Paper Citation Record · LEDGER

Disentangling the Factors of Convergence between Brains and Computer Vision Models

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 8 inbound Pith citation observations for arXiv:2508.18226.

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

pith.paper-citation-record.v1
2508.18226 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:32:28.456536Z

measured 70 of 70 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:52:46.821185Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

62 of 62 outbound references displayed

verified exact12
verified fuzzy15
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 73fbd1b2-4dab-4d95-851c-88888253d0b3 · outbound

This paper cites write newline.

Disentangling the Factors of Convergence between Brains and Computer Vision Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.330141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88960a67-ad2b-456b-8323-95a751ed06e7 · outbound

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

Disentangling the Factors of Convergence between Brains and Computer Vision Models Allen, Ghislain St-Yves, Yihan Wu, Jesse L

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.332933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938dbe43-fc70-47d2-a54c-e3724789e90e · outbound

This paper cites Scaling laws for decoding images from brain activity.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Scaling laws for decoding images from brain activity

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.335241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edbbcd6c-6051-435c-948b-f62271a3bd4a · outbound

This paper cites Tomasini, Alessandro Favero, and Matthieu Wyart.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Tomasini, Alessandro Favero, and Matthieu Wyart

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.337838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25835d4f-8b08-4aca-85e7-befc0abee783 · outbound

This paper cites Brains and algorithms partially converge in natural language processing.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Brains and algorithms partially converge in natural language processing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.043871Z

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 d1e9df7e-8a97-486f-8216-314ce4615800 · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.342195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488837d9-be0d-45d7-abca-5568cc61b5b8 · outbound

This paper cites Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.344321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258f016e-9468-4a9f-9b3a-4b42ee789105 · outbound

This paper cites Prince, George A.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Prince, George A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.032985Z

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 ae8cbf43-850f-4fa9-800d-e4220c648851 · outbound

This paper cites What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines? BioRxiv, pages 2022--03, 2022.

Disentangling the Factors of Convergence between Brains and Computer Vision Models What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines? BioRxiv, pages 2022--03, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.026534Z

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 7ff33ecc-eab9-4c30-b484-26f2c26dd3ec · outbound

This paper cites How we learn: Why brains learn better than any machine.

Disentangling the Factors of Convergence between Brains and Computer Vision Models How we learn: Why brains learn better than any machine

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.019802Z

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 edf4d1b8-df29-4a60-a28b-1e458f6e40a6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Imagenet: A large-scale hierarchical image database

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.352131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03feb369-da93-4ce4-8d8a-926e1f81efa3 · outbound

This paper cites How does the brain solve visual object recognition? Neuron, 73 0 (3): 0 415--434, 2012.

Disentangling the Factors of Convergence between Brains and Computer Vision Models How does the brain solve visual object recognition? Neuron, 73 0 (3): 0 415--434, 2012

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.013454Z

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 6ed9c668-dcbd-4492-a576-c8d45843a57a · outbound

This paper cites Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, and Ian Charest.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, and Ian Charest

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.356110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50be4f41-7102-49ca-904c-51e5eced8337 · outbound

This paper cites Seeing it all: Convolutional network layers map the function of the human visual system.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Seeing it all: Convolutional network layers map the function of the human visual system

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:29.006886Z

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 48bae1dd-23bf-4a87-90eb-1affb694b8a6 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Dermatologist-level classification of skin cancer with deep neural networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.360086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f139d4-89df-417a-8457-757fb4a2753d · outbound

This paper cites Emergence of language in the developing brain.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Emergence of language in the developing brain

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.996582Z

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 9721d7cd-8080-4d3b-ba8b-fb08f8984d98 · outbound

This paper cites Distributed hierarchical processing in the primate cerebral cortex.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Distributed hierarchical processing in the primate cerebral cortex

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.363999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959472e3-c6e7-434c-8fe1-9c74ab396d68 · outbound

This paper cites Freesurfer.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Freesurfer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.366299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf8e8a6-2d38-46fb-8dca-c955d51d2dc6 · outbound

This paper cites Gifford, Maya A.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Gifford, Maya A

Reference 19

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.551585Z

Source-reported events for the cited work

correction dated 2025-11-18. Source: crossref record 10.1038/s41562-025-02370-8->10.1038/s41562-025-02252-z:correction, observed 2026-07-11T02:58:23.028534+00:00. This notice travels one citation hop only.

Observation 767c7c4e-d39a-474f-9b8a-b18bbc8ab009 · outbound

This paper cites Meg and eeg data analysis with mne-python.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Meg and eeg data analysis with mne-python

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.370526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e545ff-8186-4013-aca3-571cd6378ad0 · outbound

This paper cites an unresolved cited work.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.545420Z

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 0c9553f9-1038-4309-995a-a2ccb831cd69 · outbound

This paper cites Nastase, and Ariel Goldstein.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Nastase, and Ariel Goldstein

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.374589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94144476-b08e-4b8a-8f9c-25e7b70d5f01 · outbound

This paper cites things-meg.

Disentangling the Factors of Convergence between Brains and Computer Vision Models things-meg

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.983055Z

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 25919cdf-a094-4b24-970b-3e6cecfb2247 · outbound

This paper cites THINGS -data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior.

Disentangling the Factors of Convergence between Brains and Computer Vision Models THINGS -data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.378487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e8d10c-66be-41ff-9244-2879aa3fae50 · outbound

This paper cites Similar patterns of cortical expansion during human development and evolution.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Similar patterns of cortical expansion during human development and evolution

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.976224Z

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 fd7669c2-4b53-42aa-9345-c3deb872689f · outbound

This paper cites The Platonic Representation Hypothesis.

Disentangling the Factors of Convergence between Brains and Computer Vision Models The Platonic Representation Hypothesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.382573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9caf081a-a6d6-4c6b-9607-bf5fc0752db9 · outbound

This paper cites Characterizing the dynamics of mental representations: the temporal generalization method.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Characterizing the dynamics of mental representations: the temporal generalization method

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.384809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216320b4-90bb-4c5b-bf68-864430c16927 · outbound

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

Disentangling the Factors of Convergence between Brains and Computer Vision Models Deep neural networks: A new framework for modeling biological vision and brain information processing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.386869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86dce226-ef28-47ee-a35f-1faa12d773f8 · outbound

This paper cites Representational similarity analysis-connecting the branches of systems neuroscience.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Representational similarity analysis-connecting the branches of systems neuroscience

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.966281Z

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 2cc05041-564c-49c0-9d4e-cd82b6ae957e · outbound

This paper cites Feature-space selection with banded ridge regression.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Feature-space selection with banded ridge regression

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.959963Z

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 790b6919-b16a-42e6-acf0-f942ff52baa7 · outbound

This paper cites De Lorenci, Seung Eun Yi, Th \'e o Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C.

Disentangling the Factors of Convergence between Brains and Computer Vision Models De Lorenci, Seung Eun Yi, Th \'e o Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.953843Z

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 d4688b5c-2105-4a27-a2b1-a447060d9c4f · outbound

This paper cites Mahner, Lukas Muttenthaler, Umut G\" u c l\" u , and Martin N.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Mahner, Lukas Muttenthaler, Umut G\" u c l\" u , and Martin N

Reference 32

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.528195Z

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 b5a42444-e7fa-48c0-9be1-5591c1306d64 · outbound

This paper cites Neuromaps: structural and functional interpretation of brain maps.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Neuromaps: structural and functional interpretation of brain maps

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.947392Z

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 c05a21d0-6ca6-4528-9803-b493e6ab9a7e · outbound

This paper cites Spoerer, Nikolaus Kriegeskorte, and Tim C.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Spoerer, Nikolaus Kriegeskorte, and Tim C

Reference 34

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.521623Z

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 26d1bd08-5ca3-4d19-b570-4980a2056c79 · outbound

This paper cites Toward a realistic model of speech processing in the brain with self-supervised learning.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Toward a realistic model of speech processing in the brain with self-supervised learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.400389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c567f0a8-cb47-4bc5-911b-0dbdf3444bb5 · outbound

This paper cites Encoding and decoding in fMRI.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Encoding and decoding in fMRI

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.402785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994fd9cb-ecca-4bf0-a5b0-f1ce824f10c4 · outbound

This paper cites Modality-Agnostic fMRI Decoding of Vision and Language.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Modality-Agnostic fMRI Decoding of Vision and Language

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:32:28.820293Z

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 60b7dc80-8aa1-45de-b4e4-a7ab7db263f2 · outbound

This paper cites Pedregosa, G.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Pedregosa, G

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.406867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ce2de7-e3fb-429f-8236-221836b112d1 · outbound

This paper cites Brain-like emergent properties in deep networks: impact of network architecture, datasets and training, 2024.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Brain-like emergent properties in deep networks: impact of network architecture, datasets and training, 2024

Reference 39

Resolution: verified exact; raw_fallback, observed 2026-08-05T16:32:28.811575Z

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 4ea07ab8-143b-4417-a0d5-69bc89bd5d55 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Disentangling the Factors of Convergence between Brains and Computer Vision Models You Only Look Once: Unified, Real-Time Object Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.410808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf0c002c-ec4b-45c4-9530-15e6f3211e55 · outbound

This paper cites Majaj, Rishi Rajalingham, Elias B.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Majaj, Rishi Rajalingham, Elias B

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.413038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a96b68-e5bb-462e-b898-ac10ac2318a4 · outbound

This paper cites Seeliger, M.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Seeliger, M

Reference 42

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.510971Z

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 4a5d7a33-f0ff-4b5f-9eb8-134e9d8b9082 · outbound

This paper cites Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

Reference 43

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.503540Z

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 1724b557-3b70-49aa-bcb3-2d1a07cf180b · outbound

This paper cites Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.418936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e801f18-b8e4-473b-87ac-7f57d956585a · outbound

This paper cites an unresolved cited work.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Unresolved cited work

Reference 45

Resolution: verified exact; raw_fallback, observed 2026-08-05T16:32:28.745792Z

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 e30cad62-9bbc-4c50-a7ce-b698b07ceb1e · outbound

This paper cites Representations in vision and language converge in a shared, multidimensional space of perceived similarities.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Representations in vision and language converge in a shared, multidimensional space of perceived similarities

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:32:28.674050Z

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 e83a9504-cfc2-4ae0-8628-1c67f82fd9d6 · outbound

This paper cites Solomon, K.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Solomon, K

Reference 47

Resolution: verified exact; doi, observed 2026-08-05T16:32:28.495272Z

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 b80afeaf-d4a0-4a12-b3f6-f1a5fe4053d9 · outbound

This paper cites Brain encoding models based on multimodal transformers can transfer across language and vision.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Brain encoding models based on multimodal transformers can transfer across language and vision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.427194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e8a28e4-9c59-4c81-94fe-563683231ec2 · outbound

This paper cites Many-two-one: Diverse representations across visual pathways emerge from a single objective.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Many-two-one: Diverse representations across visual pathways emerge from a single objective

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.429143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55a54f1-2e30-41d4-804d-bb863159754e · outbound

This paper cites Prince, Rosa Cao, and Daniel LK Yamins.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Prince, Rosa Cao, and Daniel LK Yamins

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.933241Z

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 78756f13-01a8-41e9-901b-a89cb9bc8d78 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Disentangling the Factors of Convergence between Brains and Computer Vision Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.433376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7355ff8e-4dc5-492f-a78e-0fab0ab26332 · outbound

This paper cites The wu-minn human connectome project: an overview.

Disentangling the Factors of Convergence between Brains and Computer Vision Models The wu-minn human connectome project: an overview

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.435503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f5f9e1-157c-488c-8498-20c57ad13a22 · outbound

This paper cites When Representations Align: Universality in Representation Learning Dynamics.

Disentangling the Factors of Convergence between Brains and Computer Vision Models When Representations Align: Universality in Representation Learning Dynamics

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:32:28.650305Z

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 669bbae3-f887-443f-97cf-c4542eaaec53 · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Scipy 1.0: fundamental algorithms for scientific computing in python

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.439567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57ca952f-ab40-4e5b-88c5-1702e54a7a0e · outbound

This paper cites Butterfly effects in perceptual development: A review of the ‘adaptive initial degradation’ hypothesis.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Butterfly effects in perceptual development: A review of the ‘adaptive initial degradation’ hypothesis

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.441702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcf23b6-9340-4871-bdd2-a5148d9df6ec · outbound

This paper cites Using goal-driven deep learning models to understand sensory cortex.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Using goal-driven deep learning models to understand sensory cortex

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.443769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67104cd6-02b0-4f6f-8e52-fd29ffb81e8a · outbound

This paper cites an unresolved cited work.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.445677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038dff0b-1b74-42a6-905e-fbf54102d509 · outbound

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

Disentangling the Factors of Convergence between Brains and Computer Vision Models Performance-optimized hierarchical models predict neural responses in higher visual cortex

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:32:28.919721Z

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 89ed0e64-7408-4fe5-b28f-63462fb5376f · outbound

This paper cites Frank, James J.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Frank, James J

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.449722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4349dce9-9305-46dc-b1af-9b25b429978c · outbound

This paper cites @esa (Ref.

Disentangling the Factors of Convergence between Brains and Computer Vision Models @esa (Ref

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.451929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d536a5ce-8018-49e6-a550-81a1eda4ad1d · outbound

This paper cites an unresolved cited work.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.454240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19e4172-5480-4506-ab00-8a877c198b54 · outbound

This paper cites an unresolved cited work.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.456536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d518b432-5c8f-431a-a809-a8ffa93501f3 · inbound

Revisiting the Platonic Representation Hypothesis: An Aristotelian View cites this paper.

Revisiting the Platonic Representation Hypothesis: An Aristotelian View Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T23:15:07.389287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb69e30-2fa9-4bb7-baf2-92169d872803 · inbound

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning cites this paper.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.562853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cf39d9-17e7-4868-a17c-408a2a744879 · inbound

CanViT: Toward Active-Vision Foundation Models cites this paper.

CanViT: Toward Active-Vision Foundation Models Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:34:06.870713Z

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 13ce004e-9c2e-41ca-877a-084aa4874708 · inbound

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST cites this paper.

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:48.602929Z

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 0e60ac74-a3ef-4073-b00d-2926d4a8b81c · inbound

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images cites this paper.

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.710792Z

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 1f9da0d2-7ce2-43a9-bd10-c908ec94a1e3 · inbound

What Makes Linguistic Representations Good Models of High-Level Visual Perception in the Human Brain? cites this paper.

What Makes Linguistic Representations Good Models of High-Level Visual Perception in the Human Brain? Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:47.506877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbe754e9-053f-45b5-bbfb-43f5830b1cba · inbound

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers cites this paper.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:37.020415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21cb9c76-161e-4b03-a36a-77963b44bede · inbound

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers cites this paper.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.821185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.