Paper Citation Record · LEDGER

Learning Probabilistic Embeddings for Unsupervised Action Segmentation

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.05263.

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

pith.paper-citation-record.v1
2607.05263 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:28:39.214015Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation 653cef4f-346f-49ca-9eab-02845cf6c2d4 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 1

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision

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This paper cites Mathematics of computation87(314), 2563– 2609 (2018).

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Mathematics of computation87(314), 2563– 2609 (2018)

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites Journal ofthe royalstatistical society: seriesB (method- ological)39(1), 1–22 (1977).

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Journal ofthe royalstatistical society: seriesB (method- ological)39(1), 1–22 (1977)

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vi- sion and pattern recognition.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF conference on computer vi- sion and pattern recognition

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Unresolved cited work

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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This paper cites Adam: A Method for Stochastic Optimization.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Adam: A Method for Stochastic Optimization

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Auto-Encoding Variational Bayes

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Semi-Supervised Classification with Graph Convolutional Networks

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Observation 42672d4b-0bb2-4a4b-a15c-6bbf03b93630 · outbound

This paper cites Naval research logistics quarterly2(1-2), 83–97 (1955).

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Naval research logistics quarterly2(1-2), 83–97 (1955)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 230bdcb1-43c7-40cd-a597-28de2b609a97 · outbound

This paper cites Advances in Neural Information Processing Systems36, 18046–18075 (2023).

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Advances in Neural Information Processing Systems36, 18046–18075 (2023)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Modeling Uncertainty with Hedged Instance Embedding

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: International conference on machine learning

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This paper cites Engineering Applications of Artificial Intelli- gence148(2025).

Learning Probabilistic Embeddings for Unsupervised Action Segmentation Engineering Applications of Artificial Intelli- gence148(2025)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: European Conference on Computer Vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: 2021 IEEE International Conference on Image Processing (ICIP)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Notes of Course at University of Cambridge3(2018)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Advances in neural information pro- cessing systems30(2017)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation Word Representations via Gaussian Embedding

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Pro- ceedings of the IEEE international conference on computer vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the European conference on computer vision (ECCV)

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: European Conference on Computer Vision

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Learning Probabilistic Embeddings for Unsupervised Action Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

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Pith citing papers

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