Paper Citation Record · LEDGER

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2412.18177.

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

pith.paper-citation-record.v1
2412.18177 v1

Coverage vector

measured 57 of 57 reference resolution

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T21:13:41.362773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:51.232951Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation d9511279-b8ab-49fa-b1f6-1de2ce69f200 · outbound

This paper cites The heterogeneous multiscale method.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization The heterogeneous multiscale method

Reference 1

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Observation 7762d591-7418-431e-8881-44ce32977c0c · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Memory aware synapses: Learning what (not) to forget

Reference 2

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Observation 53d60b09-b7b1-405c-8818-f9bc513a9efe · outbound

This paper cites Online continual learning with maximal interfered retrieval.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Online continual learning with maximal interfered retrieval

Reference 3

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Observation 35816eea-3351-4790-99b8-2830f3411216 · outbound

This paper cites BlackMamba: Mixture of Experts for State-Space Models.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization BlackMamba: Mixture of Experts for State-Space Models

Reference 4

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Observation 5bee9283-6146-451c-b85f-bda07091fda0 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Dark experience for general continual learning: a strong, simple baseline

Reference 5

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Observation 170e0571-db03-4110-bb3c-8efbed567af9 · outbound

This paper cites Riemannian walk for incremen- tal learning: Understanding forgetting and intransigence.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Riemannian walk for incremen- tal learning: Understanding forgetting and intransigence

Reference 6

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Observation 8465ca93-55f0-4ea7-8d5d-949bc09927dd · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Efficient Lifelong Learning with A-GEM

Reference 7

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Observation 12c3594d-16d9-4d66-820c-36b44d7c378c · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization A decoder-only foundation model for time-series forecasting

Reference 8

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Observation 6d8e04b6-ff2d-4621-9d9f-9b7909972c23 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization A continual learning survey: Defying forgetting in classification tasks

Reference 9

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Observation fcaa71bb-fb12-4599-8ea0-db36f97ec5a7 · outbound

This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Learning Factored Representations in a Deep Mixture of Experts

Reference 10

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Observation eb74b845-c987-4ed0-81bf-f6af9407b8ac · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity

Reference 11

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Observation 38ea8650-ed2f-4637-9f02-495207b11e00 · outbound

This paper cites Enhancing knowledge transfer for task incremental learning with data-free subnetwork.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Enhancing knowledge transfer for task incremental learning with data-free subnetwork

Reference 12

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Observation 9586fab1-04df-40dc-a0fc-859e097b24c9 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

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Observation c8f48fff-b2c4-47ee-b72f-ad4f4a1b4713 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

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Observation f7451f4e-c53d-4a0a-9cba-3ffb9b16e12c · outbound

This paper cites Nonlinear oscilla- tions, dynamical systems, and bifurcations of vector fields.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Nonlinear oscilla- tions, dynamical systems, and bifurcations of vector fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.371527Z

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Observation 223e5626-954a-4849-8a34-83c160855a28 · outbound

This paper cites Survey on online streaming con- tinual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Survey on online streaming con- tinual learning

Reference 16

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Observation 7fd10be7-53d7-40dc-8f6c-0db2a0e5b8fc · outbound

This paper cites Online contin- ual learning through mutual information maximization.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Online contin- ual learning through mutual information maximization

Reference 17

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Observation 2c2713a6-bfd2-406d-b1f0-d28fbd4f038a · outbound

This paper cites Dealing with cross-task class discrimination in online continual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Dealing with cross-task class discrimination in online continual learning

Reference 18

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Observation 51acda12-3c46-4989-a8de-ea02fff8b8a5 · outbound

This paper cites Jacobs, Michael I.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Jacobs, Michael I

Reference 19

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Observation 27be2a9c-d72c-45f8-b124-cfe8df9eb8a8 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Overcoming catastrophic forgetting in neu- ral networks

Reference 20

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Observation 7de444cf-dbf8-40b1-bce0-4c07fe0ebb87 · outbound

This paper cites Learning multiple layers of features from tiny images.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Learning multiple layers of features from tiny images

Reference 21

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Observation 040181da-6b41-4c09-ad7f-d69be9f7b7a3 · outbound

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Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Unresolved cited work

Reference 22

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Observation 1e0fd3f2-1a95-4629-a985-ffc402869e5c · outbound

This paper cites Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 23

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Observation fe1a4da5-4b93-43cc-9bad-eb9759cab269 · outbound

This paper cites Learning without forgetting.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Learning without forgetting

Reference 24

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Observation 20a357db-af64-4579-bc29-f3cccb1b7dc0 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Jamba: A Hybrid Transformer-Mamba Language Model

Reference 25

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Observation a9b78675-aa36-40b2-a035-d83c61e14ef5 · outbound

This paper cites VMamba: Visual State Space Model.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization VMamba: Visual State Space Model

Reference 26

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Observation 8643a96b-6192-420e-8805-9fec9b74ca90 · outbound

This paper cites Gradient episodic memory for continual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Gradient episodic memory for continual learning

Reference 27

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Observation 88166792-9c69-4617-9e84-2c1afeb1a75a · outbound

This paper cites Online continual learning in image classification: An empirical survey.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Online continual learning in image classification: An empirical survey

Reference 28

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Observation 0f75f05e-076a-4a5f-a01e-c29454514d14 · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Long Range Language Modeling via Gated State Spaces

Reference 29

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This paper cites Continual lifelong learning with neural networks: A review.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Continual lifelong learning with neural networks: A review

Reference 30

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Observation 14c5924b-3fe1-491f-8e8b-8648e3ffe12f · outbound

This paper cites MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Reference 31

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Observation 70f25bbf-1e03-49e4-a503-c1373e5a263a · outbound

This paper cites icarl: Incremental classi- fier and representation learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization icarl: Incremental classi- fier and representation learning

Reference 32

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Observation 707b1934-0a51-4419-bfb3-ffca36a8eea7 · outbound

This paper cites Experience replay for continual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Experience replay for continual learning

Reference 33

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This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 34

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Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Progressive Neural Networks

Reference 35

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This paper cites Learning equi-angular representa- tions for online continual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Learning equi-angular representa- tions for online continual learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.205688Z

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This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Overcoming catastrophic forgetting with hard attention to the task

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.193051Z

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Observation a1466afa-45bb-4df8-b768-4494e11967c5 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 38

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This paper cites Visualizing data using t-sne.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Visualizing data using t-sne

Reference 39

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This paper cites Attention is all you need.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Attention is all you need

Reference 40

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This paper cites Afec: Active forgetting of negative transfer in continual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Afec: Active forgetting of negative transfer in continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.166104Z

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Observation 08cd1211-cb44-4f91-8afd-3dabbb7488e9 · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization A comprehensive survey of continual learning: theory, method and application

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.154238Z

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Observation 53400069-aff4-479f-a1bf-dcf87b70aa3e · outbound

This paper cites Improving plasticity in online continual learning via collaborative learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Improving plasticity in online continual learning via collaborative learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.143062Z

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Observation 74a1f050-5222-4689-a360-db2eafb31b5f · outbound

This paper cites Online prototype learning for online con- tinual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Online prototype learning for online con- tinual learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.131158Z

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Observation 0f9b1625-8bda-47f2-a653-2ad04148ef88 · outbound

This paper cites Online prototype learning for online con- tinual learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Online prototype learning for online con- tinual learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.118053Z

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Observation fd814f1f-c8fa-42d2-a0c2-0903af81adf5 · outbound

This paper cites Supermasks in superposition.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Supermasks in superposition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.105536Z

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Observation 314f4e3e-232b-4653-aacd-42fc6306abc2 · outbound

This paper cites Neural collapse inspired attraction–repulsion-balanced loss for im- balanced learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Neural collapse inspired attraction–repulsion-balanced loss for im- balanced learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.092706Z

Source-reported events for the cited work

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Observation 53475c75-83e9-4ca6-bb9b-058565c3dc6a · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.079634Z

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Observation c7dee7d6-7a05-4556-accf-186fcabb12fc · outbound

This paper cites Orchestrate latent expertise: Advancing online contin- ual learning with multi-level supervision and reverse self- distillation.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Orchestrate latent expertise: Advancing online contin- ual learning with multi-level supervision and reverse self- distillation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.066062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60bf4fc0-b793-4789-87fb-a58bb8439d4c · outbound

This paper cites Inducing neural collapse in imbalanced learning: Do we really need a learnable clas- sifier at the end of deep neural network? In NeurIPS, pages 37991–38002.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Inducing neural collapse in imbalanced learning: Do we really need a learnable clas- sifier at the end of deep neural network? In NeurIPS, pages 37991–38002

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.053343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7a0b800-6af0-4a22-bcc7-ae0ac0e0313f · outbound

This paper cites Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:45.750411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047e8eea-3ff7-48d6-be07-59e78bbd991b · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Lifelong Learning with Dynamically Expandable Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:45.754864Z

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Unavailable: canonical work link unavailable.

Observation d3de1a31-487b-4bcd-9d0f-b41cd4ba07a7 · outbound

This paper cites Wilson, and Paul D.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Wilson, and Paul D

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.034898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d68f7b97-88f9-4af4-ba3c-b8c8bbe67b47 · outbound

This paper cites Contin- ual learning through synaptic intelligence.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Contin- ual learning through synaptic intelligence

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.022704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1989bcb-e9a6-456f-9bff-111f595c5bb5 · outbound

This paper cites Understanding im- balanced semantic segmentation through neural collapse.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Understanding im- balanced semantic segmentation through neural collapse

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:46.009147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ea0dce0-78ea-4e97-b4a1-60b026f21fe7 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:45.771015Z

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Observation 63687743-b898-4a31-880a-5fe8099395cd · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:45.774599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c3276a00-f722-4b00-ac07-b50003ea0968 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:16:51.235737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.