Paper Citation Record · LEDGER

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.13281.

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

pith.paper-citation-record.v1
2505.13281 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:48.966097Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

49 of 49 outbound references displayed

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verified fuzzy12
unresolved28
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External citation measurements

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Outbound references

Observation 404f6919-e901-43b2-b9ba-d0cc2deea2b6 · outbound

This paper cites write newline.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts write newline

Reference 1

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Observation 555ab9ed-e6a7-4bce-ab5b-65c0bc5bd107 · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 2

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Observation 2d85b23a-4850-41c7-b013-979e40ac56ac · outbound

This paper cites , Park, B.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Park, B

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:49.698199Z

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Observation a83f4575-3867-4702-bbf6-7c01abc6d7d8 · outbound

This paper cites Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Human-Like Geometric Abstraction in Large Pre-trained Neural Networks

Reference 4

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Observation 9f5bed01-6781-4b36-bc61-27b18763c1bc · outbound

This paper cites \ Bergen, B K.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Bergen, B K

Reference 5

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Observation 24c70466-bff9-41c2-84da-65ccd8da8fd2 · outbound

This paper cites \ Vallortigara, G.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Vallortigara, G

Reference 6

Resolution: verified exact; doi, observed 2026-08-15T20:21:49.057346Z

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Observation dde2a8f7-50c5-44fb-89a7-c49d5ecdf9ca · outbound

This paper cites Testing Relational Understanding in Text-Guided Image Generation.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Testing Relational Understanding in Text-Guided Image Generation

Reference 7

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Observation 5b688fe9-a490-49ed-aad3-934d54b4aec1 · outbound

This paper cites On the Relationship between Self-Attention and Convolutional Layers.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts On the Relationship between Self-Attention and Convolutional Layers

Reference 8

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Observation 1c5b0ae0-c574-4f3b-9561-6b2fc04c394e · outbound

This paper cites , Cavicchi, S.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Cavicchi, S

Reference 9

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Observation 4365b7a4-9977-4317-8307-8fe1cf0e852d · outbound

This paper cites , Izard, V.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Izard, V

Reference 10

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Observation 2ee54ef5-a0c1-419a-9d49-90586a5fab01 · outbound

This paper cites , Dong, W.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Dong, W

Reference 11

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Observation 6619f609-5b14-4688-b7ba-89b75f2f80f5 · outbound

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

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation 0d6d79c8-bbf7-41c2-bd98-ea616df2dec3 · outbound

This paper cites Language acquisition: do children and language models follow similar learning stages?.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Language acquisition: do children and language models follow similar learning stages?

Reference 13

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This paper cites APACrefauthors \ 1979.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 1979

Reference 14

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Observation 1c5d5f46-bbab-4263-a2ee-3184bc95ea51 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Deep Residual Learning for Image Recognition

Reference 15

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Observation f7c04bca-b4b8-47b7-a0ea-1d196d7f3158 · outbound

This paper cites HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models

Reference 16

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Observation c7c70a41-5b78-4e39-b8f1-ddc23b90bff9 · outbound

This paper cites Geoclidean: Few-Shot Generalization in Euclidean Geometry.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Geoclidean: Few-Shot Generalization in Euclidean Geometry

Reference 17

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Observation f7e5a6b0-22fe-43f4-8263-788d1701776e · outbound

This paper cites \ Spelke, E S.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Spelke, E S

Reference 18

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Observation ddb01e66-7c33-4eb6-8989-500291df3d48 · outbound

This paper cites , Pramod, R T.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Pramod, R T

Reference 19

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Observation 0fb7549b-fb8b-4ec0-9c93-198819adb910 · outbound

This paper cites Spatial Transformer Networks.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Spatial Transformer Networks

Reference 20

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This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 21

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Observation d9fd0454-15ef-4b1e-99d9-394bfe3acca9 · outbound

This paper cites Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?

Reference 22

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Observation d8a69319-a8f9-4dd7-869b-957aa2d57510 · outbound

This paper cites Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models

Reference 23

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Observation 9ab52c0e-ed71-4240-bc62-b741d52b87c2 · outbound

This paper cites , Sutskever, I.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Sutskever, I

Reference 24

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Observation 848dada9-c715-4c99-95d6-aa786ff81832 · outbound

This paper cites TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:21:49.383845Z

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Observation 4a3b76f1-5066-4a4b-9b68-694dfa325df0 · outbound

This paper cites APACrefauthors \ 2021 09.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 2021 09

Reference 26

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Pan, J

Reference 27

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Observation 94f56edc-a299-4f47-84ea-ca45d2ac3978 · outbound

This paper cites Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models

Reference 28

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Observation db8dfb3d-62c8-4c5c-a0c9-c05e120b790a · outbound

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations

Reference 29

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This paper cites \ Varma, S.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Varma, S

Reference 30

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Mumuni, F

Reference 31

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Dippel, J

Reference 32

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Observation 5585b965-db53-4444-865d-8ef35ae04e15 · outbound

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Linhardt, L

Reference 33

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts DINOv2: Learning Robust Visual Features without Supervision

Reference 34

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 1991 09

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Observation be51eebf-70f5-4743-9cd9-12bcfc92b5b0 · outbound

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Connor, C E

Reference 36

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 2022

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Learning Transferable Visual Models From Natural Language Supervision

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This paper cites Do Vision Transformers See Like Convolutional Neural Networks?.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Do Vision Transformers See Like Convolutional Neural Networks?

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Ellis, K

Reference 40

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Cogswell, M

Reference 41

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models

Reference 42

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 1994 03

Reference 43

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Observation f68eea51-d0e2-4a18-8066-3e159b04cc55 · outbound

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

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Very Deep Convolutional Networks for Large-Scale Image Recognition

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts \ Kinzler, K D

Reference 45

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 46

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts , Marupudi, V

Reference 47

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Observation 32ab1223-b3e6-4309-8ee5-c099e86f5daf · outbound

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts APACrefauthors \ 2018 01

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:21:49.136768Z

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Observation 5ae9a529-a74f-4c47-a5fe-093b5cf0aca6 · outbound

This paper cites How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect

Reference 49

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Pith citing papers

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