Paper Citation Record · LEDGER

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.04184.

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

pith.paper-citation-record.v1
2412.04184 v1

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measured 54 of 54 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation d6840fb2-a0a8-4f25-89c9-404d92ce3a86 · outbound

This paper cites W., Hayhoe, M.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity W., Hayhoe, M

Reference 1

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This paper cites E., Langrock, R., Walters, J.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity E., Langrock, R., Walters, J

Reference 2

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This paper cites & Stockman, G.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Stockman, G

Reference 3

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 4

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This paper cites A., Thomas, L., Wilcox, C., Ovaskainen, O.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity A., Thomas, L., Wilcox, C., Ovaskainen, O

Reference 5

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity C., Kello, C

Reference 6

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This paper cites E., Rhodes, T.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity E., Rhodes, T

Reference 7

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Khanna, R

Reference 8

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 10

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This paper cites Analysis of animal accelerometer data using hidden markov models.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Analysis of animal accelerometer data using hidden markov models

Reference 11

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 12

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This paper cites & Gourisaria, M.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Gourisaria, M

Reference 13

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Elhassouny, A

Reference 14

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This paper cites Variational autoencoder for deep learning of images, labels and captions.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Variational autoencoder for deep learning of images, labels and captions

Reference 15

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This paper cites Generative Adversarial Networks.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Generative Adversarial Networks

Reference 16

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Zhou, Y

Reference 18

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This paper cites V ., Gerget, O.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity V ., Gerget, O

Reference 19

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Observation 822e7daa-7684-4deb-b0c7-837803e26b52 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 20

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Efros, A

Reference 21

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Ward, T

Reference 22

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Alahari, K

Reference 23

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Wang, H

Reference 24

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 25

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

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Observation 7acd023b-8cdb-4329-a050-7f20e22d15f7 · outbound

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 27

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Computational complexity of neural networks: a survey

Reference 28

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Wasserstein GAN

Reference 29

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Advances in Quantum Deep Learning: An Overview

Reference 30

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Quantum Deep Learning

Reference 31

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity R., Yazidi, A

Reference 32

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Zheng, S

Reference 33

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This paper cites Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 34

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Keuper, J

Reference 36

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Bertrand, S

Reference 37

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Ren, J

Reference 39

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Lecomte, N

Reference 40

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unresolved cited work

Reference 42

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This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 43

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Discrete-Time Markov Chains, 63–109 (Springer International Publishing, Cham, 2020)

Reference 44

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity A tutorial on hidden markov models and selected applications in speech recognition

Reference 45

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity E., Petrie, T., Soules, G

Reference 46

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity EyeLink 1000 Manual (2024)

Reference 47

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This paper cites Where’s Waldo (Candlewick Press, Somerville, MA, USA, 2007).

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Where’s Waldo (Candlewick Press, Somerville, MA, USA, 2007)

Reference 48

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity B., Cavalcanti, G

Reference 49

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This paper cites On the jensen–shannon symmetrization of distances relying on abstract means.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity On the jensen–shannon symmetrization of distances relying on abstract means

Reference 50

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity From GAN to WGAN

Reference 51

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity & Lind, P

Reference 52

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Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Density Estimation for Statistics and Data Analysis (Routledge, New York, NY , USA, 1998), 1st edn

Reference 53

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Observation 841ea87f-4638-4f0e-942d-08c4a2da2907 · outbound

This paper cites Chapter 8 - variants of hsmms.

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity Chapter 8 - variants of hsmms

Reference 54

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Pith citing papers

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