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Paper Citation Record · LEDGER

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.13647.

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

pith.paper-citation-record.v1
2607.13647 v1

Coverage vector

measured 29 of 29 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T04:37:44.441109Z

measured 29 of 29 standing notices

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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.

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29 of 29 outbound references displayed

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Outbound references

Observation 285eb4e9-207c-405e-ba8c-4cab97c82daa · outbound

This paper cites A survey on vision transformer,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models A survey on vision transformer,

Reference 1

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Observation 43ee2807-e943-4bcf-b214-b1cf59349e53 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Vision-language models for vision tasks: A survey,

Reference 2

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Observation a7ecb842-de60-46bd-8b7d-273824c07fa4 · outbound

This paper cites Color categorization independent of color naming,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Color categorization independent of color naming,

Reference 3

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Observation 1a0436a5-00a9-4a3e-ba53-5a3958cfca7e · outbound

This paper cites Can language models encode perceptual structure without grounding? a case study in color,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Can language models encode perceptual structure without grounding? a case study in color,

Reference 4

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Observation 4abeac60-7dfb-45b0-9808-db557cd7abea · outbound

This paper cites Color models in image processing: a review and experimental comparison,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Color models in image processing: a review and experimental comparison,

Reference 5

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Observation db6a5580-d582-46e6-a81c-445ed1e78d52 · outbound

This paper cites Mapping language models to grounded con- ceptual spaces,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Mapping language models to grounded con- ceptual spaces,

Reference 6

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Observation 7a760929-522b-41e2-8f2f-4bd5cc9ef3b7 · outbound

This paper cites Grounding the vector space of an octopus: Word meaning from raw text,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Grounding the vector space of an octopus: Word meaning from raw text,

Reference 7

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Observation 0e5a93c2-caa5-40d9-895a-0d3c730f5e26 · outbound

This paper cites World color survey,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models World color survey,

Reference 8

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Observation 75a11277-7aef-4b20-93aa-26940af46ba3 · outbound

This paper cites Colibri fuzzy model: Color linguistic-based representation and interpretation,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Colibri fuzzy model: Color linguistic-based representation and interpretation,

Reference 9

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Observation 408e0c0b-7324-4208-8e61-4379f15ca7de · outbound

This paper cites Berlin and P.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Berlin and P

Reference 10

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Observation 6e4667e1-f14e-4920-99c8-0ab34df79c72 · outbound

This paper cites Efficient compression in color naming and its evolution,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Efficient compression in color naming and its evolution,

Reference 11

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Observation 24b58094-5df3-4b85-9a2e-525e47489ea5 · outbound

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

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Representational similarity analysis – connecting the branches of systems neuroscience,

Reference 12

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Observation 5670b86f-8d34-4449-a509-29a277d4640c · outbound

This paper cites Getting aligned on representational alignment.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Getting aligned on representational alignment

Reference 13

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Observation 3c96eb1a-fa20-45ab-b898-a463ed801ecb · outbound

This paper cites Human alignment of neural network representations.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Human alignment of neural network representations

Reference 14

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Observation 2e2c8e08-483f-4421-8dfb-4702a9ae8dcd · outbound

This paper cites A large-scale examination of inductive biases shaping high-level visual representation in brains and machines,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models A large-scale examination of inductive biases shaping high-level visual representation in brains and machines,

Reference 15

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Observation 481ab23f-de9d-49c8-9718-f726de922ccb · outbound

This paper cites Colorbench: Can vlms see and understand the colorful world? a comprehensive benchmark for color perception, reasoning, and robustness,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Colorbench: Can vlms see and understand the colorful world? a comprehensive benchmark for color perception, reasoning, and robustness,

Reference 16

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Observation b9245eee-aebc-4bde-8a67-550f7e568fc9 · outbound

This paper cites Do masked autoencoders learn a human- like geometry of neural representation? divergence and convergence across brains and machines during naturalistic vision,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Do masked autoencoders learn a human- like geometry of neural representation? divergence and convergence across brains and machines during naturalistic vision,

Reference 17

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Observation e91ef8fb-6d1a-4eb5-b125-8c42c59bbfbb · outbound

This paper cites Exploring the categorical nature of colour perception: Insights from artificial networks,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Exploring the categorical nature of colour perception: Insights from artificial networks,

Reference 18

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Observation 1392acd8-748a-4184-9d40-63ed3090263c · outbound

This paper cites Systematic comparison of color representations between humans and deep neural networks: towards predicting human color perception in a vast color space,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Systematic comparison of color representations between humans and deep neural networks: towards predicting human color perception in a vast color space,

Reference 19

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Observation 5688b0ee-bbdd-46f7-bd0b-d47df7d32417 · outbound

This paper cites Parametric fuzzy sets for automatic color naming,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Parametric fuzzy sets for automatic color naming,

Reference 20

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Observation b7fc7b3b-7e31-455c-b533-703297c37f84 · outbound

This paper cites The ciede2000 color-difference formula: Implementation notes, supplementary test data, and mathemat- ical observations,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models The ciede2000 color-difference formula: Implementation notes, supplementary test data, and mathemat- ical observations,

Reference 21

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Observation 9e602dd8-f984-4873-819c-f67ab8d31c8e · outbound

This paper cites Megacoin: enhancing medium-grained color perception for vision-language models,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Megacoin: enhancing medium-grained color perception for vision-language models,

Reference 22

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Observation 5d9cc3fa-f7d7-4272-85fb-77373e2c1e05 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Learning transferable visual models from natural language supervision,

Reference 23

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Observation 858c14d2-8e87-4494-94e4-05a9e5b92aeb · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Reproducible scaling laws for contrastive language-image learning,

Reference 24

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Observation 753792d8-1fa1-435e-8532-3052d1e26d40 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Sigmoid loss for language image pre-training,

Reference 25

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Observation 21ff37af-7ecb-46fe-9cbc-bbd19c4df96e · outbound

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

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 26

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Observation 4829b9fb-9e38-40df-9918-a1c0e6f6ee99 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 27

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Observation 86ae5467-94bd-401f-9233-b21b9e3c221b · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models Masked au- toencoders are scalable vision learners,

Reference 28

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Observation 53269389-4bc0-499c-8f9e-ee7a201a3fb9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models DINOv2: Learning Robust Visual Features without Supervision

Reference 29

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