Paper Citation Record · LEDGER

Analytic theory of dropout regularization

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.07792.

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

pith.paper-citation-record.v1
2505.07792 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:01.484787Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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verified fuzzy21
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External citation measurements

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Outbound references

Observation 106212c4-26b1-4830-bbcf-045be2b279ab · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Analytic theory of dropout regularization Improving neural networks by preventing co-adaptation of feature detectors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.347377Z

Source-reported events for the cited work

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Observation c59f8d9b-b030-45d0-973c-c4c4e229fe04 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014.

Analytic theory of dropout regularization Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.353881Z

Source-reported events for the cited work

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Observation b01b8c10-4e19-4930-8b87-e1dfc1359290 · outbound

This paper cites A review on dropout regularization approaches for deep neural networks within the scholarly domain.Electronics, 12(14):3106, 2023.

Analytic theory of dropout regularization A review on dropout regularization approaches for deep neural networks within the scholarly domain.Electronics, 12(14):3106, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.833586Z

Source-reported events for the cited work

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Observation 1e6e8163-c7ce-45ff-9622-8ebd13beff5f · outbound

This paper cites Regularization of neural networks using dropconnect.

Analytic theory of dropout regularization Regularization of neural networks using dropconnect

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.363562Z

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Observation 42bb8c5e-6414-4ca4-8bef-66c0e32d4f23 · outbound

This paper cites Curriculum dropout.

Analytic theory of dropout regularization Curriculum dropout

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.817141Z

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Observation 64b4c0c3-3e84-4045-960a-79409551ebe9 · outbound

This paper cites Dropout reduces under- fitting.

Analytic theory of dropout regularization Dropout reduces under- fitting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.372880Z

Source-reported events for the cited work

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Observation 2aff4ad4-dbc6-4518-b35c-a0d73005859c · outbound

This paper cites Dropout training, data-dependent reg- ularization, and generalization bounds.

Analytic theory of dropout regularization Dropout training, data-dependent reg- ularization, and generalization bounds

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.800973Z

Source-reported events for the cited work

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Observation 5d66d7cf-1451-4d34-8753-ed4c143d5b09 · outbound

This paper cites Dropout: Explicit forms and capacity control.

Analytic theory of dropout regularization Dropout: Explicit forms and capacity control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.790153Z

Source-reported events for the cited work

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Observation 22866263-64cd-4f04-acc4-edca4de11b8d · outbound

This paper cites Regularization of neural networks using dropconnect.

Analytic theory of dropout regularization Regularization of neural networks using dropconnect

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.779299Z

Source-reported events for the cited work

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Observation 6a80f81b-2e7c-430b-9f2a-f55433defab4 · outbound

This paper cites Adaptive dropout with rademacher complexity regularization.

Analytic theory of dropout regularization Adaptive dropout with rademacher complexity regularization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.769175Z

Source-reported events for the cited work

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Observation d0202e86-1485-49ba-90dd-bdc0416b5a56 · outbound

This paper cites Understanding dropout.

Analytic theory of dropout regularization Understanding dropout

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.758550Z

Source-reported events for the cited work

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Observation bd33f073-7ae3-4dcd-b6b9-8db90b679d77 · outbound

This paper cites Dropout training as adaptive regularization.

Analytic theory of dropout regularization Dropout training as adaptive regularization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.747309Z

Source-reported events for the cited work

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Observation ad0d7aaf-d6be-47b9-b851-bf9da4fdb13c · outbound

This paper cites On the implicit bias of dropout.

Analytic theory of dropout regularization On the implicit bias of dropout

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.734513Z

Source-reported events for the cited work

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Observation a0f78eb0-423c-4877-9553-9c980a81372f · outbound

This paper cites Implicit regularization of dropout.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(6):4206–4217, 2024.

Analytic theory of dropout regularization Implicit regularization of dropout.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(6):4206–4217, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.404792Z

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Observation 9d0d58a3-3fac-4ec8-b356-1be987563684 · outbound

This paper cites Deep information propagation.

Analytic theory of dropout regularization Deep information propagation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.716670Z

Source-reported events for the cited work

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Observation d6939e00-b55f-4234-acfe-0309e868afda · outbound

This paper cites Learning by on-line gradient descent.Journal of Physics A: Mathematical and general, 28(3):643, 1995.

Analytic theory of dropout regularization Learning by on-line gradient descent.Journal of Physics A: Mathematical and general, 28(3):643, 1995

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.412724Z

Source-reported events for the cited work

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Observation 467dd5f4-0f9d-4d84-9d77-740d980bf204 · outbound

This paper cites Exact solution for on-line learning in multilayer neural networks.

Analytic theory of dropout regularization Exact solution for on-line learning in multilayer neural networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.416337Z

Source-reported events for the cited work

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Observation 83c1f68d-d355-4a68-8c9d-e14fcca5824d · outbound

This paper cites On-line learning in soft committee machines.Physical Review E, 52(4):4225, 1995.

Analytic theory of dropout regularization On-line learning in soft committee machines.Physical Review E, 52(4):4225, 1995

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.692201Z

Source-reported events for the cited work

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Observation 73665470-ea4a-4c4e-b13c-ecf3f3078fb9 · outbound

This paper cites Dy- namics of stochastic gradient descent for two-layer neural networks in the teacher-student setup.

Analytic theory of dropout regularization Dy- namics of stochastic gradient descent for two-layer neural networks in the teacher-student setup

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.424138Z

Source-reported events for the cited work

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Observation d2a1dc5b-d9f7-4541-90d6-22a9f69c613f · outbound

This paper cites Three unfinished works on the optimal storage capacity of networks.Journal of Physics A: Mathematical and General, 22(12):1983, 1989.

Analytic theory of dropout regularization Three unfinished works on the optimal storage capacity of networks.Journal of Physics A: Mathematical and General, 22(12):1983, 1989

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.671879Z

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Observation 8bf48e3a-4f14-4cd0-9352-03430d5907aa · outbound

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Analytic theory of dropout regularization Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:21:01.659922Z

Source-reported events for the cited work

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Observation b21714da-fa9d-409c-8ddc-20474a030de7 · outbound

This paper cites Cambridge University Press, 2001.

Analytic theory of dropout regularization Cambridge University Press, 2001

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.648161Z

Source-reported events for the cited work

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Observation db01c066-e225-430f-ac6a-df3af116e568 · outbound

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Analytic theory of dropout regularization Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:21:01.636424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cde4436-ac9d-448d-9598-2c2aec235cf0 · outbound

This paper cites Modeling the influence of data structure on learning in neural networks: The hidden manifold model.Physical Review X, 10(4):041044, 2020.

Analytic theory of dropout regularization Modeling the influence of data structure on learning in neural networks: The hidden manifold model.Physical Review X, 10(4):041044, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.625202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a38dab8-d479-467a-88e0-6d046c1450fc · outbound

This paper cites Transient dynamics of on-line learning in two-layered neural networks.Journal of Physics A: Mathematical and General, 29(16):4769, 1996.

Analytic theory of dropout regularization Transient dynamics of on-line learning in two-layered neural networks.Journal of Physics A: Mathematical and General, 29(16):4769, 1996

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.613673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48b8a65e-b589-4267-b450-c50e4c913566 · outbound

This paper cites On-line learning dynamics of ReLU neural networks using statistical physics techniques.

Analytic theory of dropout regularization On-line learning dynamics of ReLU neural networks using statistical physics techniques

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:21:01.526492Z

Source-reported events for the cited work

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Observation 1dfb085f-ad2c-4e69-96b4-c305999924e4 · outbound

This paper cites A theory of initialisation’s impact on specialisation.

Analytic theory of dropout regularization A theory of initialisation’s impact on specialisation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.601689Z

Source-reported events for the cited work

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Observation bdc22005-46b0-4384-86f3-2095052ba8d3 · outbound

This paper cites Soft mode in the dynamics of over- realizable online learning for soft committee machines.Phys.

Analytic theory of dropout regularization Soft mode in the dynamics of over- realizable online learning for soft committee machines.Phys

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.591497Z

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Observation 154bf73a-9159-401d-9a69-c167d472a78f · outbound

This paper cites Hidden unit specialization in layered neural networks: Relu vs.

Analytic theory of dropout regularization Hidden unit specialization in layered neural networks: Relu vs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.581296Z

Source-reported events for the cited work

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Observation f88ff09e-4d95-4747-bde0-8979ed2370f2 · outbound

This paper cites The committee machine: Computational to statistical gaps in learning a two-layers neural network.

Analytic theory of dropout regularization The committee machine: Computational to statistical gaps in learning a two-layers neural network

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.571002Z

Source-reported events for the cited work

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Observation 54abd2c3-b3e9-4559-81dc-03210d7daba1 · outbound

This paper cites Out-of- equilibrium dynamical mean-field equations for the perceptron model.Journal of Physics A: Mathematical and Theoretical, 51(8):085002, 2018.

Analytic theory of dropout regularization Out-of- equilibrium dynamical mean-field equations for the perceptron model.Journal of Physics A: Mathematical and Theoretical, 51(8):085002, 2018

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.561042Z

Source-reported events for the cited work

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Observation 60cb4631-b284-4d3f-a9d1-df564303c003 · outbound

This paper cites Dynamical mean-field theory for stochastic gradient descent in gaussian mixture classification.Advances in Neural Information Processing Systems, 33:9540–9550, 2020.

Analytic theory of dropout regularization Dynamical mean-field theory for stochastic gradient descent in gaussian mixture classification.Advances in Neural Information Processing Systems, 33:9540–9550, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.476902Z

Source-reported events for the cited work

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Observation af89e7d4-de5f-4a1f-a423-5c1fba4a0300 · outbound

This paper cites Optimal Protocols for Continual Learning via Statistical Physics and Control Theory.

Analytic theory of dropout regularization Optimal Protocols for Continual Learning via Statistical Physics and Control Theory

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:01.480568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 612cca34-b61c-4be2-a7ec-22f2b669419b · outbound

This paper cites in preparation.

Analytic theory of dropout regularization in preparation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:01.545648Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

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