Paper Citation Record · LEDGER

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.04379.

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

pith.paper-citation-record.v1
2506.04379 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:55.135244Z

measured 24 of 24 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 444dd14b-7083-4302-b9da-6b42f6a93b63 · outbound

This paper cites an unresolved cited work.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:47:56.370146Z

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 f3ab9110-8869-434e-99b1-a4836f6202ef · outbound

This paper cites Nunez- Elizalde, and Jack L.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Nunez- Elizalde, and Jack L

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.327338Z

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 323bf7c3-594b-4f23-a265-73b1fa0c8837 · outbound

This paper cites Visualizing higher-layer features of a deep network.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Visualizing higher-layer features of a deep network

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.278904Z

Source-reported events for the cited work

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Observation 3ce2d5e4-f9af-4bb0-b066-0a9cbe56e9e5 · outbound

This paper cites Gao, Alexander G.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Gao, Alexander G

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.237513Z

Source-reported events for the cited work

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Observation b5994dba-e7f0-4e2f-beb9-538e5fd530a0 · outbound

This paper cites Allen, Yihan Wu, Ghislain St-Yves, Thomas Nase- laris, Kendrick Kay, Mert R.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Allen, Yihan Wu, Ghislain St-Yves, Thomas Nase- laris, Kendrick Kay, Mert R

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.180158Z

Source-reported events for the cited work

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Observation 3bc34d57-945e-483c-9142-d8ce0870f495 · outbound

This paper cites Guclu and M.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Guclu and M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.136621Z

Source-reported events for the cited work

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Observation 4cd91911-4024-45ab-bafe-03a25bf7a3cb · outbound

This paper cites Hansen, Kendrick N.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Hansen, Kendrick N

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.099208Z

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 b7ed6569-6886-48f8-b22c-9771f19e48ad · outbound

This paper cites Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , pages 346–361.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , pages 346–361

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.058122Z

Source-reported events for the cited work

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Observation 7f483e17-54c2-4935-870c-df06879f7341 · outbound

This paper cites Huth, Shinji Nishimoto, An T.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Huth, Shinji Nishimoto, An T

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:56.016183Z

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 531916ce-bcb7-4bc2-b3df-35a5cac3b930 · outbound

This paper cites Kennedy, Sarala N.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Kennedy, Sarala N

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.954581Z

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 0c5f5cb1-2937-4924-8cf9-9baf4bbbf4dc · outbound

This paper cites Deep neural networks: A new frame- work for modeling biological vision and brain information processing.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Deep neural networks: A new frame- work for modeling biological vision and brain information processing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.907054Z

Source-reported events for the cited work

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Observation 746db313-0f6a-4330-9274-52a141bc08d2 · outbound

This paper cites Deep learning.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.855514Z

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 f7615882-5197-4164-9e47-f92a9a159660 · outbound

This paper cites Luo, Margaret M.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Luo, Margaret M

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.814396Z

Source-reported events for the cited work

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Observation e03447de-1c58-4283-b1ae-0413a153e53b · outbound

This paper cites Kay, Shinji Nishimoto, and Jack L.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Kay, Shinji Nishimoto, and Jack L

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.769279Z

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 b2dcbb5f-bcee-4700-b518-a24a2f6a66b1 · outbound

This paper cites Multifaceted feature visualization: Uncovering the different types of fea- tures learned by each neuron in deep neural networks, 2016.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Multifaceted feature visualization: Uncovering the different types of fea- tures learned by each neuron in deep neural networks, 2016

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.738084Z

Source-reported events for the cited work

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Observation 9e06691b-6f5c-4fbf-9541-213bff1080c4 · outbound

This paper cites Feature visualization.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Feature visualization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.686297Z

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 b99cc937-133b-4fbb-bec8-4483f210446d · outbound

This paper cites Ponce, Will Xiao, Peter F.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Ponce, Will Xiao, Peter F

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.604184Z

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 f4d63e1f-7a7c-4bd7-a64a-331747403ddd · outbound

This paper cites Visual and linguistic semantic representa- tions are aligned at the border of human visual cortex.Nature Neuroscience, 24(11):1628–1636, 2021.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Visual and linguistic semantic representa- tions are aligned at the border of human visual cortex.Nature Neuroscience, 24(11):1628–1636, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.527743Z

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 c5def8b1-c75a-49ef-aec7-ff9d7927f5c9 · outbound

This paper cites Improving the accuracy of single-trial fmri response estimates using glmsingle.eLife, 11, 2022.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Improving the accuracy of single-trial fmri response estimates using glmsingle.eLife, 11, 2022

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.475175Z

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 882e4b11-4184-4234-8a8c-ecb371d07731 · outbound

This paper cites Rethinking the in- ception architecture for computer vision, 2015.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Rethinking the in- ception architecture for computer vision, 2015

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.407629Z

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 db101834-4609-4f53-ba5c-0e622b49e2c7 · outbound

This paper cites an unresolved cited work.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:47:55.365951Z

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 9d3a8e3f-6743-4378-8dae-0de91aac5fd4 · outbound

This paper cites Prediction accuracy was noise-ceiling cor- rected and averaged across voxels and subjects for each re- gion of interest (ROI).

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Prediction accuracy was noise-ceiling cor- rected and averaged across voxels and subjects for each re- gion of interest (ROI)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.333499Z

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 4fcd3d04-1da7-413e-ab68-d1e6540927a7 · outbound

This paper cites fMRI Data Acquisition and Preprocessing For fitting our DNN-based encoding models, we used BOLD fMRI responses to a large set of naturalistic movie clips from Huth et al.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization fMRI Data Acquisition and Preprocessing For fitting our DNN-based encoding models, we used BOLD fMRI responses to a large set of naturalistic movie clips from Huth et al

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.294799Z

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 cdef9057-f850-476c-9c27-1e67feabb0a7 · outbound

This paper cites Adaptive Spatial Downsampling: To manage the high dimensionality of activations from convolutional layers, we employ adaptive spatial pooling.

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization Adaptive Spatial Downsampling: To manage the high dimensionality of activations from convolutional layers, we employ adaptive spatial pooling

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:55.250573Z

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.

Pith citing papers

No inbound Pith citation observations are available.