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Paper Citation Record · LEDGER

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation

As of 17 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2508.04513.

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

pith.paper-citation-record.v1
2508.04513 v1

Coverage vector

measured 76 of 76 reference resolution

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measured 76 of 76 standing notices

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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

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Source: cited_works

Reference resolution

76 of 76 outbound references displayed

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External citation measurements

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Outbound references

Observation d16b158b-2767-4b15-9601-97c39648cb76 · outbound

This paper cites Motion segmentation via generalized curvatures.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Motion segmentation via generalized curvatures

Reference 1

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Observation 5f8f9eda-43aa-43a1-8194-d33dd3f721db · outbound

This paper cites Segmenting motion capture data into distinct behaviors.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Segmenting motion capture data into distinct behaviors

Reference 2

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Observation aa0fce83-fc1e-449f-bbc2-e4c65980c48f · outbound

This paper cites Unified fully and timestamp supervised temporal action segmentation via sequence to se- quence translation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unified fully and timestamp supervised temporal action segmentation via sequence to se- quence translation

Reference 3

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Observation 1722554a-8fb4-45f9-adb6-a711d7c25fcc · outbound

This paper cites Leveraging triplet loss for unsupervised action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Leveraging triplet loss for unsupervised action segmentation

Reference 4

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Observation 4ae19680-8fb5-48f5-9d05-f949be81d78a · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Deep clustering for unsupervised learning of visual features

Reference 5

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Observation c720f231-31dd-4d55-8b1c-ecf232a334b6 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised learning of visual features by contrasting cluster assignments

Reference 6

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Observation 13d1c295-f78a-4e42-abae-bb1f5d2c1e09 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Emerg- ing properties in self-supervised vision transformers

Reference 7

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Observation 8e58cff9-675e-4785-840c-385fb86eeb48 · outbound

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

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation A simple framework for contrastive learning of visual representations

Reference 8

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Observation d856dbd1-2c3d-4d3d-9e10-9824c739a5ae · outbound

This paper cites Hugadb: Hu- man gait database for activity recognition from wearable in- ertial sensor networks.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Hugadb: Hu- man gait database for activity recognition from wearable in- ertial sensor networks

Reference 9

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Observation 5a15ac3a-09fa-4510-b564-0da7c779605d · outbound

This paper cites Tempo- ral action segmentation: An analysis of modern techniques.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Tempo- ral action segmentation: An analysis of modern techniques

Reference 10

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Observation 503d4af8-9ab7-4027-b588-6f8c41cc1d12 · outbound

This paper cites Fast and unsupervised action boundary detection for action seg- mentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Fast and unsupervised action boundary detection for action seg- mentation

Reference 11

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Observation 571e539c-e85c-4087-98e8-05778a256417 · outbound

This paper cites Ms-tcn: Multi-stage temporal convolutional network for action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Ms-tcn: Multi-stage temporal convolutional network for action segmentation

Reference 12

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Observation 136d90a3-e626-47cf-91b6-dc09c4076871 · outbound

This paper cites Masked autoencoders as spatiotemporal learners.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Masked autoencoders as spatiotemporal learners

Reference 13

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Observation a9538a48-8589-4347-93fb-f4a0a64f3eac · outbound

This paper cites Skeleton-based action segmentation with multi-stage spatial- temporal graph convolutional neural networks.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Skeleton-based action segmentation with multi-stage spatial- temporal graph convolutional neural networks

Reference 14

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Observation aaf8fe8c-e2b1-4cf9-8f11-e20679730ca4 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Bootstrap your own latent-a new approach to self-supervised learning

Reference 15

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Observation 21a79105-05c4-49b9-ad53-1aa313d16f76 · outbound

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

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Contrastive learning from ex- tremely augmented skeleton sequences for self-supervised action recognition

Reference 16

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Observation f729a415-b0fd-48ae-b98b-88b5bf0d358c · outbound

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

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Momentum contrast for unsupervised visual rep- resentation learning

Reference 17

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Observation 811b2ed7-e32c-429c-8775-bb44ae610d4a · outbound

This paper cites Masked autoencoders are scalable vision learners.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Masked autoencoders are scalable vision learners

Reference 18

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Observation 8d3c97a2-3983-4b02-9bbb-69731f132564 · outbound

This paper cites Deep-aligned convolutional neural network for skeleton- based action recognition and segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Deep-aligned convolutional neural network for skeleton- based action recognition and segmentation

Reference 19

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Observation fec49965-0784-4feb-9819-1392aa0e6380 · outbound

This paper cites Improving action segmentation via graph-based temporal reasoning.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Improving action segmentation via graph-based temporal reasoning

Reference 20

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Observation d9538343-da2c-44ce-a282-49105fcced6f · outbound

This paper cites Language-assisted skeleton action understanding for skeleton-based temporal action seg- mentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Language-assisted skeleton action understanding for skeleton-based temporal action seg- mentation

Reference 21

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Observation 9df9eec7-cd21-43b6-9258-c0fd6b74492f · outbound

This paper cites Kipf and Max Welling.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Kipf and Max Welling

Reference 22

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Observation d9440b9d-927c-4a17-8e59-72c42c3df537 · outbound

This paper cites Efficient unsupervised temporal segmentation of motion data.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Efficient unsupervised temporal segmentation of motion data

Reference 23

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Observation 511e93a5-2a22-4fb0-b531-de73eef8e1a3 · outbound

This paper cites An end-to- end generative framework for video segmentation and recog- nition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation An end-to- end generative framework for video segmentation and recog- nition

Reference 24

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Observation e88e89be-71a1-4e0e-8420-3213ab3798de · outbound

This paper cites A hy- brid rnn-hmm approach for weakly supervised temporal ac- tion segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation A hy- brid rnn-hmm approach for weakly supervised temporal ac- tion segmentation

Reference 25

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Observation 37d24c9a-a565-4ca7-836c-647140a5df2a · outbound

This paper cites Unsupervised learning of action classes with continu- ous temporal embedding.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised learning of action classes with continu- ous temporal embedding

Reference 26

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Observation d0da3344-70fb-4bbe-9042-eccf193c7d67 · outbound

This paper cites Unsupervised action segmentation by joint representation learning and on- line clustering.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised action segmentation by joint representation learning and on- line clustering

Reference 27

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Observation 954187f2-9f19-49c5-8275-8bb0d7dfa6c3 · outbound

This paper cites Segmental spatiotemporal cnns for fine-grained action seg- mentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Segmental spatiotemporal cnns for fine-grained action seg- mentation

Reference 28

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Observation 2790b0e1-ca4f-4754-8d9d-445b18966a50 · outbound

This paper cites Temporal convolutional networks for action segmentation and detection.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Temporal convolutional networks for action segmentation and detection

Reference 29

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Observation da255a2e-a147-4389-a632-6d4b53f6fac4 · outbound

This paper cites Action shuffle alternating learn- ing for unsupervised action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Action shuffle alternating learn- ing for unsupervised action segmentation

Reference 30

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Observation 38871c7a-086d-4b85-9a1f-8763eb275ef8 · outbound

This paper cites 3d human action repre- sentation learning via cross-view consistency pursuit.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation 3d human action repre- sentation learning via cross-view consistency pursuit

Reference 31

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Observation a4c62d9d-056d-4034-936e-ce127a97cb2d · outbound

This paper cites Ms-tcn++: Multi-stage temporal convolu- tional network for action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Ms-tcn++: Multi-stage temporal convolu- tional network for action segmentation

Reference 32

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Observation 2943e8a8-eb7f-4637-b710-e24c59abffc2 · outbound

This paper cites A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation

Reference 33

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Observation 6966c35a-836b-4641-a382-bd4817e3bb29 · outbound

This paper cites Involving distinguished temporal graph convolu- tional networks for skeleton-based temporal action segmen- tation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Involving distinguished temporal graph convolu- tional networks for skeleton-based temporal action segmen- tation

Reference 34

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Source-reported events for the cited work

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

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Observation 5f53c203-461e-417d-a99c-13c94b1a5216 · outbound

This paper cites Ms2l: Multi-task self-supervised learning for skeleton based action recognition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Ms2l: Multi-task self-supervised learning for skeleton based action recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:23.335265Z

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 8a97efd7-eb58-4b41-9721-708ee549c2fc · outbound

This paper cites Actionlet- dependent contrastive learning for unsupervised skeleton- based action recognition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Actionlet- dependent contrastive learning for unsupervised skeleton- based action recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:23.164934Z

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=2026-08-06T00:01:13.496437Z digest=sha256:ae767b878054cb70d6cf1c94401c9a62ba730521cf4121dbab9b4a46cc7c798b

Observation 30281768-3f44-43bb-a671-5a8da69d62d8 · outbound

This paper cites Taec: Unsupervised action segmentation with temporal-aware embedding and clustering.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Taec: Unsupervised action segmentation with temporal-aware embedding and clustering

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:23.015506Z

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=2026-08-06T00:01:13.502950Z digest=sha256:145e7fd40e9cedc688e2c7982a28069bb3caa7d7297a5d6cd904cf616ef7670e

Observation 850757e7-54d3-40fb-a587-1dc2e22de20c · outbound

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

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:01:13.625984Z digest=sha256:62da313f5a8c815acfa3f6db6e59916da425eb34f9eb3fdf7899a0eb24954127

Observation 6ed8aeac-093c-40af-8299-a167a2abc47c · outbound

This paper cites Diffusion action segmenta- tion.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Diffusion action segmenta- tion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:22.882801Z

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 0c4237db-fcd1-4f0a-8817-1855ca03a3b9 · outbound

This paper cites Spatial focus attention for fine-grained skeleton-based action tasks.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Spatial focus attention for fine-grained skeleton-based action tasks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:22.732616Z

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=2026-08-06T00:01:13.849542Z digest=sha256:0d8beaf2ff578f1bc8ddf215d0e12f535cae7c53504d95872a2938ece52df664

Observation ba918f44-bcc7-447c-8d80-f6ff13200608 · outbound

This paper cites an unresolved cited work.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:01:22.573032Z

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=2026-08-06T00:01:13.942599Z digest=sha256:cdeeaa27803c0f7e8e5c6398c05d60d79374f6b248f0de0fb9dd17f36c371439

Observation 76e9048b-72ab-4404-b0a1-cf0018aff4bb · outbound

This paper cites FACT: Frame-action cross- attention temporal modeling for efficient supervised action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation FACT: Frame-action cross- attention temporal modeling for efficient supervised action segmentation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:22.450782Z

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=2026-08-06T00:01:14.041459Z digest=sha256:b87ffbe04fc528afb98d70a5cb160db85d817bec450a3c52a1e1fe785e3c1173

Observation fa361e84-dc62-4376-abee-efbe24beaf7e · outbound

This paper cites Fine-grained unsu- pervised temporal action segmentation and distributed repre- sentation for skeleton-based human motion analysis.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Fine-grained unsu- pervised temporal action segmentation and distributed repre- sentation for skeleton-based human motion analysis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:22.304287Z

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=2026-08-06T00:01:14.119204Z digest=sha256:da7a926f138a828efde89583b2e6a27f7c9e47375d580b7dfd09ffb6117161ff

Observation d6246314-b315-4539-b487-0db1a837cd95 · outbound

This paper cites Troje, Ger- ard Pons-Moll, and Michael J.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Troje, Ger- ard Pons-Moll, and Michael J

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:22.167753Z

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=2026-08-06T00:01:14.221904Z digest=sha256:e1508cf949e00375a081f1d467fcf77462d09333cd620d6dec9b78ac9da77427

Observation b9908995-2e42-44b2-b309-dedefce2e06b · outbound

This paper cites Lara: Creating a dataset for human activity recognition in logistics using semantic attributes.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Lara: Creating a dataset for human activity recognition in logistics using semantic attributes

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:21.995917Z

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=2026-08-06T00:01:14.332580Z digest=sha256:37cc9fbddb8b2561b23f5e242a2e5f1e9823f7ee45a1ca65b0a00f8ad5848a4a

Observation dbe9a53e-7195-4d4e-b26b-c24b03ef3b4a · outbound

This paper cites Unsupervised human action recognition with skeletal graph laplacian and self-supervised viewpoints 10 invariance.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised human action recognition with skeletal graph laplacian and self-supervised viewpoints 10 invariance

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:21.772330Z

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=2026-08-06T00:01:14.438156Z digest=sha256:577848bf266f30847f608c34add075f6cba278f0bf20c88ba136a5d06382fd25

Observation 3dcd73ff-c1db-41d0-bc9d-e6059284f457 · outbound

This paper cites Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:21.554273Z

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=2026-08-06T00:01:14.491122Z digest=sha256:e80dd7f40b63a6e91a2c6ac9d6487a50acf49b5be853306f83bfb71e03e1a787

Observation 3ba1d126-d542-4bfc-ac69-95f8861175eb · outbound

This paper cites Effi- cient parameter-free clustering using first neighbor relations.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Effi- cient parameter-free clustering using first neighbor relations

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:21.358817Z

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=2026-08-06T00:01:14.572078Z digest=sha256:8bce5056629d65f55d7c024c49ac0c68e07a1ed787ab8a8761857ba732fa63bb

Observation e4510aca-87a5-4050-b12e-2196ce1e179a · outbound

This paper cites Temporally-weighted hierarchical clustering for unsupervised action segmenta- tion.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Temporally-weighted hierarchical clustering for unsupervised action segmenta- tion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:21.155386Z

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=2026-08-06T00:01:14.584363Z digest=sha256:32f8923395bd9a2a2947ff641f6a5d9b7d09a14a6472434c51ae3b5dfafa88ef

Observation 58cb0600-0d5a-4df2-a52e-3cf0e553b0b5 · outbound

This paper cites Motion words: a text-like representation of 3d skeleton sequences.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Motion words: a text-like representation of 3d skeleton sequences

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.967459Z

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=2026-08-06T00:01:14.587119Z digest=sha256:3c637d9f4d90a1d8fa5c7868d23882a3e45508fc48a82c80c789051d976a7b9d

Observation be2a1216-76c4-41fe-b73d-23934c1c3ce1 · outbound

This paper cites Unsupervised learning and segmentation of complex activities from video.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised learning and segmentation of complex activities from video

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.763362Z

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=2026-08-06T00:01:14.630048Z digest=sha256:8dfeedad69f259f72b025fda177fec30ab3da06ef6378c4467830abd93b6cb39

Observation bc012fd3-3ddc-4d7e-a68d-1c610cbd1d68 · outbound

This paper cites Hierarchical vector quantization for unsuper- vised action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Hierarchical vector quantization for unsuper- vised action segmentation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.576569Z

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=2026-08-06T00:01:14.699648Z digest=sha256:4f264d349b344ff94aa401fe8760c12401635083813da0c482502086a7547b1d

Observation b0047713-f89e-4d2b-b69e-c9ef20120565 · outbound

This paper cites Elucidating the hierarchical nature of be- havior with masked autoencoders.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Elucidating the hierarchical nature of be- havior with masked autoencoders

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.430997Z

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=2026-08-06T00:01:14.820205Z digest=sha256:36c38c53360fdb4d39d3dfdca692962d6ecb7c44624796f43b07e946ef8be9ca

Observation 95e4490e-4ce2-4504-94ba-072b91d5a00e · outbound

This paper cites Predict & cluster: Unsupervised skeleton based action recognition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Predict & cluster: Unsupervised skeleton based action recognition

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.271964Z

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=2026-08-06T00:01:14.915170Z digest=sha256:5c215cd43ee88a426e0b58b95deb7d6ab1ff17a73038a32806a0b0bbbcf8bd46

Observation 7fca46b3-3598-403e-8c01-77eb856803b4 · outbound

This paper cites Hierarchical spatial-temporal network for skeleton-based temporal action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Hierarchical spatial-temporal network for skeleton-based temporal action segmentation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:20.091791Z

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=2026-08-06T00:01:14.980965Z digest=sha256:0a1860d5f68293218950a329d37d989a58130bdecf20d4ba34f18ad092112354

Observation cc27d758-5c09-4a7f-bacd-2d54fbf7a4f7 · outbound

This paper cites Tslearn, a machine learning toolkit for time series data.Jour- nal of Machine Learning Research (JMLR) , 21(118):1–6,.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Tslearn, a machine learning toolkit for time series data.Jour- nal of Machine Learning Research (JMLR) , 21(118):1–6,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:19.917875Z

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=2026-08-06T00:01:15.025533Z digest=sha256:0e1f68dd803e3584f6845c5f694560287244d9fca11172c63db14a958720c1be

Observation db2f57f8-9ae0-48d5-bf62-d36f9f7d9a75 · outbound

This paper cites Stga-net: Spatial-temporal graph attention network for skeleton-based temporal action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Stga-net: Spatial-temporal graph attention network for skeleton-based temporal action segmentation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:19.760519Z

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=2026-08-06T00:01:15.118588Z digest=sha256:6cfeee2547c2ea2d4e7524fe9cee06af22eaa239a15c4bd69e167c79142bd5b0

Observation c282489a-53d4-4f20-ab5d-56688531b218 · outbound

This paper cites Spatial-temporal graph transformer network for skeleton-based temporal action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Spatial-temporal graph transformer network for skeleton-based temporal action segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:19.567196Z

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=2026-08-06T00:01:15.121460Z digest=sha256:8e87ce03d208eb54f2417c9d30737822510a7f43690080b8dc7e60706bece3e8

Observation 4ef21c10-72d0-440f-ab57-60f95e8f51ae · outbound

This paper cites Permutation-aware activity segmentation via unsuper- vised frame-to-segment alignment.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Permutation-aware activity segmentation via unsuper- vised frame-to-segment alignment

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:19.353303Z

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=2026-08-06T00:01:15.152765Z digest=sha256:c0e7657110af4a3aa1e8c1dd9a4e9af3d877849d709b80bb6d267764f5d97b5e

Observation 354e0ac7-175c-40bd-b7f2-b0613cd3ad1c · outbound

This paper cites Neural discrete representation learning.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Neural discrete representation learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:19.185795Z

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=2026-08-06T00:01:15.194277Z digest=sha256:b6e75dcf05cbf74e44c06c6c64dfd9c459a1f204dde6952f074dacf2d8eb298c

Observation 13374844-530d-41c3-9c5d-e7e1c111383c · outbound

This paper cites Efficient unsupervised temporal segmentation of human motion.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Efficient unsupervised temporal segmentation of human motion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.990556Z

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=2026-08-06T00:01:15.247292Z digest=sha256:cb6bafa913467b27d60a1856081f8be8f81eb4c5b0ca18dd8f49933a5e004513

Observation a5414b78-7d15-40cb-97e2-70ff99a427da · outbound

This paper cites Unsupervised temporal segmentation of repetitive human ac- tions based on kinematic modeling and frequency analysis.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised temporal segmentation of repetitive human ac- tions based on kinematic modeling and frequency analysis

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.806111Z

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=2026-08-06T00:01:15.309521Z digest=sha256:fca5a8bdf5bfb705bb55913200222439c41b4f9a7d8fc04c1af5585289808f6b

Observation 3c680442-06a4-4be0-a7ca-201cb9673812 · outbound

This paper cites An efficient framework for few-shot skeleton-based temporal ac- tion segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation An efficient framework for few-shot skeleton-based temporal ac- tion segmentation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.589190Z

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=2026-08-06T00:01:15.384405Z digest=sha256:7a5ab301a0eb3dd1c7d146fda601c8b854bf70aac2067251cfcabebf57289f9d

Observation 96410b3e-f772-49c6-b86c-8de52f85fe87 · outbound

This paper cites Temporally consistent unbal- anced optimal transport for unsupervised action segmenta- tion.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Temporally consistent unbal- anced optimal transport for unsupervised action segmenta- tion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.343812Z

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=2026-08-06T00:01:15.465559Z digest=sha256:cbf733370e8f366b623ff2745467c5c151e5cb15c5ebb4cfc15252d2d4e83ea5

Observation 27013c3d-22a9-4ecc-ab34-bf1fc973be9b · outbound

This paper cites Unsupervised motion representation learning with capsule autoencoders.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised motion representation learning with capsule autoencoders

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.230244Z

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=2026-08-06T00:01:15.558330Z digest=sha256:b667fee6cad31173571dfe1e88ba5ae4658c69407f3d3327f79a7c126d2f2831

Observation 3a0a8292-0d3c-4fa6-a973-9c8d00b1b635 · outbound

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

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:18.075019Z

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=2026-08-06T00:01:15.653584Z digest=sha256:e65a5f1a8e94f34086f2cf030144a85e88a0320fc327125288044ae76602ee07

Observation c2c48333-c907-4e34-8dba-5b9e42a87e8c · outbound

This paper cites Lac-latent action composition for skeleton-based ac- tion segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Lac-latent action composition for skeleton-based ac- tion segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.924901Z

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=2026-08-06T00:01:15.780186Z digest=sha256:5739adaaf3994f22c1813155e0c55314accdf56e9824616f517e01cab2b6d961

Observation 0ba3f752-9618-453b-ba74-ab4f77e7275d · outbound

This paper cites ASFormer: Transformer for action segmentation.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation ASFormer: Transformer for action segmentation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.810534Z

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=2026-08-06T00:01:15.792132Z digest=sha256:8f6866d849989c4b15c569849ea75f49955127d4cd7cd0c3bb98934bcfefd4eb

Observation 1512f5c7-d77c-4896-a33c-311554115fd8 · outbound

This paper cites Frame-level label refinement for skeleton-based weakly-supervised action recognition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Frame-level label refinement for skeleton-based weakly-supervised action recognition

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.632369Z

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 ee6467f7-7a84-4ddd-baf1-b523b60166ab · outbound

This paper cites Contrastive positive mining for unsupervised 3d action representation learning.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Contrastive positive mining for unsupervised 3d action representation learning

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.518077Z

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=2026-08-06T00:01:16.002912Z digest=sha256:bf3268c35f317da20bc881db66be038e4cb82b6039d2da7f6eb781958706b088

Observation 6df8f0ec-3416-4963-a52c-38256b5e8bad · outbound

This paper cites Unsupervised representation learning with long-term dynamics for skeleton based action recognition.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unsupervised representation learning with long-term dynamics for skeleton based action recognition

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.367864Z

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=2026-08-06T00:01:16.132858Z digest=sha256:df9113ca2dc949542c68d70255e2d92c39b877a14e28cddfef55d33e658a1427

Observation befe1904-9c18-4fcc-b510-4ba20f1b32a8 · outbound

This paper cites an unresolved cited work.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:01:17.226170Z

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=2026-08-06T00:01:16.240225Z digest=sha256:4fe01ca58fc253eae7f429c955398140e918c3ad2b12c9922ee1c5225c9f8053

Observation a7584619-4a5a-4fee-98ea-8c52fb5c22f5 · outbound

This paper cites Hierarchical aligned cluster analysis for temporal clustering of human motion.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Hierarchical aligned cluster analysis for temporal clustering of human motion

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:01:17.110028Z

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=2026-08-06T00:01:16.299863Z digest=sha256:a8382479137b230c2fa98a542fdd2de922061649a91e1f02b3da9370908ef2cd

Observation 8b0d9251-6714-4a2b-b353-ec89afdaae5f · outbound

This paper cites an unresolved cited work.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:01:16.935653Z

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=2026-08-06T00:01:16.355793Z digest=sha256:3bcb5498a7dfe63f17ed8a360ebb206f05ac0fb49e6d2a4e9de4a37ce158c84a

Observation fda51a38-426a-4c99-8b47-ca526f285288 · outbound

This paper cites Each sequence lasts approximately 1 to 2 minutes and includes around 7 action instances.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Each sequence lasts approximately 1 to 2 minutes and includes around 7 action instances

Reference 75

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:01:16.806796Z

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=2026-08-06T00:01:16.421782Z digest=sha256:756640a60375b4bb5e0d4fce37474bae04895080451ce3508df9d99cfc84eadd

Observation e8692f78-2124-4cc7-8b6e-a4052b196b18 · outbound

This paper cites an unresolved cited work.

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation Unresolved cited work

Reference 76

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:01:16.678523Z

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=2026-08-06T00:01:16.502462Z digest=sha256:effe1871022fc993a42077289263a7d4ece52c2437cf30a97978c979dd3fd837

Pith citing papers

No inbound Pith citation observations are available.