Pith. sign in

Paper Citation Record · LEDGER

Development and evaluation of a deep learning algorithm for German word recognition from lip movements

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.15792.

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

pith.paper-citation-record.v1
2504.15792 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:05.416240Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation fd89862f-b58e-4a47-8119-78fb802bd23a · outbound

This paper cites von Gablenz, E.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements von Gablenz, E

Reference 1

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Observation 681bed2c-6b19-4cc0-8868-e4ddc784469c · outbound

This paper cites A survey on mouth modeling and analysis for sign language recognition.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements A survey on mouth modeling and analysis for sign language recognition

Reference 2

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Observation c6a338da-56f0-4512-87a7-959ecc55bca1 · outbound

This paper cites Comparison of image transform-based features for visual speech recognition in clean and corrupted videos.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements Comparison of image transform-based features for visual speech recognition in clean and corrupted videos

Reference 3

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This paper cites Audiovisual automatic speech recognition: Progress and challenges.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements Audiovisual automatic speech recognition: Progress and challenges

Reference 4

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This paper cites A review of recent advances in visual speech decoding.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements A review of recent advances in visual speech decoding

Reference 5

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This paper cites https://landesdolmetscherzentrale-gebaerdensprache.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements https://landesdolmetscherzentrale-gebaerdensprache

Reference 6

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Observation 08e6695d-02fb-4db9-8962-52b45ba0d355 · outbound

This paper cites A survey of research on lipreading technology.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements A survey of research on lipreading technology

Reference 7

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Observation f4154cff-3465-4947-93d5-0ced429abf21 · outbound

This paper cites LipNet: End-to-End Sentence-level Lipreading.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements LipNet: End-to-End Sentence-level Lipreading

Reference 8

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This paper cites Large-Scale Visual Speech Recognition.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements Large-Scale Visual Speech Recognition

Reference 9

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Hilder, Richard Harvey, and B

Reference 10

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Unresolved cited work

Reference 11

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Observation af0513c3-6fcf-4efa-8b40-2be7efac6502 · outbound

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Deep Learning

Reference 12

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Unresolved cited work

Reference 13

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Rectified-linear-unit- based deep learning for biomedical multi-label data

Reference 14

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Pattern Recognition and Machine Learning (Information Science and Statistics)

Reference 15

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Lip reading using convolutional neural networks with and without pre-trained models

Reference 16

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements LeCun, B

Reference 17

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This paper cites A 3d convolutional neural network for volumetric image semantic segmentation.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements A 3d convolutional neural network for volumetric image semantic segmentation

Reference 18

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Lipreading with long short-term memory

Reference 19

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Lip reading sentences in the wild

Reference 20

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Learning phrase representations using RNN encoder–decoder for statistical machine translation

Reference 21

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Lrw-1000: A naturally-distributed large-scale benchmark for lip reading in the wild

Reference 22

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements 3d convolutional neural networks for cross audio-visual matching recognition

Reference 23

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Unresolved cited work

Reference 24

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Gowda and Chun Yuan

Reference 25

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 26

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Dropout: a simple way to prevent neural networks from overfitting

Reference 27

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Kingma and Jimmy Ba

Reference 28

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements youtube-dl

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Converting video formats with ffmpeg

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements https://github.com/Zulko/moviepy, 2021

Reference 31

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements The opencv library

Reference 32

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Face recognition

Reference 33

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Unresolved cited work

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Unresolved cited work

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Development and evaluation of a deep learning algorithm for German word recognition from lip movements Scikit-learn: Machine learning in python

Reference 36

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raw_fallback, observed 2026-08-16T11:21:05.828809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:21:05.370745Z digest=sha256:8dbd1d552185837c46e7443698c07dc2eab89c527de0aa860f5e4e299c8c857f

Observation a169dec5-5ef8-4817-9f8b-1be59050628b · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:21:05.378653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:21:05.378653Z digest=sha256:110e525951d60e917cf2af6a9bf9dc0faee86efc1a40cf4fb3b876f7f0021c80

Observation 64e366c0-b978-4e91-9af6-b41e22530cd9 · outbound

This paper cites Lip reading sentences using deep learning with only visual cues.

Development and evaluation of a deep learning algorithm for German word recognition from lip movements Lip reading sentences using deep learning with only visual cues

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:21:05.761802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:21:05.416240Z digest=sha256:6eaea06b2199a7a2c10acdc5946ac7807b9622765d4cf15a0553be827ddd22d5

Pith citing papers

No inbound Pith citation observations are available.