Paper Citation Record · LEDGER

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.12874.

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

pith.paper-citation-record.v1
2608.12874 v1

Coverage vector

measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T21:38:06.845513Z

measured 46 of 46 standing notices

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 21f65a02-9022-4fd1-8f4f-330078a25377 · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning icarl: Incremental classifier and representation learning,

Reference 1

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This paper cites Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective

Reference 2

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This paper cites Coreset selection via reducible loss in continual learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Coreset selection via reducible loss in continual learning,

Reference 3

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Observation c236cbe3-2c5c-4283-9980-beff168b25a5 · outbound

This paper cites Summarizing stream data for memory-constrained online continual learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Summarizing stream data for memory-constrained online continual learning,

Reference 4

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Observation af30d7fa-9f6d-43a2-91a0-ca8529c1609d · outbound

This paper cites A new regularization- based continual learning framework,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning A new regularization- based continual learning framework,

Reference 5

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Observation 08831f0c-c1f1-4aa5-8ec5-1cb51ce224fe · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Overcoming catastrophic forgetting in neural networks,

Reference 6

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Observation c6ecb146-2098-4378-97f8-2ac244ad2414 · outbound

This paper cites A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 7

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Observation 92845ba6-0295-4293-b61e-bd4e63b55551 · outbound

This paper cites Growing a brain with sparsity-inducing generation for continual learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Growing a brain with sparsity-inducing generation for continual learning,

Reference 8

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Observation c9b7ecdb-ed11-4097-a2c7-7bbb32c1d88b · outbound

This paper cites DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

Reference 9

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Observation 57625a07-8eb5-48c0-80ca-1cd9fe1dfef9 · outbound

This paper cites Directions of Curvature as an Explanation for Loss of Plasticity.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 10

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Observation ec8737d8-593f-4c3b-9cc0-cd25f1ca00b6 · outbound

This paper cites Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 11

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Observation 0cd27d62-7deb-44d2-b57d-7d8d82fb8231 · outbound

This paper cites Deep reinforcement learning with plasticity injection,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Deep reinforcement learning with plasticity injection,

Reference 12

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Observation 29bb4d04-677e-40de-a77c-009b7522f058 · outbound

This paper cites The dormant neuron phenomenon in deep reinforcement learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning The dormant neuron phenomenon in deep reinforcement learning,

Reference 13

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This paper cites Understanding plasticity in neural networks,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Understanding plasticity in neural networks,

Reference 14

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Observation 4f7e638e-2ea3-42c1-b96f-2d8d7012bd5f · outbound

This paper cites Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Reference 15

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Observation 23459b5a-9661-4504-8df8-e47c9ccb9e92 · outbound

This paper cites Dash: Warm-starting neural net- work training in stationary settings without loss of plasticity,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Dash: Warm-starting neural net- work training in stationary settings without loss of plasticity,

Reference 16

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Observation bf254a9d-6317-46e1-83e7-61b345de59c4 · outbound

This paper cites Loss of plasticity in deep continual learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Loss of plasticity in deep continual learning,

Reference 17

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Observation ee2caf3a-7528-49b1-8a2b-69d761a38588 · outbound

This paper cites Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

Reference 18

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Observation c6ea9553-4bd2-40ce-80a9-873194bef6e6 · outbound

This paper cites Learning Continually by Spectral Regularization.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Learning Continually by Spectral Regularization

Reference 19

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This paper cites Weight Clipping for Deep Continual and Reinforcement Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Weight Clipping for Deep Continual and Reinforcement Learning

Reference 20

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This paper cites Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation

Reference 21

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This paper cites Understanding and Preventing Capacity Loss in Reinforcement Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Understanding and Preventing Capacity Loss in Reinforcement Learning

Reference 22

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This paper cites Bigger, regularized, optimistic: scaling for compute and sample efficient continuous control,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Bigger, regularized, optimistic: scaling for compute and sample efficient continuous control,

Reference 23

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This paper cites In value-based deep reinforcement learning, a pruned network is a good network.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning In value-based deep reinforcement learning, a pruned network is a good network

Reference 24

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This paper cites Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss

Reference 25

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This paper cites Activation Function Design Sustains Plasticity in Continual Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Activation Function Design Sustains Plasticity in Continual Learning

Reference 26

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Rectifier nonlinearities improve neural network acoustic models,

Reference 27

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This paper cites On the spectral bias of neural networks,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning On the spectral bias of neural networks,

Reference 28

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This paper cites Staf: Sinusoidal trainable activation functions for implicit neural representation,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Staf: Sinusoidal trainable activation functions for implicit neural representation,

Reference 29

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This paper cites Adaptive Rational Activations to Boost Deep Reinforcement Learning.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Adaptive Rational Activations to Boost Deep Reinforcement Learning

Reference 30

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning KAN: Kolmogorov-Arnold Networks

Reference 31

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Continual Backprop: Stochastic Gradient Descent with Persistent Randomness

Reference 32

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This paper cites On the realization of a kolmogorov network,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning On the realization of a kolmogorov network,

Reference 33

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 34

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Neural tangent kernel: Con- vergence and generalization in neural networks,

Reference 35

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This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Reference 36

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This paper cites Convergence beyond the over- parameterized regime using rayleigh quotients,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Convergence beyond the over- parameterized regime using rayleigh quotients,

Reference 37

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Discrete-time signal processing,

Reference 38

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This paper cites A wavelet tour of signal processing: the sparse way.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning A wavelet tour of signal processing: the sparse way

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:38:07.414460Z

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Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Unresolved cited work

Reference 40

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This paper cites A wavelet tour of signal processing,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning A wavelet tour of signal processing,

Reference 41

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This paper cites Maintaining Plasticity in Continual Learning via Regenerative Regularization.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 42

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This paper cites Gradient-based learning applied to document recognition,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Gradient-based learning applied to document recognition,

Reference 43

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This paper cites Pycil: a python toolbox for class-incremental learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Pycil: a python toolbox for class-incremental learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:38:07.362153Z

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This paper cites Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:38:07.344825Z

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This paper cites Maintaining dis- crimination and fairness in class incremental learning,.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Maintaining dis- crimination and fairness in class incremental learning,

Reference 46

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