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Paper Citation Record · LEDGER

Machine learning in phase transition analysis of lattice quantum gravity

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2510.02159.

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

pith.paper-citation-record.v1
2510.02159 v2

Coverage vector

measured 35 of 35 reference resolution

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation d7d29dd5-fcd5-47db-91cf-c83df0bcd005 · outbound

This paper cites an unresolved cited work.

Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 1

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Observation 81e31f6c-56b8-42c5-ba8d-6e030ae17a97 · outbound

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 2

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 3

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 4

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 5

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 6

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 7

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 8

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Machine learning in phase transition analysis of lattice quantum gravity Unresolved cited work

Reference 9

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Observation 523ae569-93ec-49a5-9a4f-d88018a8639d · outbound

This paper cites manual” hyperparameter optimization; light green – the model correctly identifies phase transitions but requires “manual.

Machine learning in phase transition analysis of lattice quantum gravity manual” hyperparameter optimization; light green – the model correctly identifies phase transitions but requires “manual

Reference 10

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This paper cites Ultraviolet Divergences in Quantum The- ories of Gravitation,.

Machine learning in phase transition analysis of lattice quantum gravity Ultraviolet Divergences in Quantum The- ories of Gravitation,

Reference 11

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This paper cites Codello, R.

Machine learning in phase transition analysis of lattice quantum gravity Codello, R

Reference 12

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This paper cites Reuter and F.

Machine learning in phase transition analysis of lattice quantum gravity Reuter and F

Reference 13

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Observation 60c10ccc-749f-4ac7-8942-609fe853eeb1 · outbound

This paper cites Reuter and F.

Machine learning in phase transition analysis of lattice quantum gravity Reuter and F

Reference 14

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This paper cites Renormalization Group Flow in CDT.

Machine learning in phase transition analysis of lattice quantum gravity Renormalization Group Flow in CDT

Reference 15

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Machine learning in phase transition analysis of lattice quantum gravity Ambjorn, J

Reference 16

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This paper cites Ambjørn, J.

Machine learning in phase transition analysis of lattice quantum gravity Ambjørn, J

Reference 17

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Observation 4aca5cb8-bf55-4c15-8bf3-d7d169ecf309 · outbound

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Machine learning in phase transition analysis of lattice quantum gravity Reconstructing the Universe

Reference 18

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This paper cites CDT meets Horava-Lifshitz gravity.

Machine learning in phase transition analysis of lattice quantum gravity CDT meets Horava-Lifshitz gravity

Reference 19

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This paper cites Signature Change of the Metric in CDT Quantum Gravity?.

Machine learning in phase transition analysis of lattice quantum gravity Signature Change of the Metric in CDT Quantum Gravity?

Reference 20

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Observation e10e60fc-18b3-4f09-a997-ca603a5b863f · outbound

This paper cites Dynamically Triangulating Lorentzian Quantum Gravity.

Machine learning in phase transition analysis of lattice quantum gravity Dynamically Triangulating Lorentzian Quantum Gravity

Reference 21

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Machine learning in phase transition analysis of lattice quantum gravity Nonperturbative Quantum Gravity

Reference 22

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This paper cites Quantum Gravity from Causal Dynamical Triangulations: A Review.

Machine learning in phase transition analysis of lattice quantum gravity Quantum Gravity from Causal Dynamical Triangulations: A Review

Reference 23

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Machine learning in phase transition analysis of lattice quantum gravity CDT Quantum Toroidal Spacetimes: An Overview

Reference 24

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This paper cites Regge, Nuovo Cim.19, 558 (1961).

Machine learning in phase transition analysis of lattice quantum gravity Regge, Nuovo Cim.19, 558 (1961)

Reference 25

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Machine learning in phase transition analysis of lattice quantum gravity Ambjørn, S

Reference 26

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This paper cites The phase structure of Causal Dynamical Triangulations with toroidal spatial topology.

Machine learning in phase transition analysis of lattice quantum gravity The phase structure of Causal Dynamical Triangulations with toroidal spatial topology

Reference 27

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Machine learning in phase transition analysis of lattice quantum gravity Ambjørn, D

Reference 28

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Machine learning in phase transition analysis of lattice quantum gravity Ambjørn, J

Reference 29

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Machine learning in phase transition analysis of lattice quantum gravity Ambjørn, S

Reference 30

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Machine learning in phase transition analysis of lattice quantum gravity Exploring the new phase transition of CDT

Reference 31

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Machine learning in phase transition analysis of lattice quantum gravity The higher-order phase transition in toroidal CDT

Reference 32

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Machine learning in phase transition analysis of lattice quantum gravity Classify,

Reference 33

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Machine learning in phase transition analysis of lattice quantum gravity ClusterClassify,

Reference 34

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Machine learning in phase transition analysis of lattice quantum gravity Machine Learning Methods,

Reference 35

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