Paper Citation Record · LEDGER

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2510.19229.

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

pith.paper-citation-record.v1
2510.19229 v2

Coverage vector

measured 48 of 48 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:32.917428Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

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Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation a5f3b474-fbbd-4d99-9cba-a1161c13ce4e · outbound

This paper cites Digraph Clustering by the BlueRed Method.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Digraph Clustering by the BlueRed Method

Reference 1

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Observation 408eb834-6ca7-4796-b0dc-fe4f823597e5 · outbound

This paper cites Parallel Clustering with Res- olution Variation.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Parallel Clustering with Res- olution Variation

Reference 2

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Observation fea2c915-d322-4701-a2ce-a1aff404403f · outbound

This paper cites Perceptual Cues That Permit Categorical Differentiation of Animal Species by Infants.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Perceptual Cues That Permit Categorical Differentiation of Animal Species by Infants

Reference 3

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Observation c7cafeb9-9a7c-4d12-8c84-786b66881c35 · outbound

This paper cites Basic-Level and Superordinate-like Categorical Repre- sentations in Early Infancy.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Basic-Level and Superordinate-like Categorical Repre- sentations in Early Infancy

Reference 4

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Observation 7ac04fe7-52cf-4384-8875-269b40d7ce86 · outbound

This paper cites Categorization in Infancy.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Categorization in Infancy

Reference 5

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Observation 7e00fa86-6e4a-46f0-83f0-751e9d8fa70d · outbound

This paper cites The Development of Visual Attention in Infancy.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition The Development of Visual Attention in Infancy

Reference 6

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Observation 121ad2e9-f94e-435c-8790-cb42053d9556 · outbound

This paper cites Krizhevsky.Learning Multiple Layers of Features from Tiny Images.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Krizhevsky.Learning Multiple Layers of Features from Tiny Images

Reference 7

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Observation eb34b6d9-0d64-4d03-a36e-b85a80acca01 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Deep Residual Learning for Image Recognition

Reference 8

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Observation 2e0c969a-62e4-41bf-80b6-b9960f572e0a · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition A Simple Framework for Contrastive Learning of Visual Representations

Reference 9

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Observation 47403714-347f-4fe2-8f03-966490f57c6c · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Bootstrap your own latent: A new approach to self-supervised Learning

Reference 10

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Observation 64292fe5-5fe7-45ba-9b18-92e4606cc627 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Emerging Properties in Self-Supervised Vision Transformers

Reference 11

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Observation 04907e5e-8a31-4523-8fa6-ccfc1e90bafb · outbound

This paper cites Building Machines That Learn and Think Like People.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Building Machines That Learn and Think Like People

Reference 12

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Observation 2189921b-cd12-47c7-b68d-9377d411eb24 · outbound

This paper cites Least Squares Quantization in PCM.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Least Squares Quantization in PCM

Reference 13

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Observation e9358ddb-891c-46d9-9a58-40be882d66e9 · outbound

This paper cites Normalized Cuts and Image Segmentation.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Normalized Cuts and Image Segmentation

Reference 14

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This paper cites A Survey of Clustering Data Mining Techniques.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition A Survey of Clustering Data Mining Techniques

Reference 15

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This paper cites A Density-Based Algorithm for Dis- covering Clusters in Large Spatial Databases with Noise.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition A Density-Based Algorithm for Dis- covering Clusters in Large Spatial Databases with Noise

Reference 16

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Observation 4615f9a2-708a-4e70-98af-5b3e1bc03e17 · outbound

This paper cites VisualExperienceinInfants:DecreasedAttentiontoFamiliar Patterns Relative to Novel Ones.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition VisualExperienceinInfants:DecreasedAttentiontoFamiliar Patterns Relative to Novel Ones

Reference 17

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Observation 410a0b07-dae6-42d2-a924-7fe40202c14a · outbound

This paper cites Modeling infant object perception as program induction.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Modeling infant object perception as program induction

Reference 18

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Observation 40b7e08d-8879-40a6-9aae-a9a5fa875ae8 · outbound

This paper cites Eight- Month-Old Infants Meta-Learn by Downweighting Irrelevant Evidence.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Eight- Month-Old Infants Meta-Learn by Downweighting Irrelevant Evidence

Reference 19

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Observation 7d23c89b-81fb-4a42-b31e-613eeab3237e · outbound

This paper cites Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning

Reference 20

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Observation bbdf0e2b-c11a-4f87-a6fb-f8c5941a87af · outbound

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Comparing Partitions

Reference 21

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Objective Criteria for the Evaluation of Clustering Meth- ods

Reference 22

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Observation c5b2d17c-81cd-4523-9c4f-af070decf309 · outbound

This paper cites Cluster Ensembles — A Knowledge Reuse Frame- work for Combining Multiple Partitions.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Cluster Ensembles — A Knowledge Reuse Frame- work for Combining Multiple Partitions

Reference 23

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Observation 6ed4e2b1-90fe-4baa-ad8f-1c6cafe8a55a · outbound

This paper cites V-Measure: A Conditional Entropy- Based External Cluster Evaluation Measure.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition V-Measure: A Conditional Entropy- Based External Cluster Evaluation Measure

Reference 24

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Observation f6cdea60-dc77-4522-bb2f-e28afe5e51f4 · outbound

This paper cites From Louvain to Lei- den: Guaranteeing Well-Connected Communities.

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition From Louvain to Lei- den: Guaranteeing Well-Connected Communities

Reference 25

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Observation eda0d416-3f2e-4351-8f3f-5ea1a72f969c · outbound

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Learning Multiple Layers of Features from Tiny Images

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Fast Un- folding of Communities in Large Networks

Reference 27

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Observation 8746a44f-5013-4ad0-87b7-311680e586c3 · outbound

This paper cites The MNIST Database of Handwritten Digit Images for Ma- chine Learning Research [Best of the Web].

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition The MNIST Database of Handwritten Digit Images for Ma- chine Learning Research [Best of the Web]

Reference 28

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Zhong, X

Reference 29

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition The Development of Categorization in Early Childhood:AReview

Reference 30

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Grana, M

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition ImageNet: A Large-Scale Hierarchical Image Database

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Maximum Likelihood from Incomplete Data via theEMAlgorithm

Reference 34

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Machine Learning Accurately Classifies Neural Responses to Rhythmic Speech vs. Non-Speech from 8-Week-Old Infant EEG

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition A Computational Model of Early Word Learning from the Infant's Point of View

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Curiosity and Exploration: Facilitating Positive Subjective Experiences and Personal Growth Oppor- tunities

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Simplicity and Validity in Infant Research

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Eighteen-Month-Old Infants Represent Nonlo- cal Syntactic Dependencies

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Infants Tailor Their Attention to Maximize Learning

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Comparing Clusterings—an Information Based Distance

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Attention Is All You Need

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Neural Networks and Physical Systems with Emergent Col- lective Computational Abilities

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Infants Use Contextual Memory to Attend and Learn in Naturalistic Scenes

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Baby Intuitions Benchmark (BIB): Discerning the Goals, Preferences, and Actions of Oth- ers

Reference 46

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition How Infant-Directed Actions Enhance Infants’ Attention, Learning, and Exploration: Evidence from EEG and Computational Modeling

Reference 47

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Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition Rapid Infant Learning of Syntactic–Semantic Links

Reference 48

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Pith citing papers

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