Paper Citation Record · LEDGER

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation

As of 7 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2603.22282.

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

pith.paper-citation-record.v1
2603.22282 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T20:17:37.389126Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:59:02.669525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:01:23.551556Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 915c29f4-2d75-437a-9f3d-a369c5aee5f8 · outbound

This paper cites In: SIGGRAPH Asia 2024 Conference Papers.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: SIGGRAPH Asia 2024 Conference Papers

Reference 1

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Observation 0124634b-d250-4b73-9f9f-e467a4689ed6 · outbound

This paper cites arXiv (2023).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation arXiv (2023)

Reference 2

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Observation bc57b51e-0739-424f-8406-f0c81f1e4ff8 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Advances in neural information processing systems33, 1877–1901 (2020)

Reference 3

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Observation 070f560e-a438-45a0-8580-6dfbe9c73825 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

Reference 4

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Observation ca3d3740-6eab-443e-9fd9-2dfdf2a49c07 · outbound

This paper cites MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Reference 5

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Observation f3820cfb-d8c8-4a15-8c80-ce49a1844bd1 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 6

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Source-reported events for the cited work

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Observation b00df07d-b247-4537-adbb-9a96cb52dad0 · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T20:17:37.389126Z

Source-reported events for the cited work

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Observation 065994f0-26ff-4c22-b302-64d7afc53ddf · outbound

This paper cites In: CVPR.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: CVPR

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T20:17:37.389126Z

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Observation 2f81c7bb-d9fa-4140-a81b-ac759056c364 · outbound

This paper cites In: CVPR.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: CVPR

Reference 9

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Source-reported events for the cited work

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Observation c8cac93d-4b73-4cb7-88c3-8dd9e8e61852 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 10

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Observation 93ab1e8c-8cb9-45a7-9269-c1a332c01390 · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

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Observation b9d64f48-b25b-4cd7-95c5-bae069b0c18a · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 12

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Unavailable: canonical work link unavailable.

Observation 642dbc86-3ba8-473a-bba5-9a8a796a3486 · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T20:17:37.389126Z

Source-reported events for the cited work

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Observation 0f85450c-7789-47de-ad3b-30f8d530b145 · outbound

This paper cites In: ECCV (2022).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: ECCV (2022)

Reference 14

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Observation 873edb0b-4d20-40bb-b118-0942dae978ea · outbound

This paper cites arXiv preprint arXiv:2511.01463 (2025).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation arXiv preprint arXiv:2511.01463 (2025)

Reference 15

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Source-reported events for the cited work

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Observation e61a25c6-dc12-479f-a3b4-9f2dfc0cf14b · outbound

This paper cites 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments

Reference 16

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Source-reported events for the cited work

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Observation 15530285-8d16-40b5-9a0f-fe30d5a507ff · outbound

This paper cites Advances in Neural Information Processing Systems36, 20067–20079 (2023) 16 Z.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Advances in Neural Information Processing Systems36, 20067–20079 (2023) 16 Z

Reference 17

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Source-reported events for the cited work

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Observation cdc66fd3-16eb-4474-b0d7-e46e645a9b67 · outbound

This paper cites In: CVPR.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: CVPR

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f7d776-1da7-4e33-abb4-74c06b0c3026 · outbound

This paper cites Auto-Encoding Variational Bayes.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Auto-Encoding Variational Bayes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T20:17:37.389126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2236f21a-25b6-4746-93a2-e218199341d7 · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T20:17:37.389126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f3b044-ea93-4136-a94f-cf04e93b6c93 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 21

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Source-reported events for the cited work

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Observation 721eba4e-311c-440f-acf6-8d9098bca509 · outbound

This paper cites LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning

Reference 22

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Observation 3a5f1131-5251-4981-b2d3-e3224be30e6c · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023),https://openreview.net/forum?id=PqvMRDCJT9t.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: The Eleventh International Conference on Learning Representations (2023),https://openreview.net/forum?id=PqvMRDCJT9t

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0b6daf-3124-4e00-b576-d85c73c1bd94 · outbound

This paper cites In: NeurIPS (2023).

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: NeurIPS (2023)

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f6a21e-d3fa-4d45-bda3-95f8b77ecef8 · outbound

This paper cites DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion.

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion

Reference 25

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Observation 9705b47c-40dc-495d-9167-9077bc0604c2 · outbound

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

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 27

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Observation 5c98c56a-9cd8-4d50-b9e7-cd6276b7ef8d · outbound

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Human Motion Diffusion Model

Reference 28

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Advances in neural information processing systems30(2017)

Reference 29

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Observation 9b80089e-93f7-459b-a49e-4d4183ec29d0 · outbound

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the European conference on computer vision (ECCV)

Reference 30

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Observation 47d103d0-969f-4f46-89df-357d5997a92f · outbound

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 31

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: ICCV

Reference 32

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 33

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 34

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 35

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Forty-first International Conference on Machine Learning (2024)

Reference 36

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation arXiv (2024)

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Show-o2: Improved Native Unified Multimodal Models

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2023)

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation TPAMI (2023)

Reference 40

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF international conference on computer vision

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: ICCV (2021)

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Reference 43

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation In: Proceedings of the IEEE/CVF international conference on computer vision

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation IEEE transactions on pattern analysis and machine intelligence46(6), 4115–4128 (2024)

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation 7.Global orientation (continuous 6D form): 6-dim

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UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation Describe the motion

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Pith citing papers

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Lens Privacy Sealing: A New Benchmark and Method for Physical Privacy-Preserving Action Recognition cites this paper.

Lens Privacy Sealing: A New Benchmark and Method for Physical Privacy-Preserving Action Recognition UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation

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Observation a2b27680-57d8-4c97-9401-87f2f65f1f26 · inbound

Lens Privacy Sealing: A New Benchmark and Method for Physical Privacy-Preserving Action Recognition cites this paper.

Lens Privacy Sealing: A New Benchmark and Method for Physical Privacy-Preserving Action Recognition UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation

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