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Paper Citation Record · LEDGER

Control of Overfitting with Physics

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.10716.

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

pith.paper-citation-record.v1
2412.10716 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 1 of 1 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: pith, observed 2026-08-04T20:44:22.006961Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 27821d72-b433-4dc2-94af-6f818453fe1c · outbound

This paper cites Computing machinery and intelligence.

Control of Overfitting with Physics Computing machinery and intelligence

Reference 1

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Observation ee6813c9-6fb0-488c-88db-8aa8f7f784d9 · outbound

This paper cites The Computer and the Brain, 1st ed.; Yale University Press: New Haven, USA, 1958.

Control of Overfitting with Physics The Computer and the Brain, 1st ed.; Yale University Press: New Haven, USA, 1958

Reference 2

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This paper cites Complexity vs.

Control of Overfitting with Physics Complexity vs

Reference 3

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Observation 05a0c64c-893e-4c60-8a7f-ff853e5f823d · outbound

This paper cites Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed.; Addison-Wesley: Boston, MA, USA, 1989.

Control of Overfitting with Physics Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed.; Addison-Wesley: Boston, MA, USA, 1989

Reference 4

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Observation 13ab131f-0b45-47ed-a996-5025cbfd6926 · outbound

This paper cites Evolutionary algorithms: A critical review and its future prospects.

Control of Overfitting with Physics Evolutionary algorithms: A critical review and its future prospects

Reference 5

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Observation 008eb9f4-9ffe-4d7e-8e67-2494e33cb5d4 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.

Control of Overfitting with Physics Neural networks and physical systems with emergent collective computational abilities

Reference 6

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Observation 287094a7-f2b5-4ff6-8132-8f1e2d30b7e7 · outbound

This paper cites A learning algorithm for Boltzmann machines.

Control of Overfitting with Physics A learning algorithm for Boltzmann machines

Reference 7

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Observation 01ef8cda-1a54-4d9a-9fab-d263dbcf85e8 · outbound

This paper cites Lotka-Volterra Model with Mutations and Generative Adversarial Networks.

Control of Overfitting with Physics Lotka-Volterra Model with Mutations and Generative Adversarial Networks

Reference 8

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Observation 4656f317-f584-49bf-99cd-f7dea559312d · outbound

This paper cites Transformers as a Physical Model in AI.

Control of Overfitting with Physics Transformers as a Physical Model in AI

Reference 9

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This paper cites A Tutorial on Energy-Based Learning; MIT Press: Cambridge, MA, USA, 2006.

Control of Overfitting with Physics A Tutorial on Energy-Based Learning; MIT Press: Cambridge, MA, USA, 2006

Reference 10

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Observation 1e3eaff9-d6eb-4aaf-a798-fcfb6c703ead · outbound

This paper cites Entropy-SGD: Biasing Gradient Descent Into Wide Valleys.

Control of Overfitting with Physics Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Reference 11

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Observation d81e72a8-f015-4e8e-a387-19428c1eda4f · outbound

This paper cites Towards physical principles of biological evolution.

Control of Overfitting with Physics Towards physical principles of biological evolution

Reference 12

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This paper cites Towards a theory of evolution as multilevel learning.

Control of Overfitting with Physics Towards a theory of evolution as multilevel learning

Reference 13

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This paper cites Physics-informed neural networks for quantum control.

Control of Overfitting with Physics Physics-informed neural networks for quantum control

Reference 15

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This paper cites Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning.

Control of Overfitting with Physics Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning

Reference 16

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Control of Overfitting with Physics Quantum Reinforcement Learning

Reference 17

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This paper cites Teaching the environment to control quantum systems.

Control of Overfitting with Physics Teaching the environment to control quantum systems

Reference 18

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Control of Overfitting with Physics Quan- tum Machine Learning

Reference 19

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Control of Overfitting with Physics M.; Buchhold, M.; Diehl, S

Reference 20

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Control of Overfitting with Physics Complex quantum networks: A topical review

Reference 21

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Control of Overfitting with Physics Quantum Brownian motion model for the stock market

Reference 22

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Control of Overfitting with Physics Delegated quantum neural networks for encrypted data

Reference 23

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Control of Overfitting with Physics The Activated Complex in Chemical Reactions

Reference 24

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Control of Overfitting with Physics Generative Adversarial Networks

Reference 25

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Control of Overfitting with Physics Control of the von Neumann Entropy for an Open Two-Qubit System Using Coherent and Incoherent Drives

Reference 26

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Control of Overfitting with Physics Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Reference 27

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Control of Overfitting with Physics Functional Space Analysis of Local GAN Convergence

Reference 28

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Control of Overfitting with Physics Gradient descent GAN optimization is locally stable

Reference 29

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Control of Overfitting with Physics Correlation functions and computer simulations

Reference 30

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Control of Overfitting with Physics Correlation functions and computer simulations II

Reference 31

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Control of Overfitting with Physics Diffusions for Global Optimization

Reference 32

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Control of Overfitting with Physics Bayesian Learning via Stochastic Gradient Langevin Dynamics

Reference 33

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Control of Overfitting with Physics The Arrhenius formula in kinetic theory and Witten's spectral asymptotics

Reference 34

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Control of Overfitting with Physics High-Resolution Image Synthesis with Latent Diffusion Models

Reference 35

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Control of Overfitting with Physics On the Design Fundamentals of Diffusion Models: A Survey

Reference 36

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Control of Overfitting with Physics Stability and Generalization

Reference 37

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Control of Overfitting with Physics Almost-everywhere algorithmic stability and generalization error

Reference 38

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This paper cites General conditions for predictivity in learning theory.

Control of Overfitting with Physics General conditions for predictivity in learning theory

Reference 39

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This paper cites Flat Minima.

Control of Overfitting with Physics Flat Minima

Reference 40

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This paper cites Geometric Characterization of the Eyring– Kramers Formula.

Control of Overfitting with Physics Geometric Characterization of the Eyring– Kramers Formula

Reference 41

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This paper cites Branching Processes, 1st ed.; Nauka: Moscow, Russia, 1971.

Control of Overfitting with Physics Branching Processes, 1st ed.; Nauka: Moscow, Russia, 1971

Reference 42

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This paper cites Branching Processes: Variation, Growth, and Extinc- tion of Populations; Cambridge University Press: Cambridge, UK, 2005.

Control of Overfitting with Physics Branching Processes: Variation, Growth, and Extinc- tion of Populations; Cambridge University Press: Cambridge, UK, 2005

Reference 43

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This paper cites A Course in the Theory of Stochastic Processes; McGraw-Hill International: New York, NY, USA, 1981.

Control of Overfitting with Physics A Course in the Theory of Stochastic Processes; McGraw-Hill International: New York, NY, USA, 1981

Reference 44

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Control of Overfitting with Physics Unresolved cited work

Reference 384

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Pith citing papers

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Predator-Prey Model: Driven Hunt for Accelerated Grokking cites this paper.

Predator-Prey Model: Driven Hunt for Accelerated Grokking Control of Overfitting with Physics

Reference 14

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