Noise-Tolerant Coreset-Based Class Incremental Continual Learning | Paper Citation Record

Observation 60188c08-ae2f-470d-a5b6-d8246dcd332c · outbound

This paper cites Brainwash: A poisoning attack to forget in continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Brainwash: A poisoning attack to forget in continual learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:22.157553Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b18ea2f-92b5-44ef-9957-d29ddea406d7 · outbound

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

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Memory aware synapses: Learning what (not) to forget

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:22.139874Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 37fb1e63-19f6-4dcc-9d15-f0700daebd4b · outbound

This paper cites Gradient based sample selection for online continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Gradient based sample selection for online continual learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:22.123191Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbf86410-a93e-488d-9c79-e48cdd5be2e3 · outbound

This paper cites Tackling Online One-Class Incremental Learning by Removing Negative Contrasts.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Tackling Online One-Class Incremental Learning by Removing Negative Contrasts

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:02:21.052576Z

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Observation b9ee697b-fcac-44d6-88b6-a8db5e9018c5 · outbound

This paper cites Towards adversarially robust continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Towards adversarially robust continual learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:22.107268Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3df64fcf-29ae-46c9-866a-36434ef68919 · outbound

This paper cites Coresets via bilevel optimization for continual learning and stream- ing.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Coresets via bilevel optimization for continual learning and stream- ing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:22.091021Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38fd26d6-3c33-4c15-8477-b97d9c493639 · outbound

This paper cites Dark experience for gen- eral continual learning: a strong, simple baseline.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Dark experience for gen- eral continual learning: a strong, simple baseline

Reference 7

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Observation fad55a2f-6cec-4597-bcf2-e66a44203a30 · outbound

This paper cites Avalanche: A pytorch li- brary for deep continual learning.Journal of Machine Learn- ing Research, 24(363):1–6, 2023.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Avalanche: A pytorch li- brary for deep continual learning.Journal of Machine Learn- ing Research, 24(363):1–6, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.943385Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e247fa2-62ed-42b2-8b77-575ce96699ed · outbound

This paper cites Lifelong machine learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Lifelong machine learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.928173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3f96422-3cc2-49d1-8a01-28486be88570 · outbound

This paper cites Lifelong machine learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Lifelong machine learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.912033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5fada0c3-bcda-442a-bc12-2f1fe28ed7a4 · outbound

This paper cites A continual learning survey: Defying for- getting in classification tasks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning A continual learning survey: Defying for- getting in classification tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.896102Z

Source-reported events for the cited work

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Observation f9c3fc97-8a71-4199-b5a4-0ff0f6efd7d2 · outbound

This paper cites Don't forget, there is more than forgetting: new metrics for Continual Learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Don't forget, there is more than forgetting: new metrics for Continual Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.501730Z

Source-reported events for the cited work

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Observation 90cfb170-a6e2-4600-8a04-f21968200285 · outbound

This paper cites Progressive learning: A deep learning framework for contin- ual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Progressive learning: A deep learning framework for contin- ual learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.880723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c648ce56-755f-46a2-9f1d-5765f1ffc0e3 · outbound

This paper cites Persistent Backdoor Attacks in Continual Learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Persistent Backdoor Attacks in Continual Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.511853Z

Source-reported events for the cited work

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Observation 8d921feb-ddba-4626-91a2-822655559e01 · outbound

This paper cites Remind your neural net- work to prevent catastrophic forgetting.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Remind your neural net- work to prevent catastrophic forgetting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.864675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfb00937-c7fb-4151-bafa-e45e4af699ef · outbound

This paper cites Deep residual learning for image recognition.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Deep residual learning for image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.847317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ba5c7e9-587c-46dc-9588-ddedec3ecbee · outbound

This paper cites Compacting, picking and growing for unforgetting continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Compacting, picking and growing for unforgetting continual learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.830253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77d1eae4-356c-408e-baeb-1c4ee283f8c9 · outbound

This paper cites Selective experience re- play for lifelong learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Selective experience re- play for lifelong learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.811393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d913b60-8ec4-4c45-b96c-bce2d438f70c · outbound

This paper cites Robustness-preserving lifelong learning via dataset condensation.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Robustness-preserving lifelong learning via dataset condensation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.794243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64d01015-8edb-4e97-9348-d48326b1cd42 · outbound

This paper cites Continual poi- soning of generative models to promote catastrophic forget- ting.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Continual poi- soning of generative models to promote catastrophic forget- ting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.777560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 024939eb-a6c9-4c71-9120-c39808d7d5bd · outbound

This paper cites Poisoning gen- erative replay in continual learning to promote forgetting.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Poisoning gen- erative replay in continual learning to promote forgetting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.761490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9146e8c3-731c-40a5-979c-6f2693ed51b4 · outbound

This paper cites Not all sam- ples are created equal: Deep learning with importance sam- pling.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Not all sam- ples are created equal: Deep learning with importance sam- pling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.740797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83f173e0-e35b-4b06-95dc-2f36244d547f · outbound

This paper cites Mstar extended operating conditions: A tutorial.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Mstar extended operating conditions: A tutorial

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.719320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52e9f8e0-25d2-489e-a9a2-efd1644db096 · outbound

This paper cites Adversarially robust continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Adversarially robust continual learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.700389Z

Source-reported events for the cited work

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Observation e3ab875c-8276-4176-8f92-0190c43aca6e · outbound

This paper cites Knowledge transfer in lifelong machine learning: a system- atic literature review.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Knowledge transfer in lifelong machine learning: a system- atic literature review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.683729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd356f62-ace2-44af-8cc1-9fb63f65c79b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Adam: A Method for Stochastic Optimization

Reference 26

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Source-reported events for the cited work

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Observation 9244605d-38a6-4f74-9562-41528eda9a69 · outbound

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

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Overcoming catastrophic forgetting in neu- ral networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.666573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 894a56fc-5110-4bcb-9034-a8d7aff4266a · outbound

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

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Learning multiple layers of features from tiny images

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.577511Z

Source-reported events for the cited work

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Observation 91d48aa1-2bd9-4fea-8cfe-6d6a7b37d800 · outbound

This paper cites an unresolved cited work.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 6d3b49a6-9db8-4b9e-9ada-1cc8d5ab10cc · outbound

This paper cites Targeted data poisoning at- tacks against continual learning neural networks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Targeted data poisoning at- tacks against continual learning neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.621110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 29fd012e-e1de-44e0-bd99-4cfd7aa87377 · outbound

This paper cites PACOL: Poisoning Attacks Against Continual Learners.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning PACOL: Poisoning Attacks Against Continual Learners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.591661Z

Source-reported events for the cited work

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Observation fd9256d4-1017-463b-8ebf-d5b974e5a6f6 · outbound

This paper cites Gradient descent with early stopping is provably robust to label noise for overparameterized neural networks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Gradient descent with early stopping is provably robust to label noise for overparameterized neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.604649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3ccb0a8-b32c-4ee6-a3c0-22b438e24103 · outbound

This paper cites Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.587866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0534661-044a-48ad-a614-a394fea0b808 · outbound

This paper cites Avalanche: an end-to-end library for contin- ual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Avalanche: an end-to-end library for contin- ual learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.572294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de004d84-43e8-49fb-8369-50f77b30600e · outbound

This paper cites Gradient episodic memory for continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Gradient episodic memory for continual learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.555290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9234419b-61b3-4bdd-ad0e-6d9141b2cc60 · outbound

This paper cites Coresets for robust training of deep neural networks against noisy labels.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Coresets for robust training of deep neural networks against noisy labels

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.535356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96287101-c89f-43ba-9674-b760e5b0bc43 · outbound

This paper cites Coresets- methods and history: A theoreticians design pattern for ap- proximation and streaming algorithms.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Coresets- methods and history: A theoreticians design pattern for ap- proximation and streaming algorithms

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.517230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3806ea34-ed58-4a12-9abc-a86dc11057ca · outbound

This paper cites Lifelong Learning Metrics.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Lifelong Learning Metrics

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.630563Z

Source-reported events for the cited work

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Observation 3e20570f-67e7-4a6b-9cf9-90f6f5aaa0c1 · outbound

This paper cites Latent replay for real-time continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Latent replay for real-time continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.498986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04d41fd9-64f7-4871-85c3-0fb356f886a3 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning icarl: Incremental classifier and representation learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.482610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8db54548-43f1-461b-a51e-8e099baa7988 · outbound

This paper cites Experience replay for continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Experience replay for continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.465789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85f9fdc3-9ff1-477c-b5d8-2efdec744b93 · outbound

This paper cites Maintaining Adversarial Robustness in Continuous Learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Maintaining Adversarial Robustness in Continuous Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.650433Z

Source-reported events for the cited work

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Observation 37696f2e-986c-4087-bf8a-5a92703832b2 · outbound

This paper cites Progressive Neural Networks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Progressive Neural Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.656098Z

Source-reported events for the cited work

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Observation 308eb852-dc61-4f53-b7cb-96b012e3266f · outbound

This paper cites Hidden trigger backdoor attacks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Hidden trigger backdoor attacks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.449880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90970104-0f63-42e1-9d21-eed264a5676a · outbound

This paper cites Prioritized Experience Replay.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Prioritized Experience Replay

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.667079Z

Source-reported events for the cited work

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Observation 4215a16b-b845-45cc-a1e1-119e040915a7 · outbound

This paper cites Continual learning with deep generative replay.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Continual learning with deep generative replay

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.432264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58cee3a1-5f41-4948-96df-9e618c9eb003 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.412263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8dcc596-24fa-4cc0-886e-4e1456273d1d · outbound

This paper cites Lifelong learning algorithms.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Lifelong learning algorithms

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.388074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b3d61f9-367a-4119-8107-edb8aaf1e679 · outbound

This paper cites Gcr: Gradient coreset based replay buffer selection for continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Gcr: Gradient coreset based replay buffer selection for continual learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.369437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79c53021-fcd3-4ba8-a437-1a8827109360 · outbound

This paper cites Adversarial targeted forgetting in regularization and generative based continual learning models.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Adversarial targeted forgetting in regularization and generative based continual learning models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.350108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28e25329-3fc8-49c2-9f76-9055d48a4d2d · outbound

This paper cites Adversary aware con- tinual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Adversary aware con- tinual learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.333926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c9ce442-74ce-4d6e-a86c-55e189d24814 · outbound

This paper cites Tar- geted forgetting and false memory formation in continual learners through adversarial backdoor attacks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Tar- geted forgetting and false memory formation in continual learners through adversarial backdoor attacks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.315901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b306259b-4f80-4de4-bf88-f936d63b5981 · outbound

This paper cites Three scenarios for continual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Three scenarios for continual learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.708805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d26ac633-c813-401d-b1ad-3658e620bb5a · outbound

This paper cites Three types of incremental learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Three types of incremental learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.294423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9c1b940-b89b-4e4a-9d2e-dff85178b9a4 · outbound

This paper cites Prioritized Generative Replay.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Prioritized Generative Replay

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.718465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c2bc3a-cc92-4624-bc3b-3379848917c7 · outbound

This paper cites Metamix: Towards corruption-robust continual learning with tempo- rally self-adaptive data transformation.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Metamix: Towards corruption-robust continual learning with tempo- rally self-adaptive data transformation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.276211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2ab56a2-4bbc-4580-a9de-dcf3c720065e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.728091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77b43e87-fda7-48d2-9bfe-4152e9ec5537 · outbound

This paper cites Medm- nist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Medm- nist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.732757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307df475-e0f0-4c76-a7c7-7dce02453dee · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Lifelong Learning with Dynamically Expandable Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.736941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4472a2e6-2b80-40a1-8516-04249db76d90 · outbound

This paper cites Online coreset selection for rehearsal-based contin- 10 ual learning.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Online coreset selection for rehearsal-based contin- 10 ual learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.236314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4994b0f8-bae7-44f9-b132-ec1937923ddb · outbound

This paper cites Contin- ual learning through synaptic intelligence.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Contin- ual learning through synaptic intelligence

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:20.745646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e90d872-b2f2-49ef-a778-d9c30220b023 · outbound

This paper cites We first need to define subspacesS+ andS−.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning We first need to define subspacesS+ andS−

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.169392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bbf2782-38f9-4cf5-b906-32fbf50f8b37 · outbound

This paper cites an unresolved cited work.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:02:21.151292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8d31136-fc33-46b3-b0bc-8207acbb527f · outbound

This paper cites At (e) we use the fact that∥J (WT )∥2≥α and so−∥J (WT )∥2≤−α.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning At (e) we use the fact that∥J (WT )∥2≥α and so−∥J (WT )∥2≤−α

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.131687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a84e953-651e-481e-976b-9e861db6109f · outbound

This paper cites splitMNIST.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning splitMNIST

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:02:21.102536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d50a810c-2e5e-43d8-a2fb-22724fc9d3c8 · outbound

This paper cites an unresolved cited work.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Unresolved cited work

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T11:02:21.076588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 328c6a29-f053-47fa-8abb-d12bc0f506a9 · outbound

This paper cites an unresolved cited work.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:02:21.192957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers