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Paper Citation Record · LEDGER

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.14854.

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

pith.paper-citation-record.v1
2501.14854 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

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measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation acb3c1c3-0e8d-4458-8d7b-2bd8aececb91 · outbound

This paper cites Convolutional Neural Networks Mimic the Hierarchy of Visual Representations in the Human Brain.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Convolutional Neural Networks Mimic the Hierarchy of Visual Representations in the Human Brain

Reference 1

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Observation f716112d-9df6-4e5d-8cdb-bea8a45d5046 · outbound

This paper cites A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Reference 2

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Observation aa981616-92d5-457c-8939-7adbfd10f2de · outbound

This paper cites From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

Reference 3

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Observation 70ba28a8-0d58-4c09-8809-977f67f2326d · outbound

This paper cites O’Reilly Media, Inc.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex O’Reilly Media, Inc

Reference 4

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Observation 50aca9bc-baa3-4bb3-93ba-f092a2e5d90a · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Diffusion Models Beat GANs on Image Synthesis

Reference 5

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This paper cites fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey

Reference 6

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Observation 19ba6110-62f1-4729-8d78-c121412fd74b · outbound

This paper cites Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning

Reference 7

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Observation 016ef7f0-eb74-4b82-817d-28740509939e · outbound

This paper cites Retinotopic organization in human visual cortex and the spatial precision of functional MRI.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Retinotopic organization in human visual cortex and the spatial precision of functional MRI

Reference 8

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This paper cites Brown corpus manual, manual of information to accompany a standard corpus of present-day edited American English.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Brown corpus manual, manual of information to accompany a standard corpus of present-day edited American English

Reference 9

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Observation e57686dd-bc35-4e09-bc95-71a902b999ec · outbound

This paper cites Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity

Reference 10

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This paper cites Human brain responses are modulated when exposed to optimized natural images or synthetically generated images.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Human brain responses are modulated when exposed to optimized natural images or synthetically generated images

Reference 11

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Observation 88092c62-788b-408f-91b9-40b580eb5e6a · outbound

This paper cites NeuroGen: Activation optimized image synthesis for discovery neuroscience.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex NeuroGen: Activation optimized image synthesis for discovery neuroscience

Reference 12

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This paper cites Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

Reference 13

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This paper cites Sequence regularity and geometry of orientation columns in the monkey striate cortex.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Sequence regularity and geometry of orientation columns in the monkey striate cortex

Reference 14

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Observation 2ec440b5-637c-4c67-bb7a-04b473d159af · outbound

This paper cites Huettel, Allen W.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Huettel, Allen W

Reference 15

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Observation a9951d4d-fd85-4327-ab3e-01489b0125f3 · outbound

This paper cites Neural style transfer: A review.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Neural style transfer: A review

Reference 16

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Observation e3e90976-9a9a-4512-9a2f-d9ce27379573 · outbound

This paper cites Identifying natural images from human brain activity.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Identifying natural images from human brain activity

Reference 17

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex greentfrapp/lucent

Reference 18

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Observation 714b2246-30a1-48da-8d0a-fb6bd811e1ef · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex ImageNet Classification with Deep Convolutional Neural Networks

Reference 19

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Observation 55c09fb2-d77b-4971-b377-57181271ef21 · outbound

This paper cites Gradient-Based Learning Applied to Document Recognition.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Gradient-Based Learning Applied to Document Recognition

Reference 20

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Feature Visualization

Reference 21

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Observation 616cf249-a30f-4192-9656-f295ac62a7a5 · outbound

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

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Natural scene reconstruction from fMRI signals using generative latent diffusion

Reference 22

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Learning transferable visual models from natural language supervision

Reference 23

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This paper cites Natural Image Reconstruction From fMRI Using Deep Learning: A Survey.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Natural Image Reconstruction From fMRI Using Deep Learning: A Survey

Reference 24

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Generative adversarial networks for reconstructing natural images from brain activity

Reference 25

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Deep image reconstruction from human brain activity

Reference 26

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Axiomatic Attribution for Deep Networks

Reference 28

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Unresolved cited work

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Attention is All you Need

Reference 30

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Inception loops discover what excites neurons most using deep predictive models

Reference 31

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This paper cites Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset

Reference 32

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Disentangled Representation Learning

Reference 33

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BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images

Reference 34

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This paper cites The feature-weighted receptive field: an interpretable encoding model for complex feature spaces.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex The feature-weighted receptive field: an interpretable encoding model for complex feature spaces

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations.

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations

Reference 36

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