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Paper Citation Record · LEDGER

Criticality analysis of nuclear binding energy neural networks

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2508.01001.

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

pith.paper-citation-record.v1
2508.01001 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 45 of 45 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:55:36.190423Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-08-11T12:55:38.724572Z

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy12
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External citation measurements

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Outbound references

Observation ae82388f-a3fc-4f03-b1b4-0519112785d3 · outbound

This paper cites Machine Learning in Nuclear Physics.

Criticality analysis of nuclear binding energy neural networks Machine Learning in Nuclear Physics

Reference 1

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Observation f9e47cba-7457-4159-aa36-077ba06e536f · outbound

This paper cites Carleo, I.

Criticality analysis of nuclear binding energy neural networks Carleo, I

Reference 2

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Observation 0a1979e9-9a4d-4867-9681-2a03811d545c · outbound

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 3

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Observation e09f0d53-4a77-48c9-89a6-ff59c90a6989 · outbound

This paper cites Precise neural network predictions of energies and radii from the no-core shell model.

Criticality analysis of nuclear binding energy neural networks Precise neural network predictions of energies and radii from the no-core shell model

Reference 4

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Observation 570a6f04-5f73-4675-b881-bc955a3802fd · outbound

This paper cites Distilling the essential elements of nuclear binding via neural-network quantum states.

Criticality analysis of nuclear binding energy neural networks Distilling the essential elements of nuclear binding via neural-network quantum states

Reference 5

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Observation c5860357-5266-4090-9cde-61a17fb36007 · outbound

This paper cites Nuclear binding energies in artificial neural networks.

Criticality analysis of nuclear binding energy neural networks Nuclear binding energies in artificial neural networks

Reference 6

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Observation 850d0680-b6e0-493c-8303-fae2c8ad4259 · outbound

This paper cites Why is AI hard and Physics simple?.

Criticality analysis of nuclear binding energy neural networks Why is AI hard and Physics simple?

Reference 7

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Observation 3311d352-6f0a-47be-8b98-a39e6f165fb3 · outbound

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 8

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Observation 37ea71f8-aa02-4c8e-b291-50f6a6f47cc7 · outbound

This paper cites Neural Networks and Quantum Field Theory.

Criticality analysis of nuclear binding energy neural networks Neural Networks and Quantum Field Theory

Reference 9

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This paper cites Building Quantum Field Theories Out of Neurons.

Criticality analysis of nuclear binding energy neural networks Building Quantum Field Theories Out of Neurons

Reference 10

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Observation 143fa550-cc7f-4a05-8df4-9d4c93ba3344 · outbound

This paper cites A Correspondence Between Random Neural Networks and Statistical Field Theory.

Criticality analysis of nuclear binding energy neural networks A Correspondence Between Random Neural Networks and Statistical Field Theory

Reference 11

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Observation 0a6e5068-5f15-42dc-b172-45b37a8e6ea4 · outbound

This paper cites Cohen, O.

Criticality analysis of nuclear binding energy neural networks Cohen, O

Reference 12

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Observation 272e6815-8dda-4bee-9b82-f7d72930e711 · outbound

This paper cites Quantum field-theoretic machine learning.

Criticality analysis of nuclear binding energy neural networks Quantum field-theoretic machine learning

Reference 13

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Observation 5cf54a31-93b2-4d7a-9293-6cc0daf7f6fc · outbound

This paper cites Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group.

Criticality analysis of nuclear binding energy neural networks Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group

Reference 14

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Observation 75d75a25-b4a7-49c7-8580-79a29dcb2518 · outbound

This paper cites Nonperturbative renormalization for the neural network-QFT correspondence.

Criticality analysis of nuclear binding energy neural networks Nonperturbative renormalization for the neural network-QFT correspondence

Reference 15

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Observation 6c798d65-8da2-4b3f-a7cc-e71e2cecb279 · outbound

This paper cites Renormalization in the neural network-quantum field theory correspondence.

Criticality analysis of nuclear binding energy neural networks Renormalization in the neural network-quantum field theory correspondence

Reference 16

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This paper cites Bishop, Pattern recognition and machine learning, Vol.

Criticality analysis of nuclear binding energy neural networks Bishop, Pattern recognition and machine learning, Vol

Reference 17

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 18

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 19

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This paper cites Mehta, M.

Criticality analysis of nuclear binding energy neural networks Mehta, M

Reference 20

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 21

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Criticality analysis of nuclear binding energy neural networks Abdulkadirov, P

Reference 22

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Observation 80f58d11-afa8-4b7e-b467-8b8a79d71466 · outbound

This paper cites On the Variance of the Adaptive Learning Rate and Beyond.

Criticality analysis of nuclear binding energy neural networks On the Variance of the Adaptive Learning Rate and Beyond

Reference 23

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Criticality analysis of nuclear binding energy neural networks Priors for infinite networks,

Reference 24

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Observation a15e5a27-f0b9-4bee-b337-62adceea6492 · outbound

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Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 25

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Observation bbb86c18-6a3d-4986-be98-52857e37a3fd · outbound

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Criticality analysis of nuclear binding energy neural networks Deep Neural Networks as Gaussian Processes

Reference 26

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Observation 0a32036c-7167-4910-97c3-02b5976a4122 · outbound

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Criticality analysis of nuclear binding energy neural networks Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 27

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Criticality analysis of nuclear binding energy neural networks Jacot, F

Reference 28

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Observation b5bc30c0-31fa-488e-88b5-d56b00efbabb · outbound

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Criticality analysis of nuclear binding energy neural networks Finite Depth and Width Corrections to the Neural Tangent Kernel

Reference 29

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Criticality analysis of nuclear binding energy neural networks Quasi-equivalence of width and depth of neural networks,

Reference 30

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Criticality analysis of nuclear binding energy neural networks Álvarez López, A

Reference 31

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Observation fc5d1fca-f3ee-4049-895e-ce8e2ef0ff98 · outbound

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Criticality analysis of nuclear binding energy neural networks Radhakrishnan, M

Reference 32

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Observation d31b04c1-4614-453f-bdd7-51287ed0eb2d · outbound

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Criticality analysis of nuclear binding energy neural networks Width is Less Important than Depth in ReLU Neural Networks

Reference 33

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Observation f731feb1-fb51-4c7b-9677-9eff82b676c5 · outbound

This paper cites Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.

Criticality analysis of nuclear binding energy neural networks Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Reference 34

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Criticality analysis of nuclear binding energy neural networks Neural tangent kernel: Convergence and generalization in neural net- works,

Reference 35

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Observation 049f708c-e722-4054-982d-751c5745d880 · outbound

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Criticality analysis of nuclear binding energy neural networks The neural tangent kernel,

Reference 36

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Criticality analysis of nuclear binding energy neural networks Some math behind neural tangent kernel,

Reference 37

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Observation 22ecd1c2-c66d-48dc-afe0-15513559efd4 · outbound

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Criticality analysis of nuclear binding energy neural networks Fast finite width neural tangent kernel,

Reference 38

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This paper cites Glorot, A.

Criticality analysis of nuclear binding energy neural networks Glorot, A

Reference 39

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This paper cites an unresolved cited work.

Criticality analysis of nuclear binding energy neural networks Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark.

Criticality analysis of nuclear binding energy neural networks Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

Reference 41

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This paper cites Virtanen, R.

Criticality analysis of nuclear binding energy neural networks Virtanen, R

Reference 42

Resolution
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Criticality analysis of nuclear binding energy neural networks Adam: A Method for Stochastic Optimization

Reference 43

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This paper cites The Principles of Deep Learning Theory.

Criticality analysis of nuclear binding energy neural networks The Principles of Deep Learning Theory

Reference 2022

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Pith citing papers

Observation 44211cd2-17aa-4e58-829f-6fcea5a5863f · inbound

A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties cites this paper.

A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties Criticality analysis of nuclear binding energy neural networks

Reference 52

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