Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning | Paper Citation Record

Observation eeb47e35-2ef4-418c-8456-6d8eb973d025 · outbound

This paper cites write newline.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning write newline

Reference 1

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Observation 7fa24c3f-7fdd-4b98-bba8-aac608ad635e · outbound

This paper cites Online continual learning with maximal interfered retrieval.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Online continual learning with maximal interfered retrieval

Reference 2

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Observation 9fea5e7b-0d5c-4dcd-96d3-ded1c6e45a54 · outbound

This paper cites Task-free continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Task-free continual learning

Reference 3

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Observation 08107db4-71c6-4b6b-b5ed-67ba1df97678 · outbound

This paper cites Natural gradient works efficiently in learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Natural gradient works efficiently in learning

Reference 4

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Observation b9aea19e-4e25-4f3f-a306-5423f9a403f8 · outbound

This paper cites Information geometry and its applications, volume 194.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Information geometry and its applications, volume 194

Reference 5

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Observation 0f366849-6c37-4a35-a275-b8cdf5a7693d · outbound

This paper cites Gradient descent on neurons and its link to approximate second-order optimization.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Gradient descent on neurons and its link to approximate second-order optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.299993Z

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Observation 19b9a3a7-73e7-4f42-8f9a-65e5ce0c9e7a · outbound

This paper cites Gradient descent on neurons and its link to approximate second-order optimization.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Gradient descent on neurons and its link to approximate second-order optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.289027Z

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Observation 306620b0-2e7c-4438-a447-b45521406250 · outbound

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

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Dark experience for general continual learning: a strong, simple baseline

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.278315Z

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Observation 88c2d6cd-d72a-4105-891d-fc2615454d02 · outbound

This paper cites New insights on reducing abrupt representation change in online continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning New insights on reducing abrupt representation change in online continual learning

Reference 9

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Observation 96a68a38-4326-4dbf-9f6f-06c88fbf0a9a · outbound

This paper cites Avalanche: A pytorch library for deep continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Avalanche: A pytorch library for deep continual learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.261413Z

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Observation 72dab256-d9bb-4ce9-ae76-d61a93b35a42 · outbound

This paper cites K., Ajanthan, T., and Torr, P.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning K., Ajanthan, T., and Torr, P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.250187Z

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Observation 0321177c-9e29-413a-a613-f2d50b2bfcba · outbound

This paper cites K., Ajanthan, T., and Torr, P.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning K., Ajanthan, T., and Torr, P

Reference 12

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Observation 604ddba0-405b-400f-aa64-925902651253 · outbound

This paper cites Efficient lifelong learning with A-GEM.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Efficient lifelong learning with A-GEM

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.239531Z

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Observation 937e0aa5-35fa-4eca-a4f2-c174460c9d49 · outbound

This paper cites Continual learning with tiny episodic memories.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Continual learning with tiny episodic memories

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.230044Z

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Observation bf74e028-1609-4047-bff4-00b339251165 · outbound

This paper cites Probing representation forgetting in supervised and unsupervised continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Probing representation forgetting in supervised and unsupervised continual learning

Reference 15

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Observation 518293be-d054-4dd5-a897-ab993153cc06 · outbound

This paper cites E., Hern \'a ndez-Lobato, J.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning E., Hern \'a ndez-Lobato, J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.212707Z

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Observation 2020400b-cd4c-4eb4-9a29-f35f27f180bd · outbound

This paper cites Continual evaluation for lifelong learning: Identifying the stability gap, 2023.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Continual evaluation for lifelong learning: Identifying the stability gap, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.201468Z

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Observation 592a9bc3-72fa-4da7-a1f9-f354e0812365 · outbound

This paper cites F., Lan, Q., Rahman, P., Mahmood, A.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning F., Lan, Q., Rahman, P., Mahmood, A

Reference 18

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This paper cites and Koopman, S.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Koopman, S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.190534Z

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Observation d2c535a7-b038-4c6c-9f24-06ad5d9c9458 · outbound

This paper cites Orthogonal gradient descent for continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Orthogonal gradient descent for continual learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.179339Z

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Observation 8f4df8b6-2a39-4716-9afe-de9b34b3368e · outbound

This paper cites an unresolved cited work.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Unresolved cited work

Reference 21

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Observation e4a190b4-31df-4389-86ca-ddbe3e3a424b · outbound

This paper cites NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch , February 2021.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch , February 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.393999Z

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Observation 3404f74e-5f77-4e02-89ca-fc142c6e364d · outbound

This paper cites Fast approximate natural gradient descent in a kronecker factored eigenbasis.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Fast approximate natural gradient descent in a kronecker factored eigenbasis

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-09T14:17:22.930879Z

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Observation e1e136fc-3f4e-4308-bcc5-ea9dff228eae · outbound

This paper cites Fast approximate natural gradient descent in a kronecker factored eigenbasis.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Fast approximate natural gradient descent in a kronecker factored eigenbasis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.161437Z

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Observation 4e957a85-d583-4bb6-85c4-980a3f7ff035 · outbound

This paper cites Online continual learning through mutual information maximization.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Online continual learning through mutual information maximization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.150855Z

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Observation 1cd78a55-9909-45a2-99af-7b1bba5a2285 · outbound

This paper cites Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:17:22.166773Z

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Observation 78e30661-b46b-4e3f-ab43-3cef9b56d476 · outbound

This paper cites On Quadratic Penalties in Elastic Weight Consolidation.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning On Quadratic Penalties in Elastic Weight Consolidation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:17:22.768869Z

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Observation 665f5497-a11c-4420-b0de-f7aec42219d0 · outbound

This paper cites The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:17:22.150541Z

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Observation 38e7759b-2368-43cf-b221-1c829d0f2754 · outbound

This paper cites T., van de Ven, G., Bernacchia, A., and Hennequin, G.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning T., van de Ven, G., Bernacchia, A., and Hennequin, G

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.140006Z

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Observation fd0bb902-5ebc-4286-aff0-5e9079203017 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Adam: A Method for Stochastic Optimization

Reference 31

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This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.427704Z

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Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Unresolved cited work

Reference 33

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Observation ad57efd2-3bba-4837-b26d-8171354c3d9a · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Limitations of the empirical fisher approximation for natural gradient descent

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.113604Z

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Observation f9982907-26ee-4b41-a474-92fd61960940 · outbound

This paper cites D., Aljundi, R., Masana, M., Parisot, S., Jia, X., Leonardis, A., Slabaugh, G.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning D., Aljundi, R., Masana, M., Parisot, S., Jia, X., Leonardis, A., Slabaugh, G

Reference 35

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Observation f87b3f84-b236-4b35-8c5a-cdf1514bb4ee · outbound

This paper cites D., van de Ven, G.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning D., van de Ven, G

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.104134Z

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Observation 628a58a0-84ce-4632-9e98-862e0aaeb507 · outbound

This paper cites Deep learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Deep learning

Reference 37

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Observation f15e7102-ea3c-46ec-97aa-bc01b0226daa · outbound

This paper cites and Hoiem, D.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Hoiem, D

Reference 38

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Observation 057a7fe4-df1b-49d7-a2ef-7ef2e25d6a06 · outbound

This paper cites The clear benchmark: Continual learning on real-world imagery.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning The clear benchmark: Continual learning on real-world imagery

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.082500Z

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Observation f058e830-fc05-471e-9ddb-6d841a38bdb6 · outbound

This paper cites M., and Bagdanov, A.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning M., and Bagdanov, A

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.072732Z

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Observation a5736bc4-896a-43a9-a80b-a39bb860b8fc · outbound

This paper cites and Ranzato, M.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Ranzato, M

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.866329Z

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Observation 5ac35881-9954-4723-9686-1ff1450cbc7b · outbound

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Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:17:23.057076Z

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Observation 80d7fdf7-78a9-4a4b-805c-3fefdbfd4008 · outbound

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

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.873639Z

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Observation 45c29765-e859-4821-8b12-ba5897cd7aa2 · outbound

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

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Online continual learning in image classification: An empirical survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.877833Z

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Observation d81e55a9-9797-4801-aeba-2f6228149533 · outbound

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

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Online continual learning in image classification: An empirical survey

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.040496Z

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Observation bf24fead-54b1-4f5a-b544-0f113c635269 · outbound

This paper cites New insights and perspectives on the natural gradient method.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning New insights and perspectives on the natural gradient method

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.886415Z

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This paper cites and Grosse, R.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Grosse, R

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.889866Z

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Observation e58548cc-39fc-4914-b770-03a86d43b591 · outbound

This paper cites and Sutskever, I.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Sutskever, I

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.893552Z

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Observation 7384ff9d-0d4e-47a2-a8f2-7fb22ead5aaa · outbound

This paper cites D., and van de Weijer, J.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning D., and van de Weijer, J

Reference 49

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T14:17:22.545822Z

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Observation d380284e-19c1-4219-91db-d44006bb28d6 · outbound

This paper cites Understanding the role of training regimes in continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Understanding the role of training regimes in continual learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:23.009858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bc0c8a2-b464-4607-927e-0fe0d959bb43 · outbound

This paper cites Linear mode connectivity in multitask and continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Linear mode connectivity in multitask and continual learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:22.998521Z

Source-reported events for the cited work

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Observation fce2d3e1-bf98-49aa-ace1-5730ac6fe413 · outbound

This paper cites Information-geometric optimization algorithms: A unifying picture via invariance principles.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Information-geometric optimization algorithms: A unifying picture via invariance principles

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:22.987857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8df7eb8b-cac2-40e1-bacc-fe9c938b4f1c · outbound

This paper cites an unresolved cited work.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Unresolved cited work

Reference 53

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2d7fdcb-b05b-4275-96e6-41f9998dcc01 · outbound

This paper cites H., and Dokania, P.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning H., and Dokania, P

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:22.965797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da18d8e5-93f8-41cb-b537-0ee56e99ee67 · outbound

This paper cites Gradient projection memory for continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Gradient projection memory for continual learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:17:22.954738Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45034479-6dec-480b-b995-ce7f282d9d1c · outbound

This paper cites A comprehensive empirical evaluation on online continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning A comprehensive empirical evaluation on online continual learning

Reference 56

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T14:17:22.374668Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9003b5c4-2239-4eeb-9f62-ee923b0d0abd · outbound

This paper cites and Joy, A.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning and Joy, A

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.926412Z

Source-reported events for the cited work

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Observation 1a97bc26-1338-434d-ac72-6b225753c6fd · outbound

This paper cites Three scenarios for continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Three scenarios for continual learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.930120Z

Source-reported events for the cited work

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Observation 86757542-bcb8-4b0d-a25b-cf58e52330fb · outbound

This paper cites Online prototype learning for online continual learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Online prototype learning for online continual learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T14:17:21.971461Z

Source-reported events for the cited work

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Observation 40f13a30-66f4-45b8-a33e-109eed68565e · outbound

This paper cites Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:17:22.201998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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