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Paper Citation Record · LEDGER

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2601.14788.

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

pith.paper-citation-record.v1
2601.14788 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:09:04.273023Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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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Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation 17ab800b-51b0-49e9-bdf7-d0fd68fba5eb · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 1

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Observation 311c8dee-f51e-459a-b05c-5616a3a79289 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 2

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Observation d476e65b-f7ef-4894-8bf8-23ef66a27559 · outbound

This paper cites 18 In: International Conference on Robotics and Automation (ICRA), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation 18 In: International Conference on Robotics and Automation (ICRA), pp

Reference 3

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Observation 18b23550-a196-4770-b27c-69007e4c9518 · outbound

This paper cites In: International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), pp

Reference 4

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Observation 4e239ea2-4c5e-4628-af17-a60108be714d · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 5

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Observation c5c98119-443e-4536-a126-cef0aed611f8 · outbound

This paper cites International Journal of Computer Vision (IJCV), 1–21 (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV), 1–21 (2024)

Reference 6

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Observation 0f4c191d-4ef9-4f55-9f5e-1f0a8cb85c06 · outbound

This paper cites International Journal of Computer Vision (IJCV)133(5), 2910–2926 (2025).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)133(5), 2910–2926 (2025)

Reference 7

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Observation 064112f3-e15c-4554-8a76-866e55d9781b · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 8

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Observation 4720c3af-5707-4f9a-8734-b1296af8a667 · outbound

This paper cites International Journal of Computer Vision (IJCV)134(1), 61 (2026) https://doi.org/10.1007/ s11263-025-02611-3.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)134(1), 61 (2026) https://doi.org/10.1007/ s11263-025-02611-3

Reference 9

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Observation fb5d3ffa-206d-4768-9f4a-a63901abbd7b · outbound

This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 10

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Observation ec6876cc-d40b-4f09-85e4-14a74a8e2f21 · outbound

This paper cites In: International Conference on Machine Learning (ICML), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Machine Learning (ICML), pp

Reference 11

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Observation 488e8274-12b4-47e0-a0b9-ced5d70d7ef0 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 12

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Observation f80d8e0b-b7e6-449f-a597-c01de1dcb335 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 13

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Observation a56ab668-6240-433b-8025-6103f3ea06b0 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 14

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Observation 1de6f50a-b7a5-4bbd-ba40-f5289ce3e59e · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)36, 15497–15518 (2023).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Advances in Neural Information Processing Systems (NeurIPS)36, 15497–15518 (2023)

Reference 15

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Observation 5cbf57dc-1ad7-4115-bf43-a946ead04eda · outbound

This paper cites In: International Conference on Computer Vision (ICCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Vision (ICCV), pp

Reference 16

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Observation fc7d7743-00a3-454a-a368-b78689cecb3d · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Learning Representations (ICLR) (2024)

Reference 17

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Observation 846b57fb-0205-4977-ae29-6e8affad3fe9 · outbound

This paper cites In: International Conference on 3D Vision (3DV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on 3D Vision (3DV), pp

Reference 18

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Observation 4ca6fb52-9277-4c2c-9921-c2ee6301ff26 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 19

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Observation 62145321-d810-41de-af1e-af8c73098aac · outbound

This paper cites Big data 4(4), 236–252 (2016).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Big data 4(4), 236–252 (2016)

Reference 20

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Observation cb0d1d90-8e79-4095-bef7-a803cb57a1bf · outbound

This paper cites Human Motion Diffusion Model.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Human Motion Diffusion Model

Reference 21

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Observation 328e4f84-674a-432c-b7fe-ed3b71280676 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 22

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Observation 39328d56-16a0-4ece-a96e-0fb1bad6d3d7 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)36, 13981–13992 (2023).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Advances in Neural Information Processing Systems (NeurIPS)36, 13981–13992 (2023)

Reference 23

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Observation f9b2c7cc-33bb-45d1-8031-8d5a6bf2e524 · outbound

This paper cites Less is More: Improving Motion Diffusion Models with Sparse Keyframes.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Less is More: Improving Motion Diffusion Models with Sparse Keyframes

Reference 24

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Observation 07940e6a-6ca8-4bd1-a5e3-92ab62057a0d · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 25

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Observation 147665b6-93ea-43a4-bd04-b779ea5bebee · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 26

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Observation 0a8f981f-d683-4365-9b15-0c4ffdcb357a · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 27

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Observation f95e74d2-579b-49b2-80bb-62440efb72de · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 28

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Observation f982a013-4c2b-46cc-b674-9cebe48b2f3c · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 29

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Observation 0fc92fd1-22e7-4d6d-9cb7-fcb69fb93125 · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 30

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Observation 26db746d-c033-4fc3-b391-12302ce59055 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)37, 130739–130763 (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Advances in Neural Information Processing Systems (NeurIPS)37, 130739–130763 (2024)

Reference 31

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Observation 41b9625d-05ef-45fe-9d1e-b537b53fa201 · outbound

This paper cites In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 32

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Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Conference on Computer Vision (ICCV) (2025)

Reference 33

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This paper cites International Conference on Learning Representations (ICLR) (2025).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Conference on Learning Representations (ICLR) (2025)

Reference 34

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Observation c5258259-2c16-4245-b75c-b1c8ddb8b7bb · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2026).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: AAAI Conference on Artificial Intelligence (2026)

Reference 35

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Observation 0f9c900d-00d9-4d65-ac04-3eaf46242572 · outbound

This paper cites In: International Conference on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), pp

Reference 36

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Observation 5d34822b-bed4-4847-9e68-327ea367bf87 · outbound

This paper cites Conference on Neural Information Processing Systems (NeurIPS) (2025).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Conference on Neural Information Processing Systems (NeurIPS) (2025)

Reference 37

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Observation 5017eaee-d26f-420c-bba9-c76870711fc1 · outbound

This paper cites International Journal of Computer Vision (IJCV)134(1), 29 (2026).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)134(1), 29 (2026)

Reference 38

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Observation c2297536-5362-4d2a-bad6-e01e7c850304 · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 39

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source=pdf_text observed=2026-08-03T09:09:02.464748Z digest=sha256:4a0fd20d92022026fd99599ef73dafe425299e8ee665041eedad4b7acc9a2add

Observation c2ed9d0a-5c37-4f3f-bafd-f9386dc799f8 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: Computer Vision and Pattern Recognition (CVPR), pp

Reference 40

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source=pdf_text observed=2026-08-03T09:09:02.552023Z digest=sha256:24175b65c85fb30d8b4ea89f68b1ea1a9cce3b596d9053fccce5173560aef744

Observation 8f0b1b1c-d195-46b8-832c-40c15c3ab91f · outbound

This paper cites In: International Conference on Computer Vision (ICCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Vision (ICCV), pp

Reference 41

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source=pdf_text observed=2026-08-03T09:09:02.650190Z digest=sha256:1d60065c057be21c49f372db457a9b6b4b248c0125f4e7fcf897af0309cdb4d7

Observation dc148498-69d5-4e21-9fab-2d07a2cdd0d6 · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 42

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source=pdf_text observed=2026-08-03T09:09:02.780668Z digest=sha256:c9c0c3d606e997cd9a1236117a1d48714abf29fb18275d70de221b966441f858

Observation 832c38ad-41b6-439d-90fc-ebff3ec81488 · outbound

This paper cites In: International Conference on Computer Vision (ICCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Vision (ICCV), pp

Reference 43

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source=pdf_text observed=2026-08-03T09:09:02.914168Z digest=sha256:b58236e339c7824eba3f6681021274e6ee19139e24567358b4660aee8babf66b

Observation 05c8d7f4-eacb-49e9-b329-e221b49df8d2 · outbound

This paper cites Con- ference on Neural Information Processing Systems (NeurIPS)34, 8780–8794 (2021).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Con- ference on Neural Information Processing Systems (NeurIPS)34, 8780–8794 (2021)

Reference 44

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source=pdf_text observed=2026-08-03T09:09:03.061384Z digest=sha256:4567832c5d5b89cfca1b601a8afea50ebdfbe6c1932b4f0dd929471a3f3dfc21

Observation 22888dc3-78da-43a2-88c6-888dd6714e60 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Classifier-Free Diffusion Guidance

Reference 45

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source=pdf_text observed=2026-08-03T09:09:03.120051Z digest=sha256:ff495818e14816dc97f19b3ae977cb7179674376ec7e6b852aec910ecd8a57ee

Observation 5b89034e-918b-4fba-b066-7ec250b25201 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)37, 52996–53021 (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Advances in Neural Information Processing Systems (NeurIPS)37, 52996–53021 (2024)

Reference 46

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source=pdf_text observed=2026-08-03T09:09:03.164762Z digest=sha256:f1734c8776ed8ebbdc16d55c69ba02c8c63b68205f149af8370101b6fde2116d

Observation dd92d4ab-2c4f-4163-9920-124f6cabd0aa · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 47

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source=pdf_text observed=2026-08-03T09:09:03.222850Z digest=sha256:0d296d3d5efa316db2faeba81ad98b6f6bfa8f4e9784829ff6a68d6d1d07f4f9

Observation bdce3ce4-5830-4464-8d86-edd0e3017f0f · outbound

This paper cites https://github.com/Stability-AI/sd3.5 (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation https://github.com/Stability-AI/sd3.5 (2024)

Reference 48

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source=pdf_text observed=2026-08-03T09:09:03.331418Z digest=sha256:ed1cba3da0523bade88e28c97eb2e60f3d55bae51db4a98f775afe70cd233969

Observation d7e85bea-2246-432d-a29f-1af82948719a · outbound

This paper cites In: European Conference on Computer Vision (ECCV), pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: European Conference on Computer Vision (ECCV), pp

Reference 49

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source=pdf_text observed=2026-08-03T09:09:03.480201Z digest=sha256:9e1102fad7ed0e8caea3e9fb0ceac795fdb66b9cb5d9867aedea81721b7fda91

Observation b0656d50-e434-46a0-ba8e-723790da9d58 · outbound

This paper cites In: International Conference on Computer Vision, pp.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Computer Vision, pp

Reference 50

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source=pdf_text observed=2026-08-03T09:09:03.555332Z digest=sha256:0eea8c38a66e3818582b377b44c88e883444aba32f4e2b9abe5599a9c11eddb4

Observation 56ceb71c-e300-47bf-890e-ebeb1f2ae202 · outbound

This paper cites International Conference on Multimedia (MM) (2024).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Conference on Multimedia (MM) (2024)

Reference 51

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source=pdf_text observed=2026-08-03T09:09:03.636083Z digest=sha256:0f09493be5a960b23919d361052c51a463662cfb7f02117fbca22cdd93445d5d

Observation 070d133f-021d-4d5c-9be1-5b3c628ac353 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2025).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation In: International Conference on Learning Representations (ICLR) (2025)

Reference 52

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source=pdf_text observed=2026-08-03T09:09:03.712013Z digest=sha256:dcc2dbee5a9ce9dd77708ac7ed06fbec4621e310af36d129e1b57519e1d57a4e

Observation 87382bb4-39cd-4bed-8ebe-5fc82d181d91 · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Human Motion Diffusion as a Generative Prior

Reference 53

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source=pdf_text observed=2026-08-03T09:09:03.825801Z digest=sha256:00c80866d90bd6431a254d125a8af0305dd54efc105ebd6850423ebce8e12297

Observation 44108868-7037-4463-a6ce-fff14b90d503 · outbound

This paper cites Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset

Reference 54

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source=pdf_text observed=2026-08-03T09:09:04.017711Z digest=sha256:06773ff3c2a1987abc9b39be2513183a476ec748a399e63cf3729e8e36df5d90

Observation e313d68a-8b42-46d8-b4aa-c25d736b2f31 · outbound

This paper cites International Journal of Computer Vision (IJCV)129(10), 2846–2864 (2021).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)129(10), 2846–2864 (2021)

Reference 55

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source=pdf_text observed=2026-08-03T09:09:04.128503Z digest=sha256:265307fc37dc4009c7d61b4504ceb8bffda5141b07f545353e1e7f5542661d5e

Observation bb3ab014-d94c-4116-8b5d-efab722c3a74 · outbound

This paper cites International Journal of Computer Vision (IJCV)130(5), 1165–1180 (2022).

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)130(5), 1165–1180 (2022)

Reference 56

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source=pdf_text observed=2026-08-03T09:09:04.214142Z digest=sha256:fbe41676b16543d1c4277d5a57f981feb76ee7e964a753e3690fbc418438e52a

Observation 98e57dc9-1e90-40b6-8309-8124f480d870 · outbound

This paper cites International Journal of Computer Vision (IJCV)130(2), 363–383 (2022) 23.

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation International Journal of Computer Vision (IJCV)130(2), 363–383 (2022) 23

Reference 57

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source=pdf_text observed=2026-08-03T09:09:04.273023Z digest=sha256:4732429e9fed4edfb731c8f189725cfc08867eea61c64c66d8a9d0515e5c66c0

Pith citing papers

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