Paper Citation Record · LEDGER

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2411.10128.

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

pith.paper-citation-record.v1
2411.10128 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:06.080582Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:22:49.981330Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation bd98aad8-c5c8-40ee-bcac-eaa7a9a7e438 · outbound

This paper cites Gradient-based learning applied to document recognition,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Gradient-based learning applied to document recognition,

Reference 1

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This paper cites Application of deep convolution neural network,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Application of deep convolution neural network,

Reference 2

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Observation ddf83ef5-b6ff-4a7d-ad16-9fa65446e833 · outbound

This paper cites Enhanced feature representation in detection for optical remote sensing images,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Enhanced feature representation in detection for optical remote sensing images,

Reference 3

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This paper cites Autonomous car using cnn deep learning algorithm,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Autonomous car using cnn deep learning algorithm,

Reference 4

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This paper cites Universal consistency of deep convolutional neural networks,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Universal consistency of deep convolutional neural networks,

Reference 5

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This paper cites Deep residual learning for image recognition,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Deep residual learning for image recognition,

Reference 6

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

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 7

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This paper cites Universality of deep convolutional neural networks,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Universality of deep convolutional neural networks,

Reference 8

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This paper cites Contrastive Multi-view Hyperbolic Hierarchical Clustering.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Contrastive Multi-view Hyperbolic Hierarchical Clustering

Reference 9

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This paper cites Hyperbolic k-means for traffic-aware clustering in cloud and virtualized rans,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic k-means for traffic-aware clustering in cloud and virtualized rans,

Reference 10

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Observation cb6ab40f-f508-47e9-a5e5-53c834eca14e · outbound

This paper cites Cross-modal scalable hyperbolic hierarchical clustering,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Cross-modal scalable hyperbolic hierarchical clustering,

Reference 11

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Observation 417d5cfd-262b-4c3b-a334-99f47dc2aeea · outbound

This paper cites Hyperbolic neural networks,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic neural networks,

Reference 12

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Observation fdd0fa01-cc49-4b33-81f8-0e0102a926c1 · outbound

This paper cites Fully Hyperbolic Convolutional Neural Networks for Computer Vision.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 14

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This paper cites Gromov hyperbolic spaces,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Gromov hyperbolic spaces,

Reference 15

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Observation 8900f397-8e38-4b82-9f62-9a897324c105 · outbound

This paper cites Hyperbolic image embeddings,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic image embeddings,

Reference 16

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Observation 49221f14-601d-49f3-b99b-6990a61311f9 · outbound

This paper cites A wrapped normal distribution on hyperbolic space for gradient-based learning,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks A wrapped normal distribution on hyperbolic space for gradient-based learning,

Reference 18

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This paper cites Hyperbolic image segmentation,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic image segmentation,

Reference 19

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Observation c9deebe3-1048-4636-a2c3-fb92899b0542 · outbound

This paper cites Poincar ´e embeddings for learning hierarchical representations,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Poincar ´e embeddings for learning hierarchical representations,

Reference 20

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Observation 641ca2e1-d7ff-4c31-bc01-aaf1ceb1b8f8 · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Learning continuous hierarchies in the lorentz model of hyperbolic geometry,

Reference 21

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This paper cites Representation tradeoffs for hyperbolic embeddings,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Representation tradeoffs for hyperbolic embeddings,

Reference 22

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Low distortion delaunay embedding of trees in hyperbolic plane,

Reference 23

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Observation b38d20fd-a9a3-4c17-bc9d-5b2bf2b723f4 · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic Neural Networks++

Reference 24

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Nested hyperbolic spaces for dimensionality reduction and hyperbolic nn design,

Reference 25

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Observation 6b9322a7-9b0b-4c20-a178-a9b0fe82e560 · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Autoencoding Hyperbolic Representation for Adversarial Generation

Reference 26

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Poincare resnet,

Reference 27

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Observation eb3e2bc4-fab5-4e49-8131-c1d502a6b05a · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hgcf: Hyperbolic graph convolution networks for collaborative filtering,

Reference 28

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hrcf: Enhancing collaborative filtering via hyperbolic geometric regularization,

Reference 29

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This paper cites Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation,

Reference 30

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This paper cites Modeling scale-free graphs with hyperbolic geometry for knowledge- aware recommendation,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Modeling scale-free graphs with hyperbolic geometry for knowledge- aware recommendation,

Reference 31

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Hyperbolic hypergraphs for sequential recommendation,

Reference 32

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This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 33

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Differentiating through the fr ´echet mean,

Reference 34

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Observation 74b589f8-e83d-4076-b9ad-2f64bbef37bc · outbound

This paper cites The numerical stability of hyperbolic representation learning,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks The numerical stability of hyperbolic representation learning,

Reference 35

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Observation 6b0ffc08-4040-4ff0-a8df-9a7b99f4b9d5 · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Clipped hyperbolic classifiers are super-hyperbolic classifiers,

Reference 36

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This paper cites Continuous hierarchical representations with poincar ´e variational auto-encoders,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Continuous hierarchical representations with poincar ´e variational auto-encoders,

Reference 37

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Unresolved cited work

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This paper cites do Carmo, Riemannian Geometry , ser.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks do Carmo, Riemannian Geometry , ser

Reference 39

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Observation 82536932-eaec-47e3-8c77-fce0fe6f9c5a · outbound

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Lang, Differential and Riemannian manifolds

Reference 40

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Unresolved cited work

Reference 41

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Ungar, A gyrovector space approach to hyperbolic geometry

Reference 42

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks A geometric interpretation of ungar’s addition and of gyration in the hyperbolic plane,

Reference 43

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Gy ¨orfi, M

Reference 44

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Observation 7bb37f29-af72-4e06-a599-6f6f9c281c75 · outbound

This paper cites House price prediction based on machine learning: A case of king county,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks House price prediction based on machine learning: A case of king county,

Reference 45

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Observation 137f0ddf-525c-4bd5-a435-c6ced88eed7a · outbound

This paper cites A data-driven statistical model for predicting the critical temperature of a superconductor,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks A data-driven statistical model for predicting the critical temperature of a superconductor,

Reference 46

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Observation aec84f30-5d4b-44d4-8fd3-a5e5fbeb41e0 · outbound

This paper cites Optimization of power take-off system settings and regional site selection procedure for a wave energy converter,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Optimization of power take-off system settings and regional site selection procedure for a wave energy converter,

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Observation 8b23fef5-0ae6-45ac-a1cf-36d010019a95 · outbound

This paper cites Activity recognition using cell phone accelerometers,.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Activity recognition using cell phone accelerometers,

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Pith citing papers

Observation 78fc9447-c31c-4592-a732-f6f5b678ecb6 · inbound

Cartan Networks: Group theoretical Hyperbolic Deep Learning cites this paper.

Cartan Networks: Group theoretical Hyperbolic Deep Learning On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks

Reference 27

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Transformers Are Universally Consistent cites this paper.

Transformers Are Universally Consistent On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks

Reference 33

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Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks cites this paper.

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks

Reference 21

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