Paper Citation Record · LEDGER

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 5 inbound Pith citation observations for arXiv:2411.18941.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.18941 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:46:47.151815Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:57:02.241991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:36:26.136906Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy41
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d4c1b46-1ee6-4563-a174-15e5cfa073bb · outbound

This paper cites Learning representations by maximizing mutual information across views.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Learning representations by maximizing mutual information across views

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.577259Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be639d7f-4d8e-43a4-8421-257b0b68e0e4 · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Quo vadis, action recognition? a new model and the kinetics dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.544768Z

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Observation e4eaaa4c-2cf9-45ab-b12f-11a36ad7eda0 · outbound

This paper cites Wavelet-decoupling contrastive enhancement network for fine-grained skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Wavelet-decoupling contrastive enhancement network for fine-grained skeleton-based action recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.507691Z

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Observation 499992c6-a885-4e13-9d16-9f54f2e1f752 · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition A simple framework for contrastive learn- ing of visual representations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.475044Z

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Observation 0cca9326-707c-44fa-9a85-83e30d6b05c7 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Improved Baselines with Momentum Contrastive Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:46.804349Z

Source-reported events for the cited work

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Observation 40804663-2ba2-45ac-b4af-3c42c67250eb · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Channel-wise topology refinement graph convolution for skeleton-based action recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.445027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4f9e771-1afe-4c7d-aac4-0f2de422ae83 · outbound

This paper cites Multi-scale spatial temporal graph convolutional net- work for skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Multi-scale spatial temporal graph convolutional net- work for skeleton-based action recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.411489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 853469a6-fd90-49d8-9960-d122e20e5720 · outbound

This paper cites Decoupling gcn with dropgraph module for skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Decoupling gcn with dropgraph module for skeleton-based action recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.378391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3eaaadb-0ccc-4e6e-883b-bf5ea7ef6e16 · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition In- fogcn: Representation learning for human skeleton-based ac- tion recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.342770Z

Source-reported events for the cited work

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Observation dcccdccc-6c96-4990-9f96-78980e573fcd · outbound

This paper cites DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:46.844462Z

Source-reported events for the cited work

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Observation 8babeb61-653f-48d3-85fe-cf11e274557d · outbound

This paper cites Pyskl: Towards good practices for skeleton action recogni- tion.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Pyskl: Towards good practices for skeleton action recogni- tion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.319038Z

Source-reported events for the cited work

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Observation 3b11f845-ad9e-42db-9d90-d09f9319c361 · outbound

This paper cites Revisiting skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Revisiting skeleton-based action recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.297054Z

Source-reported events for the cited work

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Observation c5f2ab59-71ef-40d3-8dbe-56a7cb1f3975 · outbound

This paper cites Neural mechanisms for the recognition of biological movements.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Neural mechanisms for the recognition of biological movements

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.269991Z

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Observation ef8aa2c9-2762-4b06-aaab-dbb60c716823 · outbound

This paper cites Contrastive learning from ex- tremely augmented skeleton sequences for self-supervised action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Contrastive learning from ex- tremely augmented skeleton sequences for self-supervised action recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.231031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40a2c992-c87d-4cee-bac3-226dae4849b1 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Momentum contrast for unsupervised visual rep- resentation learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.202901Z

Source-reported events for the cited work

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Observation fb84def6-a86c-4ea2-b4e8-98a4b71c1855 · outbound

This paper cites Graph Contrastive Learning for Skeleton-based Action Recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Graph Contrastive Learning for Skeleton-based Action Recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:46.892515Z

Source-reported events for the cited work

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Observation 9d2d4d4a-cd1f-4c1f-a008-d0511d3f86b8 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition The Kinetics Human Action Video Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:46.900794Z

Source-reported events for the cited work

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Observation aca12bbd-c21d-46c0-96c2-766070930ee7 · outbound

This paper cites Towards to-at spatio-temporal focus for skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Towards to-at spatio-temporal focus for skeleton-based action recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.177026Z

Source-reported events for the cited work

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Observation 9fc49369-4cdf-43a1-95c8-438c9bcc0790 · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Hierarchically decomposed graph convolutional net- works for skeleton-based action recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.141426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56cdc938-cda8-4ea6-91ba-c28f1a6ee0dc · outbound

This paper cites Unsupervised video object seg- mentation via prototype memory network.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Unsupervised video object seg- mentation via prototype memory network

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.115169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33458191-5ccb-4648-a4a3-c83f8f1d5491 · outbound

This paper cites 3d human action rep- resentation learning via cross-view consistency pursuit.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition 3d human action rep- resentation learning via cross-view consistency pursuit

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.077133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf14dde7-950b-45df-a808-c2e583be3b38 · outbound

This paper cites Actional-structural graph convolutional networks for skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Actional-structural graph convolutional networks for skeleton-based action recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.047183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76faf114-4a69-4555-8fba-6c47b2191a28 · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Tsm: Temporal shift module for efficient video understanding

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:48.017174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2baa4e0e-3cb2-4a1b-9cfc-c59c766b9b2c · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Ntu rgb+ d 120: A large- scale benchmark for 3d human activity understanding

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.995518Z

Source-reported events for the cited work

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Observation b97e59ea-14df-47ca-86a5-f5821d42d159 · outbound

This paper cites Disentangling and unifying graph con- volutions for skeleton-based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Disentangling and unifying graph con- volutions for skeleton-based action recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.964541Z

Source-reported events for the cited work

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Observation 1c74ad19-9fdb-4630-a4fc-2d027e9e077b · outbound

This paper cites Hopfield Networks is All You Need.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Hopfield Networks is All You Need

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:46.986616Z

Source-reported events for the cited work

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Observation 32072ff4-873e-4cea-97ca-7bf0bcabbf58 · outbound

This paper cites Halp: Hal- lucinating latent positives for skeleton-based self-supervised learning of actions.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Halp: Hal- lucinating latent positives for skeleton-based self-supervised learning of actions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.932337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0571933c-a553-4c2e-b654-38b6de59ba6e · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Ntu rgb+ d: A large scale dataset for 3d human activity anal- ysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.905613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 712fc872-5f8a-4a1c-94b8-fcc9993572b0 · outbound

This paper cites Finegym: A hierarchical video dataset for fine-grained action understand- ing.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Finegym: A hierarchical video dataset for fine-grained action understand- ing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.880305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d5057f2-224b-4051-a964-a3a08eec57ea · outbound

This paper cites Two- stream adaptive graph convolutional networks for skeleton- based action recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Two- stream adaptive graph convolutional networks for skeleton- based action recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.852888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f277ca9c-a59a-4c7c-8d7a-91450ab40cf5 · outbound

This paper cites Human problem solv- ing: The state of the theory in 1970.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Human problem solv- ing: The state of the theory in 1970

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.822657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81b00dc3-6f3a-426f-ae27-31d48d4cd050 · outbound

This paper cites Prototypical networks for few-shot learning.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Prototypical networks for few-shot learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.794255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 027301a5-3c5b-42da-8dc9-1fec220ce504 · outbound

This paper cites Con- trastive multiview coding.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Con- trastive multiview coding

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.769533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f6069a3-489b-4d34-9c93-a426fc4425e6 · outbound

This paper cites Panet: Few-shot image semantic segmenta- tion with prototype alignment.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Panet: Few-shot image semantic segmenta- tion with prototype alignment

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.735360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e164cb36-14e9-4f4b-a5ca-6e2dd020c29c · outbound

This paper cites Temporal segment networks: Towards good practices for deep action recogni- tion.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Temporal segment networks: Towards good practices for deep action recogni- tion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.708548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cea62eac-99a6-43dd-8816-cb4524c04dbd · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Generative action description prompts for skeleton-based action recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.682090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation beaebb63-3afd-4149-9d90-3d453153cb3f · outbound

This paper cites Dynamic semantic-based spa- tial graph convolution network for skeleton-based human ac- tion recognition.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Dynamic semantic-based spa- tial graph convolution network for skeleton-based human ac- tion recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.656126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59f3fd1d-1a8f-4c56-b61c-8e9dda109438 · outbound

This paper cites Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.633577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4692a93-9b2f-4833-8191-228dbc1f729f · outbound

This paper cites Skeletonmae: graph-based masked autoencoder for skeleton sequence pre-training.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Skeletonmae: graph-based masked autoencoder for skeleton sequence pre-training

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.594291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29b5dd48-ddd7-4303-b464-d642750b06aa · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.568887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8cf5f9bd-4cf2-432c-a30b-a981c3227e13 · outbound

This paper cites Prototype mixture models for few-shot semantic seg- mentation.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Prototype mixture models for few-shot semantic seg- mentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.540044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0591de9-0604-4868-afa7-bce0e4f88f89 · outbound

This paper cites Robust classification with convolutional prototype learning.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Robust classification with convolutional prototype learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.505446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18e159ac-1d17-41a6-b19a-131040745ec7 · outbound

This paper cites Prompted con- trast with masked motion modeling: Towards versatile 3d ac- tion representation learning.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Prompted con- trast with masked motion modeling: Towards versatile 3d ac- tion representation learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.482327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 538ddfbf-3323-4e0a-b6c3-3ecdd7da1fa9 · outbound

This paper cites Spatio-temporal fusion for human action recognition via joint trajectory graph.

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Spatio-temporal fusion for human action recognition via joint trajectory graph

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.439080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 933fcf62-3b76-4b31-af3c-16a65a5fceb4 · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Learn- ing discriminative representations for skeleton based action recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.402525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5a18194-9c85-45bf-b452-4013ddc78cdd · outbound

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

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Blockgcn: Redefine topology aware- ness for skeleton-based action recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:46:47.381497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation ede6e86a-1038-4ef1-bbb1-601e834667e5 · inbound

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition cites this paper.

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T11:57:02.241991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a9547c-36e1-4bd4-b421-32845a5f5820 · inbound

3D Skeleton-Based Action Recognition: A Review cites this paper.

3D Skeleton-Based Action Recognition: A Review Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:36.369994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec320e8a-1c29-4690-8e06-1e57d0ddbb1e · inbound

Variational Graph Convolutional Neural Networks cites this paper.

Variational Graph Convolutional Neural Networks Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:43.658141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15504518-cf6f-49a6-9c33-572bf050d026 · inbound

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction cites this paper.

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:36:26.139560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83eed867-ec66-46bf-9482-67c15d55c730 · inbound

High-Speed Vision Improves Zero-Shot Semantic Understanding of Human Actions cites this paper.

High-Speed Vision Improves Zero-Shot Semantic Understanding of Human Actions Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:08.352172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.