Pith. sign in

Paper Citation Record · LEDGER

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2606.22959.

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

pith.paper-citation-record.v1
2606.22959 v1

Coverage vector

measured 31 of 31 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-26T08:25:06.604717Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

31 of 31 outbound references displayed

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Outbound references

Observation 6e0758d6-0025-4e30-8494-340ebf401607 · outbound

This paper cites Saurous, and Kevin Murphy.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Saurous, and Kevin Murphy

Reference 1

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Observation ba6dfdfb-5b20-4738-8702-29ded5f1f349 · outbound

This paper cites Neural sign actors: A diffusion model for 3d sign language production from text.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Neural sign actors: A diffusion model for 3d sign language production from text

Reference 2

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Observation a010bfa6-e423-4fab-80e7-302b8ea67f36 · outbound

This paper cites HP-GAN: Probabilistic 3D human motion prediction via GAN.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production HP-GAN: Probabilistic 3D human motion prediction via GAN

Reference 3

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Observation 745e710f-2e67-4f03-8e65-7b305c417102 · outbound

This paper cites Neural sign language trans- lation.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Neural sign language trans- lation

Reference 4

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Observation 5efea9f0-a5ef-4f17-9271-62f27f8eb9ff · outbound

This paper cites Multi-channel transformers for multi- articulatory sign language translation.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Multi-channel transformers for multi- articulatory sign language translation

Reference 5

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Observation 4fbd9863-12c2-4e27-a1a2-3593683edb78 · outbound

This paper cites Unsupervised cross-lingual representation learn- ing at scale.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Unsupervised cross-lingual representation learn- ing at scale

Reference 6

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Observation 641a7cde-e840-45ae-ad06-721667e2bcd3 · outbound

This paper cites Recurrent convolutional neural networks for continuous sign language recognition by staged optimization.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Recurrent convolutional neural networks for continuous sign language recognition by staged optimization

Reference 7

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Observation e00955a4-0424-4a0e-be18-e379b82f283f · outbound

This paper cites Effective dimensionality: A tutorial.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Effective dimensionality: A tutorial

Reference 8

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Observation e91c5628-6420-488f-b8e8-669cb87e1af8 · outbound

This paper cites Text2sign diffusion: A generative approach for gloss-free sign language production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Text2sign diffusion: A generative approach for gloss-free sign language production

Reference 9

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Observation e81c3c41-d947-463e-b2fa-0a0d055400de · outbound

This paper cites Text-Driven Diffusion Model for Sign Language Production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Text-Driven Diffusion Model for Sign Language Production

Reference 10

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Observation 948fe34a-e642-4879-ae14-cb734f51ead0 · outbound

This paper cites Burgess, Xavier Glorot, Matthew M.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Burgess, Xavier Glorot, Matthew M

Reference 11

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Observation 29d8f6f9-1e5f-41d4-8eb3-9fd8518ffee2 · outbound

This paper cites To- wards fast and high-quality sign language production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production To- wards fast and high-quality sign language production

Reference 12

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Observation 5e8e0b39-dc09-4fdc-a1fd-62cd0ede0b79 · outbound

This paper cites Kingma and Max Welling.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Kingma and Max Welling

Reference 13

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Observation 731cf8e0-5777-45bb-9087-564b80968d22 · outbound

This paper cites Plumbley.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Plumbley

Reference 14

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Observation 647b7fb3-1fcb-4908-bd38-dbf7420b5a7e · outbound

This paper cites Don't blame the ELBO! A linear V AE perspec- tive on posterior collapse.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Don't blame the ELBO! A linear V AE perspec- tive on posterior collapse

Reference 15

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Observation 9fb1c4eb-57a6-41e8-b639-eeda53d3b438 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Bleu: a method for automatic evaluation of machine translation

Reference 16

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Observation db723dfd-c457-4b74-820a-138fa5bd0f8a · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production FiLM: Visual reasoning with a general conditioning layer

Reference 17

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Observation 8d6cd6a8-d5ea-4a2b-b66b-a17b97927808 · outbound

This paper cites A survey on recent ad- vances in sign language production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production A survey on recent ad- vances in sign language production

Reference 18

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Observation 0e3dd37e-1259-4136-aab2-06a1d0c62b6a · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production High-resolution image synthesis with latent diffusion models

Reference 19

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Observation ce1e74f7-a18a-4e3c-b794-87974e47828c · outbound

This paper cites Progressive transformers for end-to-end sign language pro- duction.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Progressive transformers for end-to-end sign language pro- duction

Reference 20

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Observation f836d4a5-a4d7-4f71-b3d6-f73e31a8172f · outbound

This paper cites Sign-IDD: iconicity disentangled dif- fusion for sign language production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Sign-IDD: iconicity disentangled dif- fusion for sign language production

Reference 21

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Observation da338bd0-0212-4608-ad81-ab836a96b70a · outbound

This paper cites Gloss-driven conditional diffusion models for sign language production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Gloss-driven conditional diffusion models for sign language production

Reference 22

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Observation fe7c13d6-010e-4edc-97a1-06039288dcbf · outbound

This paper cites Dis- entangle and regularize: Sign language production with articulator-based disentanglement and channel-aware regu- larization, 2025.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Dis- entangle and regularize: Sign language production with articulator-based disentanglement and channel-aware regu- larization, 2025

Reference 23

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Observation c44d2065-f120-4bc9-95ff-72286e398d83 · outbound

This paper cites A data-driven representation for sign lan- guage production.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production A data-driven representation for sign lan- guage production

Reference 24

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Observation ee071dc7-ff59-4369-9dfb-46cbdd539b75 · outbound

This paper cites SLRTP2025 sign language production challenge: Methodology, results and future work.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production SLRTP2025 sign language production challenge: Methodology, results and future work

Reference 25

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Observation 08a6f76d-fbd5-451e-8177-27a27177e618 · outbound

This paper cites Sign language production with latent motion transformer.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Sign language production with latent motion transformer

Reference 26

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Observation 51430a43-4b99-43c7-b25a-8c382bbbb672 · outbound

This paper cites G2P-DDM: generating sign pose sequence from gloss sequence with discrete diffusion model.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production G2P-DDM: generating sign pose sequence from gloss sequence with discrete diffusion model

Reference 27

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Observation 65a9d627-6001-45e8-9dcd-9c383f5b663d · outbound

This paper cites Reconstruction vs.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Reconstruction vs

Reference 28

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Observation e81e50d5-53a8-45ca-9f34-d6d195936b50 · outbound

This paper cites Towards scalable pre-training of visual tokenizers for generation.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production Towards scalable pre-training of visual tokenizers for generation

Reference 29

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Observation 52a129e3-69ab-453b-90e1-eeb0c7fad986 · outbound

This paper cites T2S-GPT: Dynamic vector quantization for autoregressive sign language production from text.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production T2S-GPT: Dynamic vector quantization for autoregressive sign language production from text

Reference 30

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Observation 156a0d7b-5df6-4684-9963-716883b776d3 · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 31

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Pith citing papers

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