Paper Citation Record · LEDGER

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 8 inbound Pith citation observations for arXiv:2505.16959.

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

pith.paper-citation-record.v1
2505.16959 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:52.599683Z

measured 90 of 90 standing notices

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measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:17:29.851866Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-10T01:26:43.193228Z

Reference resolution

82 of 82 outbound references displayed

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External citation measurements

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Outbound references

Observation e19b08ad-cab9-46f6-80b1-a255dc5c296d · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 1

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Observation 73c416c0-ae2c-4dad-8098-10bc5164408d · outbound

This paper cites Denoising diffusion probabilistic models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Denoising diffusion probabilistic models

Reference 2

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Observation 3c53bce8-001b-4e59-b441-d3820b0a998b · outbound

This paper cites Diffusion models beat gans on image synthesis.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion models beat gans on image synthesis

Reference 3

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Observation e363bf8b-c22e-492a-b513-40c732fdd0f4 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models High- resolution image synthesis with latent diffusion models

Reference 4

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Observation b0d05fe7-e22a-4ad2-822c-613b23f4f685 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 5

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Observation 8132bc21-a54d-48fa-be57-9f2870e3fd40 · outbound

This paper cites Video diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Video diffusion models

Reference 6

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Observation 08de7fa9-7549-45b9-ab5b-35260468a037 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

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Observation b7e75112-314d-47bb-bbe5-b2edbe20757f · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Structured denoising diffusion models in discrete state-spaces

Reference 8

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Observation bf2025af-1ef3-46cb-b491-caf6e9cafd3b · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Simple and Effective Masked Diffusion Language Models

Reference 9

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Observation 4695e87e-ae12-4b68-8b9a-6fcfc39cbc80 · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Simplified and Generalized Masked Diffusion for Discrete Data

Reference 10

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Observation 6329a6c6-cd30-4b39-8ff1-203f4dcd4b04 · outbound

This paper cites Large Language Diffusion Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Large Language Diffusion Models

Reference 11

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Observation 006f302f-8629-401d-8507-435677932915 · outbound

This paper cites De novo design of protein structure and function with rfdiffusion.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models De novo design of protein structure and function with rfdiffusion

Reference 12

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Observation edfc067c-fe10-4b70-9b2a-2933ff09db0b · outbound

This paper cites Diffusion models in de novo drug design.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion models in de novo drug design

Reference 13

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Observation a0f9db33-4fc5-41ca-8cfd-82062bdcc264 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Generative modeling by estimating gradients of the data distribution

Reference 14

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Observation e53f4c0c-b2f6-488f-818a-cb45794f6a5e · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 15

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Observation 5648dc04-2c0d-4fee-a12d-b6f9badf3bf0 · outbound

This paper cites Extracting training data from diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Extracting training data from diffusion models

Reference 16

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Observation 4690613e-2235-41b5-9473-ce2009a02bd3 · outbound

This paper cites Diffusion art or digital forgery.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion art or digital forgery

Reference 17

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Observation 46bb7601-7410-4dc4-87f5-cabcd3a1c864 · outbound

This paper cites Membership Inference Attacks Against Text-to-image Generation Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Membership Inference Attacks Against Text-to-image Generation Models

Reference 18

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Observation aaf227b2-0197-41e3-8161-001c7b6eb8e8 · outbound

This paper cites Membership inference attacks against diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Membership inference attacks against diffusion models

Reference 19

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Observation d7d1b60c-0b6e-449e-a5d1-edc298ca6f6e · outbound

This paper cites Membership Inference of Diffusion Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Membership Inference of Diffusion Models

Reference 20

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Observation 7bc9009f-39f8-4917-aaca-1bc02c561b85 · outbound

This paper cites Diffusion probabilistic models generalize when they fail to memorize.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion probabilistic models generalize when they fail to memorize

Reference 21

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Observation 3acc86ae-797d-42bc-8400-81723506cf7b · outbound

This paper cites The Emergence of Reproducibility and Generalizability in Diffusion Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models The Emergence of Reproducibility and Generalizability in Diffusion Models

Reference 22

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Observation 01be6ff5-9c26-4339-a9c1-43326312a9e2 · outbound

This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Generalization in diffusion models arises from geometry-adaptive harmonic representations

Reference 23

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Observation 8848cd7a-20a6-4ee6-be27-35ad88305469 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Improved denoising diffusion probabilistic models

Reference 24

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Observation f0eeea79-e923-4d9e-b99d-4a679af386b4 · outbound

This paper cites How Compositional Generalization and Creativity Improve as Diffusion Models are Trained.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models How Compositional Generalization and Creativity Improve as Diffusion Models are Trained

Reference 25

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This paper cites Differentially Private Diffusion Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Differentially Private Diffusion Models

Reference 26

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This paper cites On provable copyright protection for generative models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models On provable copyright protection for generative models

Reference 27

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Observation 06b5a7ad-6a5e-45ed-816d-8e57a5fc1f20 · outbound

This paper cites Towards memorization-free diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Towards memorization-free diffusion models

Reference 28

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Observation c74d3def-32c3-43d7-999d-7e8821a418c8 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 29

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models U-net: Convolutional networks for biomedical image segmentation

Reference 30

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This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 31

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This paper cites Attention is All you Need.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Attention is All you Need

Reference 32

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

Reference 33

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Laion- 5b: An open large-scale dataset for training next generation image-text models

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Large-scale celebfaces attributes (celeba) dataset

Reference 35

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This paper cites Why diffusion models don’t memorize: The role of implicit dynamical regularization in training.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Why diffusion models don’t memorize: The role of implicit dynamical regularization in training

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Neural tangent kernel: Convergence and generalization in neural networks

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models On lazy training in differentiable program- ming

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This paper cites Three models for the description of language.IRE Transactions on information theory, 2(3):113–124, 1956.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Three models for the description of language.IRE Transactions on information theory, 2(3):113–124, 1956

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Handbook of Formal Languages

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Pullum and Gerald Gazdar

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Unresolved cited work

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Manning and Hinrich Schütze

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Elements of pattern theory

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Context and hierarchy in a probabilistic image model

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Spatial random tree grammars for modeling hierarchal structure in images with regions of arbitrary shape

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Tomasini, Alessandro Favero, and Matthieu Wyart

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Towards a theory of how the structure of language is acquired by deep neural networks

Reference 48

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Information, physics, and computation

Reference 49

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This paper cites A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Probing the Latent Hierarchical Structure of Data via Diffusion Models

Reference 51

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Feature Learning in Infinite-Width Neural Networks

Reference 52

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Learning curves theory for hierarchically compositional data with power-law distributed features

Reference 53

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Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Understanding and mitigating copying in diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:54.682889Z

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Observation 1289c680-3e18-4f91-ad31-5041829fbef4 · outbound

This paper cites Replica- tion in visual diffusion models: A survey and outlook.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Replica- tion in visual diffusion models: A survey and outlook

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:54.556753Z

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Observation 21039e3c-5b74-4936-b5d3-2e410b08e9ff · outbound

This paper cites On memorization in diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models On memorization in diffusion models

Reference 56

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This paper cites Understanding generalizability of diffusion models requires rethinking the hidden gaussian structure.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Understanding generalizability of diffusion models requires rethinking the hidden gaussian structure

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This paper cites The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

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Observation f173b5cd-ff8f-428a-8f69-6b5867a56b47 · outbound

This paper cites Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:50.211949Z

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Observation d23abe1b-faf4-423c-8e6e-0f1d0afb70cc · outbound

This paper cites Diffusion Models are Minimax Optimal Distribution Estimators.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion Models are Minimax Optimal Distribution Estimators

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This paper cites Dynamical regimes of diffusion models, 2024.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Dynamical regimes of diffusion models, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:54.409917Z

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This paper cites The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability

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This paper cites Losing dimensions: Geometric memorization in generative diffusion.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Losing dimensions: Geometric memorization in generative diffusion

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:50.650669Z

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This paper cites Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis

Reference 64

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This paper cites Critical windows: non-asymptotic theory for feature emergence in diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Critical windows: non-asymptotic theory for feature emergence in diffusion models

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Observation 7f8f1251-a559-488b-a729-d186e4e963f6 · outbound

This paper cites Analysis of learning a flow-based generative model from limited sample complexity.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Analysis of learning a flow-based generative model from limited sample complexity

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This paper cites Learning mixtures of gaussians using the ddpm objective.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Learning mixtures of gaussians using the ddpm objective

Reference 67

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This paper cites Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

Reference 68

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Observation b85b1526-c6a2-45bf-bcd5-1b7d5981bb15 · outbound

This paper cites Denoising score matching with random features: Insights on diffusion models from precise learning curves.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Denoising score matching with random features: Insights on diffusion models from precise learning curves

Reference 69

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This paper cites On the generalization properties of diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models On the generalization properties of diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:54.117440Z

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Observation b126b20e-46e3-4b23-b6c6-47e00d7ee57e · outbound

This paper cites Generative diffusion in very large dimensions.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Generative diffusion in very large dimensions

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Resolution: verified exact; local_arxiv, observed 2026-08-07T14:57:52.883121Z

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Observation 346fd06d-57f1-48df-a048-332ef855b60e · outbound

This paper cites An analytic theory of creativity in convolutional diffusion models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models An analytic theory of creativity in convolutional diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:51.559529Z

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Observation 8a026a36-be02-4411-82b4-92845da3c93c · outbound

This paper cites U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:51.655432Z

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This paper cites How transformers learn structured data: insights from hierarchical filtering.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models How transformers learn structured data: insights from hierarchical filtering

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:51.762842Z

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Observation d794ebd3-985b-4028-82b0-a660e171bb76 · outbound

This paper cites Advani, Andrew M.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Advani, Andrew M

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:53.994843Z

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This paper cites Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003, 2021.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003, 2021

Reference 76

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This paper cites Dynamical decoupling of generalization and overfitting in large two-layer networks.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Dynamical decoupling of generalization and overfitting in large two-layer networks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:52.108551Z

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Observation 1dd990fa-72e5-4615-89ce-040701788449 · outbound

This paper cites Spigler, M.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Spigler, M

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:53.856724Z

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Observation 39b297f5-e6b9-469b-8ce1-709f0ee69b71 · outbound

This paper cites Reconciling modern machine- learning practice and the classical bias–variance trade-off.Proceedings of the National Academy of Sciences, 116(32):15849–15854, 2019.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Reconciling modern machine- learning practice and the classical bias–variance trade-off.Proceedings of the National Academy of Sciences, 116(32):15849–15854, 2019

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:52.264858Z

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Observation 045b196b-a615-48a3-9dc1-32143aedc7bd · outbound

This paper cites Benign overfitting in linear regression.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Benign overfitting in linear regression

Reference 80

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This paper cites A self- supervised descriptor for image copy detection.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models A self- supervised descriptor for image copy detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:53.745996Z

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Observation 874080c9-b57e-4c97-b49a-c005f854bc1d · outbound

This paper cites A mean field view of the landscape of two-layer neural networks.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models A mean field view of the landscape of two-layer neural networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:53.602933Z

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Pith citing papers

Observation 4bcdc13a-5bd6-4ba2-b438-d4ad2c18c0b9 · inbound

Understanding diffusion models requires rethinking (again) generalization cites this paper.

Understanding diffusion models requires rethinking (again) generalization Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 24

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Observation b9dd1d41-c572-49de-9ec0-2e090cd89f3d · inbound

The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models cites this paper.

The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 15

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diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories cites this paper.

diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 11

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Observation e5cb16a9-b59d-4857-bd55-2e28e3f1d0ea · inbound

Memorisation, convergence and generalisation in generative models cites this paper.

Memorisation, convergence and generalisation in generative models Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:19:28.918657Z

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Observation e55b23f0-5622-4894-b1c0-ec54182a1a63 · inbound

Learn from your own latents and not from tokens: A sample-complexity theory cites this paper.

Learn from your own latents and not from tokens: A sample-complexity theory Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:23:50.532747Z

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Observation bea07fdb-122e-47e4-89e4-991e86bb0e80 · inbound

Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles cites this paper.

Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:57:28.816683Z

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Observation 5a8560e2-a5a5-4e30-ab93-668bd1868b47 · inbound

An exact information theory of generalization phase transitions in Bayesian diffusion models cites this paper.

An exact information theory of generalization phase transitions in Bayesian diffusion models Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Reference 23

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Observation 65adc0e2-ffa0-43b1-a350-b52440e666f1 · inbound

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Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

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