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Paper Citation Record · LEDGER

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.04360.

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

pith.paper-citation-record.v1
2506.04360 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:59.680337Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

38 of 38 outbound references displayed

  • verified exact15
  • verified fuzzy4
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc3331b7-c9af-4059-a758-3c5dd8c3fe9c · outbound

This paper cites Gaussian Beltrami - Klein Model for Protein Sequence Classification : A Hyperbolic Approach.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Gaussian Beltrami - Klein Model for Protein Sequence Classification : A Hyperbolic Approach

Reference 1

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Observation 5a26485f-c31f-48dc-bf83-04eee591aa93 · outbound

This paper cites Neural Networks are Decision Trees.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Neural Networks are Decision Trees

Reference 2

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Observation e11351e9-b9c5-4a0e-b6ed-3d0dc9026c4b · outbound

This paper cites Is rotation forest the best classifier for problems with continuous features?.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Is rotation forest the best classifier for problems with continuous features?

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 3014b252-477c-4015-af60-6c923333bf37 · outbound

This paper cites Random spanning forests and hyperbolic symmetry.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Random spanning forests and hyperbolic symmetry

Reference 4

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Source-reported events for the cited work

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Observation 7f5342ab-2ec3-4aa0-b7ab-56557d13cbb4 · outbound

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

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 5

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Observation 7fb6f942-2707-4702-9c12-04a670c554e1 · outbound

This paper cites Multiple Cayley - Klein metric learning.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Multiple Cayley - Klein metric learning

Reference 6

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Source-reported events for the cited work

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Observation 766391a1-f556-4d91-933b-9c421c5e7135 · outbound

This paper cites Interpreting Neural Networks through the Polytope Lens.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Interpreting Neural Networks through the Polytope Lens

Reference 7

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Observation bd6aea03-0246-4ff3-b76c-ef123fd7efc6 · outbound

This paper cites Random Forests.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Random Forests

Reference 8

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Observation 51ab0658-d249-4a48-911f-826cfb9ae93c · outbound

This paper cites Classification and Regression Trees.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Classification and Regression Trees

Reference 9

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Observation d7f9c107-58ba-4b39-84f6-9125b6ebb4be · outbound

This paper cites Hyperbolic Graph Convolutional Neural Networks.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Hyperbolic Graph Convolutional Neural Networks

Reference 10

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Observation e7fde421-6bb4-49bd-b72d-84ddfd95ab20 · outbound

This paper cites XGBoost : A Scalable Tree Boosting System.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach XGBoost : A Scalable Tree Boosting System

Reference 11

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Observation aaf4c47b-c967-4197-9ab1-eeb07c50c383 · outbound

This paper cites Fully Hyperbolic Neural Networks.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Fully Hyperbolic Neural Networks

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 38b37822-73f0-4982-b729-0b477f826b8a · outbound

This paper cites Fast hyperboloid decision tree algorithms.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Fast hyperboloid decision tree algorithms

Reference 13

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Source-reported events for the cited work

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Observation d2ee0090-6a72-4a69-8983-786c34fa6ace · outbound

This paper cites Mixed-curvature decision trees and random forests.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Mixed-curvature decision trees and random forests

Reference 14

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Observation 8e024fb5-86ea-4b35-9167-dadf04c97b30 · outbound

This paper cites Manify: A Python Library for Learning Non-Euclidean Representations.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Manify: A Python Library for Learning Non-Euclidean Representations

Reference 15

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Observation 704c8c7d-1207-48fe-a640-4a2bec7e09be · outbound

This paper cites Large-Margin Classification in Hyperbolic Space.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Large-Margin Classification in Hyperbolic Space

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation cf4a6914-9ed0-4c2f-a4ff-ca92905a7ebc · outbound

This paper cites Hyperbolic Random Forests.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Hyperbolic Random Forests

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6faf5630-358b-4b24-a37f-848b300a2fc1 · outbound

This paper cites Oblique Decision Tree in Python , 2021.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Oblique Decision Tree in Python , 2021

Reference 18

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Observation 93c33c7f-8bd2-44dd-8270-eb6403d066fe · outbound

This paper cites Privileged Bases in the Transformer Residual Stream , 2023.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Privileged Bases in the Transformer Residual Stream , 2023

Reference 19

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Observation d0a4045d-7946-443e-9382-116210fc1330 · outbound

This paper cites Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space

Reference 20

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Observation bd46deca-3636-44a9-b0c9-48b62aae6cdc · outbound

This paper cites Hyperbolic Neural Networks.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Hyperbolic Neural Networks

Reference 21

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Observation 4f165d96-83d7-415e-92bd-4341981855d0 · outbound

This paper cites HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees

Reference 22

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Observation 8b150529-227e-4e97-9311-5105fce585c1 · outbound

This paper cites LightGBM : A Highly Efficient Gradient Boosting Decision Tree.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach LightGBM : A Highly Efficient Gradient Boosting Decision Tree

Reference 23

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Observation 807dc6a8-6be3-4e67-864c-a1bbe145e828 · outbound

This paper cites Khan, Philippe Chlenski, and Itsik Pe'er.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Khan, Philippe Chlenski, and Itsik Pe'er

Reference 24

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Observation 5f8c72ff-b6f8-4034-8f21-656dd246938f · outbound

This paper cites Isolation Forest.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Isolation Forest

Reference 25

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Observation 6a049c78-55bb-4f44-b142-4da62da60d5f · outbound

This paper cites Klein Model for Hyperbolic Neural Networks.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Klein Model for Hyperbolic Neural Networks

Reference 26

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Unavailable: canonical work link unavailable.

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Observation f64eb2c7-2732-4aba-a031-3a311103b87c · outbound

This paper cites Hyperbolic Manifold Regression.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Hyperbolic Manifold Regression

Reference 27

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Observation 27428414-f6a9-4263-bbc6-c418fec70125 · outbound

This paper cites HEAT: Hyperbolic Embedding of Attributed Networks.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach HEAT: Hyperbolic Embedding of Attributed Networks

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f4a33cd4-d51a-457a-bbb8-977bc8cdc191 · outbound

This paper cites A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning

Reference 29

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Observation e602425a-68ed-4dc5-b6d6-04e9985992ab · outbound

This paper cites Hyperbolic Voronoi diagrams made easy.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Hyperbolic Voronoi diagrams made easy

Reference 30

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Observation d4b9a8c3-dec8-4982-ad98-e18a8a235c1f · outbound

This paper cites CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits

Reference 31

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Source-reported events for the cited work

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Observation 8d8a93cf-21af-4e70-a917-9242884c08db · outbound

This paper cites Ratcliffe.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Ratcliffe

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 69d10c48-cce5-4036-8bcb-dc316441e41c · outbound

This paper cites Computational Complexity Analysis of Decision Tree Algorithms.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Computational Complexity Analysis of Decision Tree Algorithms

Reference 33

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Observation bd723fc1-e6eb-4ea6-a75c-de512b81e749 · outbound

This paper cites Random Forest regression for manifold-valued responses.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Random Forest regression for manifold-valued responses

Reference 34

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 29378dff-c21c-46aa-ada8-8cb38d30b99d · outbound

This paper cites HHCART: An Oblique Decision Tree.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach HHCART: An Oblique Decision Tree

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8c2cded0-ff59-4d6b-abde-c0c4f7ebfe74 · outbound

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Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:58:59.404918Z digest=sha256:46a4c826dbb83c9fe36749bf3e867d2aaf7b1f991b6cb44b5056f560b76c9ab4

Observation 72366cc4-9469-408e-8bd8-d2256d34e42c · outbound

This paper cites Towards kernelizing the classifier for hyperbolic data.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Towards kernelizing the classifier for hyperbolic data

Reference 37

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source=arxiv_source observed=2026-08-07T10:58:59.540312Z digest=sha256:627f208782f2a02a732ef5dd9c927387608216d7d01d42dca81459310fe117af

Observation a2119b4e-2226-488d-a2e5-4a34a3fbac60 · outbound

This paper cites write newline.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach write newline

Reference 38

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source=arxiv_source observed=2026-08-07T10:58:59.680337Z digest=sha256:63b9e32e5e52894964828d4e913583eb2497ca104e5b03e407f7fca918422cba

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