Paper Citation Record · LEDGER

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.13237.

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

pith.paper-citation-record.v1
2412.13237 v1

Coverage vector

measured 42 of 42 reference resolution

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measured 42 of 42 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.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 7ffdb1a2-f0bb-4511-83d4-e9a2dbdcb47e · outbound

This paper cites Allen, Ghislain St-Yves, Yihan Wu, Jesse L.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Allen, Ghislain St-Yves, Yihan Wu, Jesse L

Reference 1

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This paper cites Unsupervised learning of visual features by contrasting cluster assignments, 2020.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Unsupervised learning of visual features by contrasting cluster assignments, 2020

Reference 2

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This paper cites Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Reference 3

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This paper cites A downsampled variant of imagenet as an alternative to the cifar datasets, 2017.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data A downsampled variant of imagenet as an alternative to the cifar datasets, 2017

Reference 4

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This paper cites brain reading.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data brain reading

Reference 5

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Observation f568e12d-339a-470d-86a3-49ca71163329 · outbound

This paper cites Emin Orhan, and Brenden M.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Emin Orhan, and Brenden M

Reference 6

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Observation 6e388958-466c-47ac-9782-fa43b1035fcd · outbound

This paper cites Nunez-Elizalde, and Jack L.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Nunez-Elizalde, and Jack L

Reference 7

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This paper cites Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models

Reference 8

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Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Unresolved cited work

Reference 9

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Observation cacf9790-29d8-474a-88c0-17213f320fa2 · outbound

This paper cites Denoising diffusion probabilistic models, 2020.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Denoising diffusion probabilistic models, 2020

Reference 10

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Observation 40d6573c-bc70-459f-8e31-43d5c7406058 · outbound

This paper cites Decoding the visual and subjective contents of the human brain.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Decoding the visual and subjective contents of the human brain

Reference 11

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This paper cites Kay, Ariel Rokem, Jonathan Winawer, Robert F.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Kay, Ariel Rokem, Jonathan Winawer, Robert F

Reference 12

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Observation e571b5c8-53ed-40f7-b398-fe2b1514d6ce · outbound

This paper cites Multi-semantic decoding of visual perception with graph neural networks.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Multi-semantic decoding of visual perception with graph neural networks

Reference 13

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Observation 5916e239-18b5-4e48-a166-903bd137b71c · outbound

This paper cites Mind reader: reconstructing complex images from brain activities.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Mind reader: reconstructing complex images from brain activities

Reference 14

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Observation 517a49ff-2677-4301-b46a-cfb2c518ca3f · outbound

This paper cites Lawrence Zitnick.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Lawrence Zitnick

Reference 15

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Observation 07c485f5-32ca-415b-9895-36854fc5d882 · outbound

This paper cites Chang, Andreas S.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Chang, Andreas S

Reference 16

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Observation 8cc224bf-650a-454a-abdb-58551c30ba2b · outbound

This paper cites Dual-guided brain diffusion model: Natural image reconstruction from human visual stimulus fmri.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Dual-guided brain diffusion model: Natural image reconstruction from human visual stimulus fmri

Reference 17

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This paper cites Tanabe, Norihiro Sadato, and Yukiyasu Kamitani.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Tanabe, Norihiro Sadato, and Yukiyasu Kamitani

Reference 18

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This paper cites Nunez-Elizalde, Alexander G.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Nunez-Elizalde, Alexander G

Reference 19

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Observation a3e03a81-5bcc-4fe6-a698-ad6d267a17a3 · outbound

This paper cites Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans

Reference 20

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Observation 34e5c7a5-2e40-4cfb-a22a-50b78484b1ae · outbound

This paper cites Natural scene reconstruction from fmri signals using generative latent diffusion.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Natural scene reconstruction from fmri signals using generative latent diffusion

Reference 21

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Observation 46225e1a-baa7-4d56-aefa-169995b3c308 · outbound

This paper cites Automatic differentiation in pytorch.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Automatic differentiation in pytorch

Reference 22

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This paper cites A Straightforward Framework for Video Retrieval Using CLIP, pages 3–12.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data A Straightforward Framework for Video Retrieval Using CLIP, pages 3–12

Reference 23

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Observation 37f4de9b-fc49-418b-9ce1-1725a9197e84 · outbound

This paper cites Improving the accuracy of single-trial fmri response estimates using glmsingle.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Improving the accuracy of single-trial fmri response estimates using glmsingle

Reference 24

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This paper cites Natural image reconstruction from fmri using deep learning: A survey.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Natural image reconstruction from fmri using deep learning: A survey

Reference 25

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Observation 88dc495a-31f3-47a6-ab7f-bb8448911330 · outbound

This paper cites Hierarchical text-conditional image generation with clip latents, 2022.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Hierarchical text-conditional image generation with clip latents, 2022

Reference 26

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Observation b37effe0-1d72-4580-beb7-9aa4c0349bc8 · outbound

This paper cites Fractional ridge regression: a fast, interpretable reparameterization of ridge regression.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Fractional ridge regression: a fast, interpretable reparameterization of ridge regression

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.807987Z

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Observation 5d2bc24d-2a9f-4dc6-ad27-6e82d477485c · outbound

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

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data High-resolution image synthesis with latent diffusion models

Reference 28

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Observation c6ac99ba-998c-456d-ad00-e5746443e4c7 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 29

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This paper cites Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J

Reference 30

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This paper cites Deep image reconstruction from human brain activity.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Deep image reconstruction from human brain activity

Reference 31

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Observation bd722197-8cda-4db5-bcb8-fc016c721e51 · outbound

This paper cites Manning, and Andrew Y.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Manning, and Andrew Y

Reference 32

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This paper cites Contrast, attend and diffuse to decode high-resolution images from brain activities, 2023.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Contrast, attend and diffuse to decode high-resolution images from brain activities, 2023

Reference 33

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This paper cites Rethinking the inception architecture for computer vision.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Rethinking the inception architecture for computer vision

Reference 34

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This paper cites High-resolution image reconstruction with latent diffusion models from human brain activity.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data High-resolution image reconstruction with latent diffusion models from human brain activity

Reference 35

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This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data EfficientNet: Rethinking model scaling for convolutional neural networks

Reference 36

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Observation 2d418c5c-3a34-457e-87a5-5090f62c0155 · outbound

This paper cites Reconstructing rapid natural vision with fmri-conditional video generative adversarial network.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Reconstructing rapid natural vision with fmri-conditional video generative adversarial network

Reference 37

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This paper cites Pixrevive: Latent feature diffusion model for compressed video quality enhancement.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Pixrevive: Latent feature diffusion model for compressed video quality enhancement

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.589101Z

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Observation f7a4daa7-c25e-48f3-9d77-e9096633e37a · outbound

This paper cites Wang, A.C.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Wang, A.C

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.568931Z

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Observation 333d7f66-281c-4661-83bc-a373e58ff1ac · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Versatile diffusion: Text, images and variations all in one diffusion model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.549452Z

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This paper cites Dass, Jafri M.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Dass, Jafri M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.529155Z

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Observation 1dc62765-80bf-4996-a70c-0d7ad710bfd2 · outbound

This paper cites Manning, and Curtis P.

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Manning, and Curtis P

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:03.504544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.