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Paper Citation Record · LEDGER

Bulk-boundary decomposition of neural networks

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2511.02003.

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pith.paper-citation-record.v1
2511.02003 v2

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measured 54 of 54 reference resolution

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measured 0 of 0 inbound itemization

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54 of 54 outbound references displayed

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Outbound references

Observation 9ae288b2-3020-4982-94be-bc50b25ddcb3 · outbound

This paper cites an unresolved cited work.

Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 1

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Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 2

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This paper cites Bahri, J.

Bulk-boundary decomposition of neural networks Bahri, J

Reference 3

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Observation d34f3d95-865d-4b15-aa00-c3c8d3303539 · outbound

This paper cites Deep Information Propagation.

Bulk-boundary decomposition of neural networks Deep Information Propagation

Reference 4

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Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 5

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This paper cites Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis.

Bulk-boundary decomposition of neural networks Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis

Reference 6

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Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 7

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This paper cites Nonlocality and Nonlinearity Implies Universality in Operator Learning.

Bulk-boundary decomposition of neural networks Nonlocality and Nonlinearity Implies Universality in Operator Learning

Reference 8

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This paper cites Carnevali and S.

Bulk-boundary decomposition of neural networks Carnevali and S

Reference 9

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This paper cites Tishby, E.

Bulk-boundary decomposition of neural networks Tishby, E

Reference 10

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This paper cites Sompolinsky, N.

Bulk-boundary decomposition of neural networks Sompolinsky, N

Reference 11

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Bulk-boundary decomposition of neural networks Levin, N

Reference 12

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Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 13

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This paper cites Engel and C.

Bulk-boundary decomposition of neural networks Engel and C

Reference 14

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This paper cites M´ ezard and A.

Bulk-boundary decomposition of neural networks M´ ezard and A

Reference 15

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This paper cites Gy¨ orgyi, First-order transition to perfect generaliza- tion in a neural network with binary synapses, Phys.

Bulk-boundary decomposition of neural networks Gy¨ orgyi, First-order transition to perfect generaliza- tion in a neural network with binary synapses, Phys

Reference 16

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Bulk-boundary decomposition of neural networks Koebarle and W

Reference 17

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Bulk-boundary decomposition of neural networks Advani, S

Reference 18

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Bulk-boundary decomposition of neural networks An exact mapping between the Variational Renormalization Group and Deep Learning

Reference 19

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Bulk-boundary decomposition of neural networks Zdeborov´ a and F

Reference 20

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Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 21

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Bulk-boundary decomposition of neural networks Deep Neural Networks as Gaussian Processes

Reference 22

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Bulk-boundary decomposition of neural networks A Correspondence Between Random Neural Networks and Statistical Field Theory

Reference 23

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Bulk-boundary decomposition of neural networks Transport Analysis of Infinitely Deep Neural Network

Reference 24

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Bulk-boundary decomposition of neural networks Asymptotics of Wide Networks from Feynman Diagrams

Reference 25

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Bulk-boundary decomposition of neural networks Non-Gaussian processes and neural networks at finite widths

Reference 26

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Bulk-boundary decomposition of neural networks Quantum fields as deep learning

Reference 27

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Bulk-boundary decomposition of neural networks Helias and D

Reference 28

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Bulk-boundary decomposition of neural networks Nonperturbative renormalization for the neural network-QFT correspondence

Reference 29

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Bulk-boundary decomposition of neural networks Renormalization in the neural network-quantum field theory correspondence

Reference 30

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Bulk-boundary decomposition of neural networks Building Quantum Field Theories Out of Neurons

Reference 31

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Bulk-boundary decomposition of neural networks Neural Networks and Quantum Field Theory

Reference 32

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This paper cites The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning.

Bulk-boundary decomposition of neural networks The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning

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Bulk-boundary decomposition of neural networks Segadlo, B

Reference 34

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Observation cd4638ed-fdd8-4afa-8e15-bff7618428aa · outbound

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Bulk-boundary decomposition of neural networks A duality connecting neural network and cosmological dynamics

Reference 35

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Bulk-boundary decomposition of neural networks Cohen, O

Reference 36

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This paper cites Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators.

Bulk-boundary decomposition of neural networks Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators

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Bulk-boundary decomposition of neural networks Halverson, J

Reference 38

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Observation ae0a6101-0c72-4e64-8491-5ab12406bbec · outbound

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Bulk-boundary decomposition of neural networks Demirtas, J

Reference 39

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Bulk-boundary decomposition of neural networks Vanchurin, Emergent field theories from neural net- 6 works, arXiv:2411.08138 [hep-th]

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Bulk-boundary decomposition of neural networks Bayesian RG Flow in Neural Network Field Theories

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Observation 4d17d07f-b42c-4c3b-9670-699ea166767a · outbound

This paper cites Applications of Statistical Field Theory in Deep Learning.

Bulk-boundary decomposition of neural networks Applications of Statistical Field Theory in Deep Learning

Reference 42

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Observation 6b4d7e67-2371-46e2-a7b6-c959922badfe · outbound

This paper cites Lee, H.-S.

Bulk-boundary decomposition of neural networks Lee, H.-S

Reference 43

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Observation ed337937-7594-4dbb-bf55-591e2b69b8d5 · outbound

This paper cites Holography as deep learning.

Bulk-boundary decomposition of neural networks Holography as deep learning

Reference 44

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Observation 7d07346a-043a-4e95-94da-376ea11b6882 · outbound

This paper cites Deep Learning and AdS/CFT.

Bulk-boundary decomposition of neural networks Deep Learning and AdS/CFT

Reference 45

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Observation 5d975f4b-80fe-42dd-931d-ccb6a1b6bb73 · outbound

This paper cites Deep Learning and Holographic QCD.

Bulk-boundary decomposition of neural networks Deep Learning and Holographic QCD

Reference 46

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Observation 8c93d219-46e5-427e-8fef-f5b52acea47a · outbound

This paper cites AdS/CFT as a deep Boltzmann machine.

Bulk-boundary decomposition of neural networks AdS/CFT as a deep Boltzmann machine

Reference 47

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Observation 95d28474-8ad5-4426-bfa1-6b679324440f · outbound

This paper cites Parisi,Statistical Field Theory, Frontiers in Physics (Addison-Wesley, Redwood City, CA, 1988).

Bulk-boundary decomposition of neural networks Parisi,Statistical Field Theory, Frontiers in Physics (Addison-Wesley, Redwood City, CA, 1988)

Reference 48

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This paper cites an unresolved cited work.

Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 49

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Observation b152793a-086f-4cb8-8074-a50c666f6052 · outbound

This paper cites an unresolved cited work.

Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 50

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Observation ad7ba85e-afe2-4a90-93fb-a0426d1181f3 · outbound

This paper cites A survey and taxonomy of loss functions in machine learning.

Bulk-boundary decomposition of neural networks A survey and taxonomy of loss functions in machine learning

Reference 51

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Observation c848a463-bb1d-4a9d-87b0-62a863966fb4 · outbound

This paper cites an unresolved cited work.

Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 52

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Observation aa8ab716-4689-4d28-b4b6-1c6a16607a9b · outbound

This paper cites an unresolved cited work.

Bulk-boundary decomposition of neural networks Unresolved cited work

Reference 53

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Observation cfe18626-8c9f-4fef-83cb-152b573a5231 · outbound

This paper cites Aizenman and R.

Bulk-boundary decomposition of neural networks Aizenman and R

Reference 54

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Pith citing papers

No inbound Pith citation observations are available.