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Paper Citation Record · LEDGER

Fast and Slow Variational Continual Learning

As of 19 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2606.24007.

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

pith.paper-citation-record.v1
2606.24007 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:26:12.148643Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 300 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 7c8c595c-53f2-497f-807f-1e7287953882 · outbound

This paper cites Constrained optimization and.

Fast and Slow Variational Continual Learning Constrained optimization and

Reference 1

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Observation 1669ce60-5eac-44ec-8218-7b8edea9084d · outbound

This paper cites and Bodard, Alexander and Laude, Emanuel and Patrinos, Panagiotis , year =.

Fast and Slow Variational Continual Learning and Bodard, Alexander and Laude, Emanuel and Patrinos, Panagiotis , year =

Reference 2

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Observation c486eb32-5ab2-4530-a770-822dc352963d · outbound

This paper cites icml, , year =.

Fast and Slow Variational Continual Learning icml, , year =

Reference 3

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Observation 41fcc2f7-5fa5-42b4-bac4-4f718e38d1b0 · outbound

This paper cites Federated Learning Via Inexact.

Fast and Slow Variational Continual Learning Federated Learning Via Inexact

Reference 4

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Observation 7dd1e814-3691-48c3-8d66-fa1931f52d0d · outbound

This paper cites 2021 , volume =.

Fast and Slow Variational Continual Learning 2021 , volume =

Reference 5

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This paper cites , booktitle =.

Fast and Slow Variational Continual Learning , booktitle =

Reference 6

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 7

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This paper cites aistats, , year =.

Fast and Slow Variational Continual Learning aistats, , year =

Reference 8

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Observation e0f10bf1-1184-4cb6-b20b-fc3dafafd4b0 · outbound

This paper cites Federated Optimization in Heterogeneous Networks , year =.

Fast and Slow Variational Continual Learning Federated Optimization in Heterogeneous Networks , year =

Reference 9

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This paper cites iclr, , year =.

Fast and Slow Variational Continual Learning iclr, , year =

Reference 10

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 11

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Observation 79abdcb5-868d-4b2a-95f0-039186b63801 · outbound

This paper cites The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization , booktitle =.

Fast and Slow Variational Continual Learning The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization , booktitle =

Reference 12

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Fast and Slow Variational Continual Learning International Conference on Information Fusion , year =

Reference 13

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 14

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 15

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 16

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Fast and Slow Variational Continual Learning Unresolved cited work

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 18

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Fast and Slow Variational Continual Learning Unresolved cited work

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Fast and Slow Variational Continual Learning Unresolved cited work

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Fast and Slow Variational Continual Learning Nonlinear proximal point algorithms using

Reference 21

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Fast and Slow Variational Continual Learning Unresolved cited work

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Fast and Slow Variational Continual Learning Applications of a splitting algorithm to decomposition in convex programming and variational inequalities , volume =

Reference 23

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Fast and Slow Variational Continual Learning A dual algorithm for the solution of nonlinear variational problems via finite element approximation , volume =

Reference 24

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Fast and Slow Variational Continual Learning Sur l'approximation, par

Reference 25

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Fast and Slow Variational Continual Learning Gradient flows for sampling: mean-field models,

Reference 27

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Fast and Slow Variational Continual Learning Unresolved cited work

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Fast and Slow Variational Continual Learning S-prompts learning with pre-trained transformers: An

Reference 33

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Fast and Slow Variational Continual Learning Conference on Robot Learning (CoRL) , year=

Reference 34

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Fast and Slow Variational Continual Learning Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , year=

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Fast and Slow Variational Continual Learning Introduction to stochastic search and optimization: estimation, simulation, and control , year =

Reference 38

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Fast and Slow Variational Continual Learning On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation , year =

Reference 42

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Fast and Slow Variational Continual Learning Control systems and reinforcement learning , year =

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Fast and Slow Variational Continual Learning Statistical learning theory and stochastic optimization , year =

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Fast and Slow Variational Continual Learning Generalization Guarantees via Algorithm-dependent

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Reference 47

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Reference 48

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Reference 49

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Fast and Slow Variational Continual Learning Spectral pruning: Compressing deep neural networks via spectral analysis and its generalization error , year =

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Reference 51

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Reference 52

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Fast and Slow Variational Continual Learning Harmonic exponential families on homogeneous spaces , volume =

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Fast and Slow Variational Continual Learning Duality for Neural Networks through Reproducing Kernel

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Fast and Slow Variational Continual Learning Approximation accuracy, gradient methods, and error bound for structured convex optimization , volume =

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Reference 56

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Fast and Slow Variational Continual Learning SAE: Sequential Anchored Ensembles , year =

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Reference 58

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Reference 59

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Fast and Slow Variational Continual Learning A stochastic approximation method , year =

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Reference 61

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Fast and Slow Variational Continual Learning Variational inference via Wasserstein gradient flows

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Fast and Slow Variational Continual Learning Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms , year =

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Fast and Slow Variational Continual Learning Linear convergence of gradient and proximal-gradient methods under the

Reference 64

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Fast and Slow Variational Continual Learning Lifting the convex conjugate in

Reference 65

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Fast and Slow Variational Continual Learning Bayesian neural network priors revisited , year =

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Reference 67

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Fast and Slow Variational Continual Learning On the expressiveness of approximate inference in

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Fast and Slow Variational Continual Learning Priors in

Reference 69

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Reference 70

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Fast and Slow Variational Continual Learning Adversarial Interpretation of

Reference 71

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Fast and Slow Variational Continual Learning Stochastic dual coordinate ascent methods for regularized loss minimization

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Fast and Slow Variational Continual Learning Deep learning in neural networks: An overview , volume =

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Fast and Slow Variational Continual Learning Deep learning , volume =

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Fast and Slow Variational Continual Learning Evaluating Approximate Inference in

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Reference 76

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Fast and Slow Variational Continual Learning Stochastic gradient descent as approximate

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Observation c83ea6eb-598f-4770-a5a6-8413804865cc · outbound

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Reference 78

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Observation 5fc1823b-3eb0-4d56-aad3-f960eca83e63 · outbound

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Fast and Slow Variational Continual Learning Questions for Flat-Minima Optimization of Modern Neural Networks , year =

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Observation 6240615e-7ef2-48bc-aa6b-dbf7622b2e73 · outbound

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Reference 80

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Fast and Slow Variational Continual Learning Variational bounds for mixed-data factor analysis , year =

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Observation 4d525f65-ac3d-41ac-a7d9-77d2cf82a688 · outbound

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Reference 82

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Observation cb28b812-e3f9-4f3c-b565-bb550fd6ddc8 · outbound

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Reference 83

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Fast and Slow Variational Continual Learning Efficient bounds for the softmax function, applications to inference in hybrid models , year =

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Reference 85

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This paper cites Explicit Regularization in Overparametrized Models via Noise Injection , year =.

Fast and Slow Variational Continual Learning Explicit Regularization in Overparametrized Models via Noise Injection , year =

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 87

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This paper cites Scalable marginal likelihood estimation for model selection in deep learning , year =.

Fast and Slow Variational Continual Learning Scalable marginal likelihood estimation for model selection in deep learning , year =

Reference 88

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This paper cites Anticorrelated Noise Injection for Improved Generalization , year =.

Fast and Slow Variational Continual Learning Anticorrelated Noise Injection for Improved Generalization , year =

Reference 89

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Observation b8efc19e-542a-4de8-84cf-0e0e3472380d · outbound

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Fast and Slow Variational Continual Learning Unresolved cited work

Reference 90

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Observation d01f3368-e835-4c54-bfa0-30392318caa9 · outbound

This paper cites Ockham's razor and.

Fast and Slow Variational Continual Learning Ockham's razor and

Reference 91

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This paper cites The minimum description length principle , year =.

Fast and Slow Variational Continual Learning The minimum description length principle , year =

Reference 92

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This paper cites A universal prior for integers and estimation by minimum description length , volume =.

Fast and Slow Variational Continual Learning A universal prior for integers and estimation by minimum description length , volume =

Reference 93

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This paper cites Smith and Quoc V.

Fast and Slow Variational Continual Learning Smith and Quoc V

Reference 94

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Observation 6afbcaae-3e0b-4c3a-ac78-dd61b16fca32 · outbound

This paper cites Sharpness-Aware Minimization Improves Language Model Generalization , year =.

Fast and Slow Variational Continual Learning Sharpness-Aware Minimization Improves Language Model Generalization , year =

Reference 95

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Observation 87ab9da4-1af5-40e4-bf8f-ea6e3857f284 · outbound

This paper cites Learning with submodular functions: A convex optimization perspective , volume =.

Fast and Slow Variational Continual Learning Learning with submodular functions: A convex optimization perspective , volume =

Reference 96

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Observation af5b1732-be4b-4858-8884-2da5752f9a45 · outbound

This paper cites Online model selection based on the variational.

Fast and Slow Variational Continual Learning Online model selection based on the variational

Reference 97

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Observation 43250d26-1505-4c0c-ae35-bd5447fd6bfe · outbound

This paper cites Conjugate dualities for relative smoothness and strong convexity under the light of generalized convexity , year =.

Fast and Slow Variational Continual Learning Conjugate dualities for relative smoothness and strong convexity under the light of generalized convexity , year =

Reference 98

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Observation 800f0b9b-a4ae-49c7-a64b-bcb42acc60c3 · outbound

This paper cites Natural gradient works efficiently in learning , volume =.

Fast and Slow Variational Continual Learning Natural gradient works efficiently in learning , volume =

Reference 99

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Observation c1d8dbbb-ce3d-41ac-8de9-5440a7ae5bc6 · outbound

This paper cites User-friendly introduction to.

Fast and Slow Variational Continual Learning User-friendly introduction to

Reference 100

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