation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e0b3a5a1-d077-40a7-9e21-1d1312f9acd8 · outbound

This paper cites Syntactically guided generative embeddings for zero-shot skeleton action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Syntactically guided generative embeddings for zero-shot skeleton action recognition

Reference 20

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Observation ea05b4f9-d52e-4250-b9bc-72f41611cb75 · outbound

This paper cites Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Reference 21

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Observation 48f11fac-db59-4f18-b5ee-5c9e75110d03 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Denoising dif- fusion probabilistic models

Reference 22

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Observation aa248ae7-53ac-4e4f-bc45-34c7e457ad53 · outbound

This paper cites Deep metric learning using triplet network.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Deep metric learning using triplet network

Reference 23

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Observation 5e82b624-9bb6-4f79-8ab8-9576e64f0048 · outbound

This paper cites Diffpose: Multi- hypothesis human pose estimation using diffusion models.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Diffpose: Multi- hypothesis human pose estimation using diffusion models

Reference 24

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Source-reported events for the cited work

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Observation 08246771-9301-4af8-bd8b-f9f98d143d74 · outbound

This paper cites Stablemofusion: Towards robust and efficient diffusion-based motion generation framework.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Stablemofusion: Towards robust and efficient diffusion-based motion generation framework

Reference 25

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Source-reported events for the cited work

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Observation a7135a46-710d-4395-8213-ca800de8ee54 · outbound

This paper cites Learning robust visual-semantic embed- dings.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Learning robust visual-semantic embed- dings

Reference 26

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Observation db15281f-439b-490f-8acf-848b945750d4 · outbound

This paper cites Open clip, 2021.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Open clip, 2021

Reference 27

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Source-reported events for the cited work

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Observation ec6c86ed-9b2e-4615-86d5-4b1395b2add8 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition The Kinetics Human Action Video Dataset

Reference 28

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Observation 7be8cde1-5cdf-4bf4-94dd-dd03dc39720f · outbound

This paper cites Learning clip representations for skeleton-based 3d action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Learning clip representations for skeleton-based 3d action recognition

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cd4161ef-3761-4a4e-9727-7828cdee306a · outbound

This paper cites Auto-Encoding Variational Bayes.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Auto-Encoding Variational Bayes

Reference 30

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Observation b52ee182-1fe0-4654-829b-b52015ed9fdf · outbound

This paper cites Human action recognition and predic- tion: A survey.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Human action recognition and predic- tion: A survey

Reference 31

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Observation 8e7c4b23-b3bb-4422-a797-b6b2bf4b2750 · outbound

This paper cites Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment

Reference 32

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Observation c9c9325c-11a4-43d0-897c-21148bf6fb3a · outbound

This paper cites Leveraging spatio- temporal dependency for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Leveraging spatio- temporal dependency for skeleton-based action recognition

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T19:27:11.643816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aed33789-d544-4f81-a54c-6aad5c4f3116 · outbound

This paper cites Hierarchically decomposed graph convolutional net- works for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Hierarchically decomposed graph convolutional net- works for skeleton-based action recognition

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5e9dbe8e-f763-45e3-87bb-81b5684e4828 · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Your diffusion model is secretly a zero-shot classifier

Reference 35

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Observation e08c6b7e-c4ff-4ab6-89c3-9407c3465786 · outbound

This paper cites Multi-semantic fusion model for generalized zero-shot skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Multi-semantic fusion model for generalized zero-shot skeleton-based action recognition

Reference 36

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Observation ec6629fb-f27b-4c36-9653-ee9c13c26f81 · outbound

This paper cites Independently recurrent neural network (indrnn): Building a longer and deeper rnn.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Independently recurrent neural network (indrnn): Building a longer and deeper rnn

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 671d4382-de63-4a72-8f5e-6f2e23856341 · outbound

This paper cites SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd993fa8-5dd9-494e-a22d-f9564a9fef87 · outbound

This paper cites PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding

Reference 39

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Observation d26501a0-a505-4316-b02d-ebd625c2d086 · outbound

This paper cites Beyond-skeleton: Zero-shot skeleton action recognition enhanced by supplementary rgb visual in- formation.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Beyond-skeleton: Zero-shot skeleton action recognition enhanced by supplementary rgb visual in- formation

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90b22c1e-914c-4123-aa7e-8e5e84c21b78 · outbound

This paper cites Spatio-temporal lstm with trust gates for 3d human action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Spatio-temporal lstm with trust gates for 3d human action recognition

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c67c3928-7b9c-4339-96e7-086ce9d4b188 · outbound

This paper cites Ntu rgb+ d 120: A large- scale benchmark for 3d human activity understanding.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Ntu rgb+ d 120: A large- scale benchmark for 3d human activity understanding

Reference 42

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c9ef1e12-7364-4749-afd6-5504bc22de0c · outbound

This paper cites Disentangling and unifying graph convo- lutions for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Disentangling and unifying graph convo- lutions for skeleton-based action recognition

Reference 43

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raw_fallback, observed 2026-08-12T19:27:11.522505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.374227Z digest=sha256:f198ef312832aba7973074c1be034b074e1156750179adeb8ee49f34226d8725

Observation b5b62cb5-d7bc-499c-99ae-6f604107a50f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:27:10.380168Z digest=sha256:96a55cc5cfe0977730040e9027f637b6d5014fead7bdd599f50e2c068103cafc

Observation a60eca15-74f9-4503-b8d9-9baf8451c615 · outbound

This paper cites Decoupled Weight Decay Regularization.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Decoupled Weight Decay Regularization

Reference 45

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:27:10.385684Z digest=sha256:081ffe91e24bc10cb7e7f31944232d20495900be146d4fcdbfeac13982e308dc

Observation 9fc8de2f-6577-44a9-a750-22d3ca4931fa · outbound

This paper cites Igformer: Interaction graph transformer for skeleton-based human interaction recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Igformer: Interaction graph transformer for skeleton-based human interaction recognition

Reference 46

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Observation e3bd780d-8d0b-4281-80a3-792b824f6b0e · outbound

This paper cites Automatic differentiation in pytorch.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Automatic differentiation in pytorch

Reference 47

Resolution
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Observation 061569e2-4015-4dc6-842f-f18e354de062 · outbound

This paper cites Scalable diffusion models with transformers.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Scalable diffusion models with transformers

Reference 48

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Observation ff58c1d9-4a56-4ab7-ad74-5bd6042105e8 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Film: Visual reasoning with a general conditioning layer

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 011a4668-ecaa-4154-8a8d-48dba7ecafb6 · outbound

This paper cites 3d skeleton-based human action classification: A survey.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition 3d skeleton-based human action classification: A survey

Reference 50

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raw_fallback, observed 2026-08-12T19:27:11.444423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12949ef6-8194-4c78-b802-1550fb1b926c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Learning transferable visual models from natural language supervi- sion

Reference 51

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raw_fallback, observed 2026-08-12T19:27:11.423744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f443ed0a-d9b9-4701-9f68-e9b1eafafb2a · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition High-resolution image synthesis with latent diffusion models

Reference 52

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Observation 4d216b1b-526b-428b-96ae-ff3de39fca82 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition U- net: Convolutional networks for biomedical image segmen- tation

Reference 53

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raw_fallback, observed 2026-08-12T19:27:11.385455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.427873Z digest=sha256:c68bc9cd3533a4419f26063538d329078b20e57cc58b372a597163626e3910ac

Observation 46ba6be8-d4d6-4a1e-9c4e-c9f643ec4249 · outbound

This paper cites Generalized zero-and few-shot learning via aligned variational autoencoders.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Generalized zero-and few-shot learning via aligned variational autoencoders

Reference 54

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raw_fallback, observed 2026-08-12T19:27:11.364291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c2c361c7-6197-4c15-9b8f-261558758446 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 55

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Unavailable: canonical work link unavailable.

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Observation d58bb60c-4ab4-4b4f-9631-5c7e9136e75b · outbound

This paper cites Ntu rgb+ d: A large scale dataset for 3d human activity anal- ysis.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Ntu rgb+ d: A large scale dataset for 3d human activity anal- ysis

Reference 56

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Observation 0b34134c-1ddc-431c-920e-544241bc1509 · outbound

This paper cites Deep high-resolution representation learning for human pose es- timation.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Deep high-resolution representation learning for human pose es- timation

Reference 57

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Observation 0a7674d4-232e-4723-a0a0-7b7a3ec071aa · outbound

This paper cites Human action recog- nition from various data modalities: A review.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Human action recog- nition from various data modalities: A review

Reference 58

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raw_fallback, observed 2026-08-12T19:27:11.311287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 91d7790f-df78-444b-bfcd-ecaa25684063 · outbound

This paper cites Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion

Reference 59

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raw_fallback, observed 2026-08-12T19:27:11.294350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dc35f0df-6908-47be-9729-06139e2c64ee · outbound

This paper cites Attention is all you need.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Attention is all you need

Reference 60

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raw_fallback, observed 2026-08-12T19:27:11.273896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.464972Z digest=sha256:3ced5fe27447e77ce40437c88d79c1dbdef15b720943fcbeba0eecb79885fc51

Observation 29494870-9bda-48af-b105-b7f46e3ff652 · outbound

This paper cites Attention is all you need.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Attention is all you need

Reference 61

Resolution
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raw_fallback, observed 2026-08-12T19:27:11.249681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.470165Z digest=sha256:a21f86d6ac2b6120f3c20ebe6d174becd9650e131ccc20177b6475399d1c6b5d

Observation 11fdbc58-6701-422e-afb9-cc760a9dbb96 · outbound

This paper cites 3mformer: Multi-order multi- mode transformer for skeletal action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition 3mformer: Multi-order multi- mode transformer for skeletal action recognition

Reference 62

Resolution
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raw_fallback, observed 2026-08-12T19:27:11.225615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.475322Z digest=sha256:0d229973499c9ce3611e5e469a8d0a78cab71c22c835913a5ffd0918031d49ef

Observation 46855347-1815-4816-9fc9-fb1db85121c3 · outbound

This paper cites A comparative review of recent kinect-based action recognition algorithms.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition A comparative review of recent kinect-based action recognition algorithms

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-12T19:27:11.196727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.480328Z digest=sha256:eade7a1c7b56d93c32f6c709c2516e1a2a57a75b083e3f8778f384950f563714

Observation 80b9ea0e-e480-4581-9076-3c0a94faed04 · outbound

This paper cites A survey of zero-shot learning: Settings, methods, and appli- cations.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition A survey of zero-shot learning: Settings, methods, and appli- cations

Reference 64

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raw_fallback, observed 2026-08-12T19:27:11.165912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.485177Z digest=sha256:efcf25e1774bf6f24c5d33113cd08d6103d67bc3ba1a08fd5184908b647c1bb4

Observation dfdf57f6-d801-4f53-b749-56007372da91 · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:11.146148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.489735Z digest=sha256:66f2cc8f64b4deada11b487390bac9c1875f9f64cb3cfd6b0ce66a1a726f3e95

Observation 30ebbd71-a3ea-402e-92a8-89f736244696 · outbound

This paper cites Learning pyramid-structured long-range dependencies for 3d human pose estimation.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Learning pyramid-structured long-range dependencies for 3d human pose estimation

Reference 66

Resolution
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raw_fallback, observed 2026-08-12T19:27:11.127972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.495479Z digest=sha256:ee200b59cf5216c48dc8dcf27ec13fdc3823afa549f3416e01321b06fe03d535

Observation a3c58334-dfbe-4991-8d47-9cb75813f153 · outbound

This paper cites Fine-grained action retrieval through multiple parts- of-speech embeddings.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Fine-grained action retrieval through multiple parts- of-speech embeddings

Reference 67

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Source-reported events for the cited work

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Observation 0061451e-bb41-423b-a37e-d03339f2dd5f · outbound

This paper cites Generative action description prompts for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Generative action description prompts for skeleton-based action recognition

Reference 68

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 00f6ad30-a928-41c3-8f95-c90c3b315bc9 · outbound

This paper cites An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition

Reference 69

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Observation 3b47356e-c786-4d31-818d-2d152ec1eb0b · outbound

This paper cites Topology-aware convolutional neural network for efficient skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Topology-aware convolutional neural network for efficient skeleton-based action recognition

Reference 70

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6af8a1d7-c392-4435-b4c7-b2d6d42d14de · outbound

This paper cites Spatial tempo- ral graph convolutional networks for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 179a1de4-d284-4d19-95dc-87144c8b8b10 · outbound

This paper cites IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers

Reference 72

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6ee95ddc-4fe5-4c5e-ab4f-f6e3f6bd5cb1 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 73

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:27:10.532074Z digest=sha256:359cd2c659a2200454a52025bc2cc7aa7d1657e4c8a2ac23a510cde737f66259

Observation fe8d5baa-9bdc-4ed7-99ec-9c85b59fa986 · outbound

This paper cites View adaptive recurrent neural networks for high performance human action recog- nition from skeleton data.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition View adaptive recurrent neural networks for high performance human action recog- nition from skeleton data

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:11.010000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 41bfdca8-7054-49a6-91f1-cfd00315c4a9 · outbound

This paper cites Learn- ing discriminative representations for skeleton based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Learn- ing discriminative representations for skeleton based action recognition

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:10.986000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.542699Z digest=sha256:3d25cf33c45f22838eb48e15969c40164141561db39568b8ee9eb4d4e9fa7590

Observation b1e3a7d8-5971-464d-9559-821e2fd5025c · outbound

This paper cites Hypergraph Transformer for Skeleton-based Action Recognition.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T19:27:10.547359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:27:10.547359Z digest=sha256:7f47f76aba08d1c52408ecc396c7d1e14f022c5e69f84a9bf45efbf68e06eb79

Observation ab0450cd-cd3e-494f-adb8-fca65a65aa1b · outbound

This paper cites Zero-shot skeleton-based action recogni- tion via mutual information estimation and maximization.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Zero-shot skeleton-based action recogni- tion via mutual information estimation and maximization

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:10.962431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.552090Z digest=sha256:7bc6de91b62d0b4aed77d1d0e0a96ef39c949b0dcd5bf86a1e61ddaced2152d2

Observation 4ab524d6-da8b-483e-9b68-18dc24d61e5a · outbound

This paper cites Blockgcn: Redefine topology aware- ness for skeleton-based action recognition.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition Blockgcn: Redefine topology aware- ness for skeleton-based action recognition

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:10.939851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.557031Z digest=sha256:4fed854e326e1ab68ced0e5ebc41f2a157af6da9031e3b57af11ad6834b46316

Observation cc305c24-d733-4488-9eff-fc8decec9dac · outbound

This paper cites Part-aware unified representation of language and skele- ton for zero-shot action recognition.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:10.922631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.561830Z digest=sha256:f0d697ae2180158c34fa2fd6ea6ffd35a112e397984a22f81cbcff90a1fa24d8

Observation 4043dec1-a6b3-4a30-88f7-b20684cf5917 · outbound

This paper cites Co-occurrence fea- ture learning for skeleton based action recognition using reg- ularized deep lstm networks.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:27:10.905707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T19:27:10.567596Z digest=sha256:19d63af029883ed38c0b7e9b67bc8b121f686e78704bcee9c77adbb542046e20

Observation fea565b2-fb3c-4b1a-97ea-9ce4475bcbd4 · outbound

This paper cites 1, 2, 6, 7.

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition 1, 2, 6, 7

Reference 443

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T19:27:11.790347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.