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Paper Citation Record · LEDGER

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios

As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.18048.

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

pith.paper-citation-record.v1
2505.18048 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:15.638435Z

measured 58 of 58 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact3
  • verified fuzzy46
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 945d6a66-7f32-4947-8f7a-ffb3b65eee96 · outbound

This paper cites Computer-Vision-Oriented Adaptive Sampling In Compressive Sensing,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Computer-Vision-Oriented Adaptive Sampling In Compressive Sensing,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:26.433348Z

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.

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Observation 50f38215-0617-439c-af37-2fa1305a17f0 · outbound

This paper cites Image And Video Compression With Neural Networks: A Review,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Image And Video Compression With Neural Networks: A Review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:26.194928Z

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.

source=pdf_text observed=2026-08-07T14:40:10.889292Z digest=sha256:6ca382eac2fdbefef1fc6f0ac59d81711183765fdf40fb6b9e2383af9281efd5

Observation f467b999-2a2a-4db2-a1d8-28ee5bbc9df1 · outbound

This paper cites A Survey Of Methods For Low-Power Deep Learning And Computer Vision,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios A Survey Of Methods For Low-Power Deep Learning And Computer Vision,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.976808Z

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.

source=pdf_text observed=2026-08-07T14:40:10.950525Z digest=sha256:067478facc863d793af1cdf8c180acd75d7850b78cd1b7ffb3958c7cafa03523

Observation 9c694c09-479b-430f-b125-61574c74333c · outbound

This paper cites Hardware Faults That Matter: Understanding And Estimating The Safety Impact Of Hardware Faults On Object Detection DNNs,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Hardware Faults That Matter: Understanding And Estimating The Safety Impact Of Hardware Faults On Object Detection DNNs,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.750287Z

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.

source=pdf_text observed=2026-08-07T14:40:11.045324Z digest=sha256:0c6157bba5ac84c1b1a39e34c38feb484d28ccdab795f1f9b2ba46db131625c3

Observation 26927b17-e45f-468e-9d5e-a2dd5f769d06 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:11.120435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:11.120435Z digest=sha256:e1a5c0a0f3570c514e75b8fd6246f3cc4fe11d166fa8abb66f2b1c4fcb8525c3

Observation 1e4560d9-fdc6-47e9-a919-313333a9b47a · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:11.200915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:11.200915Z digest=sha256:8bdfa2434148cca1f9879e9f1bb5f91ddd0ee69953a70a016688d1d4a7fee18e

Observation 9fe64c8f-bfd9-4cee-8a6d-69c1b17e7c11 · outbound

This paper cites Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.557529Z

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.

source=pdf_text observed=2026-08-07T14:40:11.279519Z digest=sha256:1f65171f65236eaced6ad383fef8e1596d88e604409f172dc4b07038210a7efc

Observation 37175fc1-769f-41eb-b7c2-c2c933244fd3 · outbound

This paper cites JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:16.470216Z

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.

source=pdf_text observed=2026-08-07T14:40:11.335109Z digest=sha256:119b5046d44b8f9b1e8ea299167a9610383bfd3a0db35ae3e90b0422b995e11e

Observation d778be5a-909e-4ddf-9a95-33e50f7db9e7 · outbound

This paper cites Elevating Urban Surveillance: A Deep CCTV Monitoring System for Detection of Anomalous Events via Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Elevating Urban Surveillance: A Deep CCTV Monitoring System for Detection of Anomalous Events via Human Action Recognition,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.318001Z

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.

source=pdf_text observed=2026-08-07T14:40:11.392342Z digest=sha256:734f3d51016271cc21329e8a1035ede236632064df823a7a580e02a55b026085

Observation 67ba86c7-08ad-4bf4-abf7-b1cbc088bc14 · outbound

This paper cites Human Activity Recognition (HAR) in Healthcare,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Human Activity Recognition (HAR) in Healthcare,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.131166Z

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.

source=pdf_text observed=2026-08-07T14:40:11.478541Z digest=sha256:75d27d49b193888b50f4f7ac8f5bcd03a4a9b809707c3c4e3c144fd26996ef75

Observation 14eadd63-bd78-4035-8275-95419171975f · outbound

This paper cites Human Posture Estimation and Action Recognition on Fitness Behavior and Fitness,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Human Posture Estimation and Action Recognition on Fitness Behavior and Fitness,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.913265Z

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.

source=pdf_text observed=2026-08-07T14:40:11.533408Z digest=sha256:8334fc1bf2fd349c86c1074e16f4c2cd4eb95e44570f16469e6141e6e54808ff

Observation c5b71c16-2377-4fdd-b019-d980d0005645 · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.720219Z

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.

source=pdf_text observed=2026-08-07T14:40:11.633954Z digest=sha256:bdd79e1bf0d31d1172a991bbf9bcf89e2ef79632897bf6aba414eab1c46e675b

Observation 093179c0-4f9c-464b-9eb6-6ca929ef1ce3 · outbound

This paper cites CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.544430Z

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.

source=pdf_text observed=2026-08-07T14:40:11.694757Z digest=sha256:acefeeeb6847b1e042da96d547b60542503dd276914742c53f825898134acc71

Observation e78735a5-1583-43d7-a0b0-90b687aa9600 · outbound

This paper cites Smart Frame Selection for Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Smart Frame Selection for Action Recognition,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.281672Z

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.

source=pdf_text observed=2026-08-07T14:40:11.796118Z digest=sha256:285d4f57f032e8441fdad1b7c085315fabd69726731c4a89b014d9c4c583eb7a

Observation bf160051-f336-4c8a-b2d8-6983f9a173bf · outbound

This paper cites Real-Time Human Action Recognition on Embedded Platforms.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Real-Time Human Action Recognition on Embedded Platforms

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:16.243900Z

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.

source=pdf_text observed=2026-08-07T14:40:11.873526Z digest=sha256:4827a6fe66e801b1922b9a852f2b0f4299a346a7bee0bc37b98d9f386e7c3dba

Observation b7d75165-e262-40f5-a5bc-e776c42875a6 · outbound

This paper cites A Study of Frame Rate Optimisation for Action Clas- sification Inference,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios A Study of Frame Rate Optimisation for Action Clas- sification Inference,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.083375Z

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.

source=pdf_text observed=2026-08-07T14:40:11.978524Z digest=sha256:76c673a46e12b350c55fabdb33dc7b047ff87c13542aeb88fd8498868bdd2b4e

Observation 4ddcf868-a595-4fcf-bd29-512dd9d40b54 · outbound

This paper cites HMDB: A Large Video Database For Human Motion Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios HMDB: A Large Video Database For Human Motion Recognition,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.883173Z

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.

source=pdf_text observed=2026-08-07T14:40:12.059285Z digest=sha256:efd377b46aff71b21b78eac8f2a8d8e3936bf548e7074c110cc2314a07063855

Observation 31cd2d57-a595-4dd1-8fee-eba6aec04b7d · outbound

This paper cites The Kinetics Human Action Video Dataset.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios The Kinetics Human Action Video Dataset

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:12.140377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:12.140377Z digest=sha256:6dfe182bb922340970ea53c7ff460f23edfe64fcb4171413c4a9ab702cb96307

Observation beee0545-387e-49b9-b1fc-b65f72d69cba · outbound

This paper cites NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.673013Z

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.

source=pdf_text observed=2026-08-07T14:40:12.229964Z digest=sha256:387315ffcc84333f40d6a78e6bc23915f61eac0e3020fc427f822d30b4f9890b

Observation d421310a-84b3-4a37-ac49-e233db307cba · outbound

This paper cites Investigating the Impact of Frame Rate Towards Robust Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Investigating the Impact of Frame Rate Towards Robust Human Action Recognition,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.461158Z

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.

source=pdf_text observed=2026-08-07T14:40:12.322263Z digest=sha256:97d2718a388a5d17b4c1a6c8ccfa4d13cc70c8daa37af894953753cdcce8d115

Observation 2bd4121f-a391-4ef0-af69-6a8c0cfa0315 · outbound

This paper cites On the Effects of Low Video Quality in Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios On the Effects of Low Video Quality in Human Action Recognition,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.218064Z

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.

source=pdf_text observed=2026-08-07T14:40:12.382470Z digest=sha256:1949cbd3744656a60dbb361a3c60947406b519b44cebcc0891c3aa0f6102b8c3

Observation 324b6845-94b8-44c5-8b47-cfa85183b411 · outbound

This paper cites Scsampler: Sampling Salient Clips from Video for Efficient Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Scsampler: Sampling Salient Clips from Video for Efficient Action Recognition,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.993161Z

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.

source=pdf_text observed=2026-08-07T14:40:12.434602Z digest=sha256:93a9c4b312f1a3e283c5b11101a4673e92d65f9755c4fdf242d21700080cfaea

Observation 35f570e4-dbeb-4866-8f2e-533a751636cb · outbound

This paper cites Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.813305Z

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.

source=pdf_text observed=2026-08-07T14:40:12.507623Z digest=sha256:611711690366e56030e3fd2e6f1b3ba8f2f9c0035d0834cc74c857be91f78049

Observation bb764d41-a582-47b4-8e8d-5fbeb69a8da5 · outbound

This paper cites Faster Recurrent Networks for Efficient Video Classification,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Faster Recurrent Networks for Efficient Video Classification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.625608Z

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.

source=pdf_text observed=2026-08-07T14:40:12.599836Z digest=sha256:c4215251b2a2939ac517a43f3fcdd4d867bc731c4a79b9a9bb5e4f315074a564

Observation 4dc322b2-52d0-4ca5-a6b4-cdbe01e1fc32 · outbound

This paper cites Developing the Path Signature Methodology and Its Application to Landmark-Based Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Developing the Path Signature Methodology and Its Application to Landmark-Based Human Action Recognition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.436902Z

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.

source=pdf_text observed=2026-08-07T14:40:12.665898Z digest=sha256:161733cac6ec91d097eac6a591ba6d0cd7fb7bf9127e22c2bcbea4ed59d85a5f

Observation 03c211aa-729d-4805-975e-a1f76eacdecb · outbound

This paper cites Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:12.727419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:12.727419Z digest=sha256:cae66510bc37c88d343a835a7c916288100eff2da2a500c4a98e41bd8de7f397

Observation 86c5957a-7e3a-4a2d-9009-c3a615c55029 · outbound

This paper cites Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:12.837191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:12.837191Z digest=sha256:5cf58532f8aa93b758a2db8d7c187c2adc90c91590eaebe6597e4abcca3ce91e

Observation 80ba8141-3b48-48d5-b83b-a92f05b0c30d · outbound

This paper cites When Human Pose Estimation Meets Robustness: Adversarial Algorithms And Benchmarks,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios When Human Pose Estimation Meets Robustness: Adversarial Algorithms And Benchmarks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.209218Z

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.

source=pdf_text observed=2026-08-07T14:40:12.952444Z digest=sha256:a23de40ea47b143e8ca45aaf11dec909158bdf0a1585f79e37f325e83375833e

Observation dc95df87-f454-4644-b81c-036a5750ecb9 · outbound

This paper cites Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.043149Z

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.

source=pdf_text observed=2026-08-07T14:40:13.100873Z digest=sha256:183e6803c639ec7e0a7f26ada95183e8c8a60d617e51b37ed184a74c4ab203c2

Observation 8dd9a334-66b5-41d8-b29a-5603cd964319 · outbound

This paper cites Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.836228Z

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.

source=pdf_text observed=2026-08-07T14:40:13.214302Z digest=sha256:ed8474ce89288fcc82bc8047fb309820a3a1fd5aebe2e6fd496ec2a5719f087b

Observation 660e27e6-6e43-410f-8db1-861e285c7976 · outbound

This paper cites RNN Fisher Vectors for Action Recognition and Image Annotation,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios RNN Fisher Vectors for Action Recognition and Image Annotation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.664782Z

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.

source=pdf_text observed=2026-08-07T14:40:13.332398Z digest=sha256:9cd35ccc9a7cba870beb22f5ed7e9387d6ddb7922e5c5a48bf7016a3ed75dc59

Observation 116de9ff-9fda-4d8b-b0c5-3cda44389d27 · outbound

This paper cites View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.456916Z

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.

source=pdf_text observed=2026-08-07T14:40:13.492281Z digest=sha256:2e66358bc72adbca857bee72d97162a3e04e50d74b5eb5bf6695f15fe0a3f138

Observation 50b48c73-8c6c-4149-939c-47e55c8ae051 · outbound

This paper cites Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.293636Z

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.

source=pdf_text observed=2026-08-07T14:40:13.635043Z digest=sha256:64dbb5e953a518b918862c2a5018989a1cf2c5ef3b41574b8c0ec52906a8e254

Observation 435ea9b2-75d0-4c3d-bdc1-55022f6110c6 · outbound

This paper cites A Survey on 3D Skeleton-based Action Recognition Using Learning Method,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios A Survey on 3D Skeleton-based Action Recognition Using Learning Method,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.081835Z

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.

source=pdf_text observed=2026-08-07T14:40:13.726946Z digest=sha256:7be94e1051d2a77b258c919215fb84f6969c5817e7bf93af5fb38b049e6e6bc6

Observation c9dfb44c-a432-4464-8683-433b0cc2c69d · outbound

This paper cites Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.890221Z

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.

source=pdf_text observed=2026-08-07T14:40:13.782177Z digest=sha256:f06a6a87c863e389bb6cda60c9acc94ae4bc0b1064011132aba1af25087850ad

Observation cd1b83f3-d0c7-4aea-9608-7cc8499f018b · outbound

This paper cites Two-Stream Adaptive Graph Convolutional Networks for Skeleton- Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Two-Stream Adaptive Graph Convolutional Networks for Skeleton- Based Action Recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.693337Z

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.

source=pdf_text observed=2026-08-07T14:40:13.866756Z digest=sha256:06612ec7451952aae430fb863fc3b5055915e16c9f12b722eff6e11364ca6131

Observation 5d015922-913b-420e-8112-06480a490da7 · outbound

This paper cites Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.479348Z

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.

source=pdf_text observed=2026-08-07T14:40:13.929886Z digest=sha256:b5911d2aa98d551b4c42a9f68dd91fea0db9e22b095038320ab2f5b28d2c9290

Observation 07c39471-12c5-441a-80f8-60ab1e79965f · outbound

This paper cites Joint-Bone Fusion Graph Convolutional Network for Semi- Supervised Skeleton Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Joint-Bone Fusion Graph Convolutional Network for Semi- Supervised Skeleton Action Recognition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.288163Z

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.

source=pdf_text observed=2026-08-07T14:40:14.023848Z digest=sha256:57b375c696fe647a136e36618acd8e1380c375dedb196367fc5821893b3d26cf

Observation 6626d6c8-5546-488e-ab5e-8f18875d3d87 · outbound

This paper cites Skateformer: Skeletal-Temporal Transformer For Human Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Skateformer: Skeletal-Temporal Transformer For Human Action Recognition,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.119102Z

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.

source=pdf_text observed=2026-08-07T14:40:14.123203Z digest=sha256:3940df6119be875cf147e07a01b21f8f2317532c645e8e4ba4b79747c34122d6

Observation 07d699bb-9579-4a4c-ad40-9063cabf8ab0 · outbound

This paper cites Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:19.923654Z

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.

source=pdf_text observed=2026-08-07T14:40:14.204779Z digest=sha256:9bd9c349f13c5dbb2ba8e6d23629ec74040e4932d8a8612c124f5fc6624c179d

Observation 864af023-4292-49df-8bd7-541cd6c8a0c4 · outbound

This paper cites Learning Discriminative Representations for Skeleton Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Learning Discriminative Representations for Skeleton Based Action Recognition,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:19.728331Z

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.

source=pdf_text observed=2026-08-07T14:40:14.276971Z digest=sha256:2df71339527e7e94acc188a45a800b053c5ef7c461d0a05d3f8468c542fa6716

Observation f4390945-0c7c-4489-9fb3-bd53cf91b962 · outbound

This paper cites Degcn: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Degcn: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:19.551162Z

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.

source=pdf_text observed=2026-08-07T14:40:14.356030Z digest=sha256:c6ef1f123da191d72ef536103f5b1cd02ea4db25fa24ce96912d1c4262556163

Observation f90d902a-cfc1-4c38-b678-a3ade8fef395 · outbound

This paper cites GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:15.966172Z

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.

source=pdf_text observed=2026-08-07T14:40:14.413485Z digest=sha256:45eee753476aa1b9371e899d0a85819a29b4e3b6514220908c4ccd2163562157

Observation 69ab7e1b-aa15-4238-8387-11f708eb6033 · outbound

This paper cites Path Development Network with Finite-Dimensional Lie Group,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Path Development Network with Finite-Dimensional Lie Group,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:19.341636Z

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.

source=pdf_text observed=2026-08-07T14:40:14.504068Z digest=sha256:89c17c91e78c66f08281e418cd502112b18fa75327d4072cc4ef8d11ad618750

Observation cdab016d-cf7b-42ab-aee3-556ef8299e92 · outbound

This paper cites Ntu RGB+D: A Large Scale Dataset for 3D Human Activity Analysis,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Ntu RGB+D: A Large Scale Dataset for 3D Human Activity Analysis,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:19.150748Z

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.

source=pdf_text observed=2026-08-07T14:40:14.588965Z digest=sha256:dc126f4e3d47fc288e15e6ffbde591fe2fff301c1dfc11d3fd781fa81a3739b4

Observation a86f5500-6041-4ca9-8e54-f1fb06255ce1 · outbound

This paper cites Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:18.922635Z

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.

source=pdf_text observed=2026-08-07T14:40:14.659927Z digest=sha256:2caa984706e9288e2cf0050e89c86f3fa041d8234afc719fdbdd637547d96d53

Observation ee118547-ec27-4576-b012-f3b237feecfb · outbound

This paper cites Neural Controlled Differential Equations For Irregular Time Series,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Neural Controlled Differential Equations For Irregular Time Series,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:18.741953Z

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.

source=pdf_text observed=2026-08-07T14:40:14.746342Z digest=sha256:4a3424aef15f159d119981737a725df17c441eacaeefb41933a1da1fddf8f88a

Observation a204ee5d-c492-457a-a596-5d7a914bff5e · outbound

This paper cites Neural Rough Differential Equations For Long Time Series,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Neural Rough Differential Equations For Long Time Series,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:18.539540Z

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.

source=pdf_text observed=2026-08-07T14:40:14.864936Z digest=sha256:2f0912f5067cf4ecefda49722000f1fc73070531f411b5050b8a2cf1ef0f122b

Observation 1cee71cc-3458-475b-b2f1-72ddf96a4a5e · outbound

This paper cites Collaborative Semantic Communication For Edge Inference,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Collaborative Semantic Communication For Edge Inference,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:18.315420Z

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.

source=pdf_text observed=2026-08-07T14:40:14.922550Z digest=sha256:ab44cccfef22d4b750e85c9cb10be94d2ce8283bf9c8755d8ae0bc0dda68f755

Observation 74bc083f-9602-4b75-a573-c090f331ca77 · outbound

This paper cites Human Activity Recognition Under Partial Occlusion,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Human Activity Recognition Under Partial Occlusion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:18.149407Z

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.

source=pdf_text observed=2026-08-07T14:40:14.992919Z digest=sha256:4c34dda6fe1dc017dbd9008e200bb4bc01b173a91261e07594c34f7d04e1f2c5

Observation 896c03db-2e9e-41e5-8351-57b42f400ce6 · outbound

This paper cites Evaluating 3D Human Pose Estimation In Occluded Multi-Sensor Scenarios: Dataset And Annotation Approach,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Evaluating 3D Human Pose Estimation In Occluded Multi-Sensor Scenarios: Dataset And Annotation Approach,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:17.934983Z

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.

source=pdf_text observed=2026-08-07T14:40:15.070567Z digest=sha256:9ffb65f996e719a832b05914b7f86a37cc6aabd7ae78454ee50cb56fcf9c3b1a

Observation f4c7379e-f16b-4546-865b-9df371ca1d20 · outbound

This paper cites SmoothNet: A Plug-And-Play Network For Refining Human Poses In Videos,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios SmoothNet: A Plug-And-Play Network For Refining Human Poses In Videos,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:17.735045Z

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.

source=pdf_text observed=2026-08-07T14:40:15.158707Z digest=sha256:c7105f6bafebad36430e2915f0799775e1dd61472268b9b9aaef70be4920709b

Observation 84c2bf67-e364-4544-8240-6bccd08f752d · outbound

This paper cites an unresolved cited work.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:40:17.532133Z

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.

source=pdf_text observed=2026-08-07T14:40:15.232738Z digest=sha256:e69788853ef1d98912c7cb12172fd709b9f7647de6c582dbacb4a93159228e2d

Observation 58dd41e1-a7fc-40f8-9490-162c725cc708 · outbound

This paper cites Rough paths, Signatures and the modelling of functions on streams.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Rough paths, Signatures and the modelling of functions on streams

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:15.309052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:15.309052Z digest=sha256:6427c024439284616bb85187e8a88c5c6d24fb34f325fd47edf55e29e53e83fa

Observation 4dd3fea3-813c-48fb-89cf-38f473b01d75 · outbound

This paper cites A Primer on the Signature Method in Machine Learning,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios A Primer on the Signature Method in Machine Learning,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:15.403727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:15.403727Z digest=sha256:23c33f406724a5ab86b185814a95b77611366dd53f92b14ae3bbce494cadc594

Observation 96db3221-5e91-4697-ba12-4c7f126be041 · outbound

This paper cites LPSNet: A novel Log Path Signature Feature Based Hand Gesture Recognition Framework,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios LPSNet: A novel Log Path Signature Feature Based Hand Gesture Recognition Framework,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:17.275065Z

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.

source=pdf_text observed=2026-08-07T14:40:15.473716Z digest=sha256:b9075cd1fabedc04b5b53d3d4c08d940e7474996b3d6cde5a63bdac3620cdae1

Observation aa3a36fd-4467-4dc2-9ec0-9ac6358785a8 · outbound

This paper cites Skeleton-Based Gesture Recognition Using Several Fully Connected Layers With Path Signature Features And Temporal Transformer Module,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Skeleton-Based Gesture Recognition Using Several Fully Connected Layers With Path Signature Features And Temporal Transformer Module,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:17.050586Z

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.

source=pdf_text observed=2026-08-07T14:40:15.561025Z digest=sha256:82980aa1859033f879f93d7abca72580774f5073213f2addacfb65fbf8579726

Observation 1fcf52ac-312d-4cc5-abc6-e9c4542dffcc · outbound

This paper cites Human Action Recognition In Unconstrained Trimmed Videos Using Residual Attention Network And Joints Path Signature,.

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Human Action Recognition In Unconstrained Trimmed Videos Using Residual Attention Network And Joints Path Signature,

Reference 58

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:40:16.752769Z

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.

source=pdf_text observed=2026-08-07T14:40:15.638435Z digest=sha256:86e588c9cef2203c3d3d2b7577c9740a47cda111aeda11ffa45a343b781975c4

Pith citing papers

No inbound Pith citation observations are available.