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Paper Citation Record · LEDGER

Neural encoding with affine feature response transforms

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.03741.

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

pith.paper-citation-record.v1
2501.03741 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:51:52.154751Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec2e694f-45d4-4655-b818-1c91f386f098 · outbound

This paper cites A primer on encoding models in sensory neuroscience.

Neural encoding with affine feature response transforms A primer on encoding models in sensory neuroscience

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c3e3a26-fab5-4cdb-b903-9bac653cfc11 · outbound

This paper cites Performance-optimized hierarchical models predict neural responses in higher visual cortex.

Neural encoding with affine feature response transforms Performance-optimized hierarchical models predict neural responses in higher visual cortex

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db24029d-a001-42e8-8389-1e9c3632ce81 · outbound

This paper cites Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream.

Neural encoding with affine feature response transforms Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f49baee3-97f8-4a81-9394-326a66a1b95f · outbound

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

Neural encoding with affine feature response transforms The feature-weighted receptive field: an interpretable encoding model for complex feature spaces

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d813702-6fd2-475f-bccb-825bd690ed1f · outbound

This paper cites Characterizing the ventral visual stream with response-optimized neural encoding models.

Neural encoding with affine feature response transforms Characterizing the ventral visual stream with response-optimized neural encoding models

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4afbdd62-128d-4871-ba97-f5dd61c138fe · outbound

This paper cites A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy.

Neural encoding with affine feature response transforms A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy

Reference 6

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Observation 5da24785-8bfd-4280-8e09-04b6cbf4e82a · outbound

This paper cites Identifying natural images from human brain activity.

Neural encoding with affine feature response transforms Identifying natural images from human brain activity

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3aa3515b-2f9e-4c37-9bd5-b892e6aac254 · outbound

This paper cites Recurrence is required to capture the representational dynamics of the human visual system.

Neural encoding with affine feature response transforms Recurrence is required to capture the representational dynamics of the human visual system

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b2bdc35d-2e12-497e-ab33-46bf5228a48d · outbound

This paper cites Vector-based navigation using grid-like representations in artificial agents.

Neural encoding with affine feature response transforms Vector-based navigation using grid-like representations in artificial agents

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 70935e9b-97c6-49cc-adb9-fec7546cb54b · outbound

This paper cites Neural encoding with visual attention.

Neural encoding with affine feature response transforms Neural encoding with visual attention

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8808ab10-1a0c-4224-a3cd-6d2b2caf7c84 · outbound

This paper cites what” and “where.

Neural encoding with affine feature response transforms what” and “where

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b2aa14d-8197-4d17-b23e-51fdfad4d393 · outbound

This paper cites Deep convolutional models improve predictions of macaque V1 responses to natural images.

Neural encoding with affine feature response transforms Deep convolutional models improve predictions of macaque V1 responses to natural images

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8f60c343-8580-40cd-b17e-0e5e0a671d29 · outbound

This paper cites Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex.

Neural encoding with affine feature response transforms Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94c11e2d-921d-441e-9dea-416cd99087aa · outbound

This paper cites Spatial transformer networks.

Neural encoding with affine feature response transforms Spatial transformer networks

Reference 14

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fe14ee38-d813-4d5b-8d94-0513066824e7 · outbound

This paper cites A method for stochastic optimization.

Neural encoding with affine feature response transforms A method for stochastic optimization

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6611a866-7358-477e-9a36-3e5944baa420 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Neural encoding with affine feature response transforms Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 287446ef-4740-4233-bf0f-55a82b3998ee · outbound

This paper cites Deep residual learning for image recognition.

Neural encoding with affine feature response transforms Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46e7901d-49f9-417b-af09-f3088451e37e · outbound

This paper cites Top-down influences on visual processing.

Neural encoding with affine feature response transforms Top-down influences on visual processing

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 46a20c0b-3456-43c0-825f-c5783c173ea8 · outbound

This paper cites Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images.

Neural encoding with affine feature response transforms Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a1d1ab53-663b-499c-a7ad-f2b9dd062e65 · outbound

This paper cites Shape perception via a high-channel- count neuroprosthesis in monkey visual cortex.

Neural encoding with affine feature response transforms Shape perception via a high-channel- count neuroprosthesis in monkey visual cortex

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e749544f-997d-4a97-b98a-c4491561b2c1 · outbound

This paper cites 1024-channel electrophysiological recordings in macaque V1 and V4 during resting state.

Neural encoding with affine feature response transforms 1024-channel electrophysiological recordings in macaque V1 and V4 during resting state

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4c89c23d-f46d-4983-86dd-fbd6539ba40b · outbound

This paper cites Comparisons of the dynamics of local field potential and multiunit activity signals in macaque visual cortex.

Neural encoding with affine feature response transforms Comparisons of the dynamics of local field potential and multiunit activity signals in macaque visual cortex

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db166fd0-0513-4cff-ac5a-661c4a778c89 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Neural encoding with affine feature response transforms MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f79d902-2ff5-4f38-9875-875ca0eef02e · outbound

This paper cites A voxel- wise encoding model for early visual areas decodes mental images of remembered scenes.

Neural encoding with affine feature response transforms A voxel- wise encoding model for early visual areas decodes mental images of remembered scenes

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b20db7e0-71b2-4453-8292-6f23a4f518ff · outbound

This paper cites End-to-end optimization of prosthetic vision.

Neural encoding with affine feature response transforms End-to-end optimization of prosthetic vision

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.