Paper Citation Record · LEDGER

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.06530.

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

pith.paper-citation-record.v1
2507.06530 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:52.120077Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

verified exact0
verified fuzzy29
unresolved12
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52f99957-6c8b-4ac2-b06b-4383fd966de0 · outbound

This paper cites documentation debt.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation documentation debt

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:59.150235Z

Source-reported events for the cited work

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Observation 65eee5ef-ad83-4604-9e82-ebbe82d90594 · outbound

This paper cites Sign language recognition, generation, and translation: An interdisciplinary perspective, 2019.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Sign language recognition, generation, and translation: An interdisciplinary perspective, 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:58.823589Z

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Observation c4d33122-24c6-46cf-934d-18c9a19e14d1 · outbound

This paper cites Neural sign language translation.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Neural sign language translation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:58.538373Z

Source-reported events for the cited work

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Observation 03142578-6607-4ae7-b2ab-f4bbf359b7ac · outbound

This paper cites Signnet ii: A transformer- based two-way sign language translation model.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Signnet ii: A transformer- based two-way sign language translation model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:58.175429Z

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Observation 2cd73f91-1346-4b17-9b54-20e2453f9c46 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Wavlm: Large-scale self-supervised pre-training for full stack speech processing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:57.887459Z

Source-reported events for the cited work

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Observation 0c446550-70bf-4ec2-96ef-f247fb99133c · outbound

This paper cites Towards an open platform for machine translation of spoken languages into sign languages.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Towards an open platform for machine translation of spoken languages into sign languages

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:57.638644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9080f1be-2aa3-4fa9-b9f0-663ddec5f2cf · outbound

This paper cites 3d avatar approach for continuous sign movement using speech/text.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation 3d avatar approach for continuous sign movement using speech/text

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:57.410339Z

Source-reported events for the cited work

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Observation 6193ad22-be7c-4425-9c32-fc71cbe0cd78 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

Reference 8

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Observation 610aadee-1cd5-4d1f-a12c-ad26d3ddd16f · outbound

This paper cites How2sign: A large-scale multimodal dataset for continuous american sign language, 2021.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation How2sign: A large-scale multimodal dataset for continuous american sign language, 2021

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:57.006664Z

Source-reported events for the cited work

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Observation ed2a90a7-71d8-46a8-aa94-f999cc5f2b81 · outbound

This paper cites Building a Swiss German Sign Language avatar with JASigning and evaluating it among the Deaf community , volume 15.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Building a Swiss German Sign Language avatar with JASigning and evaluating it among the Deaf community , volume 15

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:56.681769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6932e07b-504d-4186-9af0-3b2006029cc2 · outbound

This paper cites Rwth-phoenix-weather: A large vocabulary sign language recognition and translation corpus.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Rwth-phoenix-weather: A large vocabulary sign language recognition and translation corpus

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:56.445084Z

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Observation cdb5452b-8447-4f59-99f2-dca122ca1674 · outbound

This paper cites In the wild human pose estimation using explicit 2d features and intermediate 3d representations.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation In the wild human pose estimation using explicit 2d features and intermediate 3d representations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:56.245624Z

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Observation 5f6379c2-8053-4fc1-99a8-902e9b7a3c6b · outbound

This paper cites Contextnet: Improving convolutional neural networks for automatic speech recognition with global context, 2020.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Contextnet: Improving convolutional neural networks for automatic speech recognition with global context, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:56.099828Z

Source-reported events for the cited work

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Observation f5040445-4fab-4df2-b8f3-efb7cb166588 · outbound

This paper cites Deep residual learning for image recognition, 2015.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Deep residual learning for image recognition, 2015

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:49.684545Z

Source-reported events for the cited work

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Observation 683be648-1fee-4332-9a42-de286c144756 · outbound

This paper cites Rtmpose: Real-time multi-person pose estimation based on mmpose, 2023.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Rtmpose: Real-time multi-person pose estimation based on mmpose, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:49.794413Z

Source-reported events for the cited work

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Observation 47a133bc-8816-4761-a894-656e09ccbec3 · outbound

This paper cites Bag of tricks for efficient text classification, 2016.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Bag of tricks for efficient text classification, 2016

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:55.985963Z

Source-reported events for the cited work

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Observation 301e0237-b13a-4be7-9512-93420d817566 · outbound

This paper cites an unresolved cited work.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:04:55.834309Z

Source-reported events for the cited work

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Observation fb59f1dc-9ef3-4365-972a-71b8f4c9477d · outbound

This paper cites Deep hand: How to train a cnn on 1 million hand images when your data is continuous and weakly labelled.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Deep hand: How to train a cnn on 1 million hand images when your data is continuous and weakly labelled

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:55.657839Z

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Observation 2e95b482-d644-4380-93a5-d00630f70df2 · outbound

This paper cites A deep learning approach for analyzing video and skeletal features in sign language recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation A deep learning approach for analyzing video and skeletal features in sign language recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:55.510958Z

Source-reported events for the cited work

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Observation a7b51735-26e5-4915-aa65-af3b78408440 · outbound

This paper cites A deep learning approach for analyzing video and skeletal features in sign language recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation A deep learning approach for analyzing video and skeletal features in sign language recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:55.319919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b467491-7e3a-437c-a456-c202e2b92e0e · outbound

This paper cites Corchado.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Corchado

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:55.149982Z

Source-reported events for the cited work

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Observation cafd1923-0a7f-402d-b283-e32ed1814911 · outbound

This paper cites Openpifpaf: Composite fields for semantic keypoint detection and spatio-temporal association, 2021.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Openpifpaf: Composite fields for semantic keypoint detection and spatio-temporal association, 2021

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:54.987049Z

Source-reported events for the cited work

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Observation dbdbdb6f-bbac-4183-b95c-7ec9f5fbd039 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 23

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Source-reported events for the cited work

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Observation 0efb4dc4-da16-4f81-a8a6-b86ea07b4af1 · outbound

This paper cites Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison, 2020.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:54.724042Z

Source-reported events for the cited work

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Observation fcced08a-2c7e-4236-9dcd-3a61d6cc0a64 · outbound

This paper cites Speech enhancement method based on lstm neural network for speech recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Speech enhancement method based on lstm neural network for speech recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:54.510441Z

Source-reported events for the cited work

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Observation 586eeb0e-a3a5-42c0-a824-6c79ed5f1e00 · outbound

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Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:04:54.341371Z

Source-reported events for the cited work

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Observation 19b3fdb7-b77d-457f-8bdc-bb9e285023d0 · outbound

This paper cites Mediapipe: A framework for building perception pipelines, 2019.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Mediapipe: A framework for building perception pipelines, 2019

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:54.135948Z

Source-reported events for the cited work

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Observation 8144dec3-26a4-4657-821d-88217887ae9d · outbound

This paper cites Jointformer: Single-frame lifting transformer with error prediction and refinement for 3d human pose estimation, 2022.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Jointformer: Single-frame lifting transformer with error prediction and refinement for 3d human pose estimation, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:53.923672Z

Source-reported events for the cited work

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Observation f5cd1593-60d5-4b55-ab9a-33f7564bb6ae · outbound

This paper cites Efficient estimation of word representations in vector space, 2013.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Efficient estimation of word representations in vector space, 2013

Reference 29

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Observation 8f13d103-792a-40c1-919b-f3807a82f748 · outbound

This paper cites On feature selection in environmental sound recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation On feature selection in environmental sound recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:53.689381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70b249d0-9b60-4e49-b07f-d8ccd0b3e337 · outbound

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

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Bleu: a method for automatic evaluation of machine translation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:53.493796Z

Source-reported events for the cited work

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Observation 93a9c2a9-b896-4f8c-9202-b83b305b6eeb · outbound

This paper cites A hybrid of deep cnn and bidirectional lstm for automatic speech recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation A hybrid of deep cnn and bidirectional lstm for automatic speech recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:53.319597Z

Source-reported events for the cited work

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Observation 9f887ba1-5b57-4492-8f5e-089ac7618f7d · outbound

This paper cites Iterative alignment network for continuous sign language recognition.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Iterative alignment network for continuous sign language recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:53.150520Z

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Observation f0f3086c-3af0-4176-8e09-e2da11dad933 · outbound

This paper cites Robust speech recognition via large-scale weak supervision, 2022.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Robust speech recognition via large-scale weak supervision, 2022

Reference 34

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Observation c0e52a58-89cc-4df7-8cda-5d91300a73dd · outbound

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Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae44341f-d9cf-4b03-bc57-6cd57930df1b · outbound

This paper cites an unresolved cited work.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:04:53.021036Z

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Observation dcaf632c-7017-4f92-bb5f-daf4a0fd9b5d · outbound

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Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:04:52.825633Z

Source-reported events for the cited work

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Observation 0d15ded1-25ca-4400-a991-8acc67a174cf · outbound

This paper cites Adversarial training for multi-channel sign language production, 2020.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Adversarial training for multi-channel sign language production, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:52.610595Z

Source-reported events for the cited work

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Observation 1c169127-232f-45d3-bbc5-fcbcaf5b2ae6 · outbound

This paper cites Text2sign: Towards sign language production using neural machine translation and generative adversarial networks.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation Text2sign: Towards sign language production using neural machine translation and generative adversarial networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:52.439331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 633d7c5b-6cc8-44fc-b596-f8b451314a91 · outbound

This paper cites There and back again: 3d sign language generation from text using back-translation.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation There and back again: 3d sign language generation from text using back-translation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:52.318944Z

Source-reported events for the cited work

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Observation 1c2202ee-6000-4ecf-9e71-23f0ae384b6e · outbound

This paper cites UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data.

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:52.120077Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.