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Paper Citation Record · LEDGER

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates

As of 7 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2505.21942.

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

pith.paper-citation-record.v1
2505.21942 v1

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:47.228843Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

99 of 99 outbound references displayed

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  • verified fuzzy39
  • unresolved55
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 6d1fa1c8-4234-43cc-ab22-7df35130d9e7 · outbound

This paper cites write newline.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates write newline

Reference 1

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Observation 2cf6d53e-47aa-4af1-bece-2a989aec564a · outbound

This paper cites Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations

Reference 2

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Observation a8f4e08f-f881-4fcc-be69-727b97b30170 · outbound

This paper cites Expert gate: Lifelong learning with a network of experts.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Expert gate: Lifelong learning with a network of experts

Reference 3

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Observation e52a5ad3-a639-4ad3-935b-f9d5db8a28cb · outbound

This paper cites Online continual learning with maximal interfered retrieval.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Online continual learning with maximal interfered retrieval

Reference 4

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Observation e0ec488e-5e14-44da-a300-abe4d6a5b86c · outbound

This paper cites Learning fast, learning slow: A general continual learning method based on complementary learning system.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Learning fast, learning slow: A general continual learning method based on complementary learning system

Reference 5

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Observation 03380c7a-c12a-4fbc-a12b-3d932e829651 · outbound

This paper cites and Laughlin, S.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Laughlin, S

Reference 6

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Observation 4191e9c7-c181-4401-acd9-00c6f3121c6f · outbound

This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 7

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Observation 58955146-e4a5-49e2-909c-fe7036368ef5 · outbound

This paper cites an unresolved cited work.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 8

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Observation 4bd30133-23e4-4cd9-8b51-94600cef4796 · outbound

This paper cites Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning

Reference 9

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Observation 03efe26d-1afb-438b-8926-2970efc3cae8 · outbound

This paper cites IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning

Reference 10

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Observation 5f3091ea-b14c-4919-b36d-bff4d4f3f794 · outbound

This paper cites S., Zonooz, B., and Arani, E.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates S., Zonooz, B., and Arani, E

Reference 11

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Observation 4f4a2cc3-52eb-44a2-af82-510869dbaf22 · outbound

This paper cites S., Zonooz, B., and Arani, E.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates S., Zonooz, B., and Arani, E

Reference 12

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Observation 79b134f5-8511-4ecb-8960-a754f4eea2b5 · outbound

This paper cites S., Zonooz, B., and Arani, E.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates S., Zonooz, B., and Arani, E

Reference 13

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Observation c6aa77f1-ad63-4b88-8e6e-27c72fa8d1cb · outbound

This paper cites On the effectiveness of lipschitz-driven rehearsal in continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates On the effectiveness of lipschitz-driven rehearsal in continual learning

Reference 14

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Observation f3efd78b-c2e1-4c29-a450-cc64f23e8bd8 · outbound

This paper cites Language Models are Few-Shot Learners.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Language Models are Few-Shot Learners

Reference 15

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Observation 37603691-66dd-4adf-88c8-a3e5243877e7 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Dark experience for general continual learning: a strong, simple baseline

Reference 16

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Observation d51e6e5d-5bab-4743-ac44-0acb8972e6d1 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates New insights on reducing abrupt representation change in online continual learning

Reference 17

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Observation 89f2bec5-e3fa-489a-be7c-5e059523ef79 · outbound

This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 18

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Observation 08f8a794-a55a-499f-ab9c-7d3f4649d2a7 · outbound

This paper cites Co2l: Contrastive continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Co2l: Contrastive continual learning

Reference 19

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Observation 19a1d7f9-7acb-4cd8-bf3b-20b97a0ba446 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates K., Ajanthan, T., and Torr, P

Reference 20

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Observation 3a9d09d7-c682-44bf-bba1-e5bf86a947da · outbound

This paper cites Xception: Deep Learning with Depthwise Separable Convolutions.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Xception: Deep Learning with Depthwise Separable Convolutions

Reference 21

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Observation 93c5e8d1-d2dc-4756-8609-1f273e315732 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates A continual learning survey: Defying forgetting in classification tasks

Reference 22

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Observation 9fefa1d5-9827-4d01-adcb-0678f4eaba40 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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Observation bc0de362-cbe0-4873-bf12-b236498e0e47 · outbound

This paper cites Uncertainty-guided continual learning with bayesian neural networks.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Uncertainty-guided continual learning with bayesian neural networks

Reference 24

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Observation 35e73d41-b1a8-45ab-9e96-19dc07287c9e · outbound

This paper cites Continual Learning via Neural Pruning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Continual Learning via Neural Pruning

Reference 25

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Observation 9548caae-7fe6-4773-95bb-838c6046aeb1 · outbound

This paper cites Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning

Reference 26

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Observation 858ef71d-ea78-477d-bb95-e06ce679c759 · outbound

This paper cites Resurrecting old classes with new data for exemplar-free continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Resurrecting old classes with new data for exemplar-free continual learning

Reference 27

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Observation a4753dbe-302c-4df0-be1c-b08c38ab777e · outbound

This paper cites Network decoupling: From regular to depthwise separable convolutions.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Network decoupling: From regular to depthwise separable convolutions

Reference 28

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Observation 3e8ee4f8-8319-47ac-bed4-8ee8fedc4717 · outbound

This paper cites Depthwise Convolution is All You Need for Learning Multiple Visual Domains.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Depthwise Convolution is All You Need for Learning Multiple Visual Domains

Reference 29

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Observation 5a239dba-5e6a-44df-aede-84dea4498363 · outbound

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 30

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates A., and Pascanu, R

Reference 31

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Deep residual learning for image recognition

Reference 32

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This paper cites Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Pyramidal cell communication within local networks in layer 2/3 of rat neocortex

Reference 33

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Observation b84fe13c-b2f3-4a63-9530-8607575b0f8a · outbound

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates C., Wang, Z., and Lin, D

Reference 34

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Observation 5b729b5a-d532-4b20-a7f1-2a322d92b0f0 · outbound

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Parameter-efficient transfer learning for nlp

Reference 35

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Observation 0ab895bf-eba8-4d52-a53c-457d4df751a1 · outbound

This paper cites Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation

Reference 36

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Observation 66b45a06-4fa8-41b7-817a-bd05aaf3e2ba · outbound

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Continual Learning Beyond Experience Rehearsal and Full Model Surrogates MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 37

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Observation a0835578-69df-43a1-b3fa-32256107db5e · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates LoRA: Low-Rank Adaptation of Large Language Models

Reference 38

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no resolver link, observed 2026-08-07T13:26:41.414686Z

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source=arxiv_source observed=2026-08-07T13:26:41.414686Z digest=sha256:06b09fa95ef08053852ed3b058e59014281c44b14c26b1358d30ebf3307907c9

Observation 291cc4d0-b94c-41e3-808b-eb58ff0740da · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Compacting, picking and growing for unforgetting continual learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:54.133732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:41.495032Z digest=sha256:26c1ba7fa81e6182f0e0acee96877d34b38766b72aceb4d23abde8ba20701e4e

Observation c1d533bf-675d-49ea-b1a2-058bce4d83e9 · outbound

This paper cites C., Lee, J.-H., Wan, T.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates C., Lee, J.-H., Wan, T

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.954978Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:41.605134Z digest=sha256:c50a1687a348abbb59a0696c6ff11dcbc76b11a4ee935c287645fcb3600b1b3d

Observation 7d195d60-fef8-4575-8b7e-a54a54650061 · outbound

This paper cites Birt: bio-inspired replay in vision transformers for continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Birt: bio-inspired replay in vision transformers for continual learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.777798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:41.697655Z digest=sha256:32d611e13f1705bfb83f4873a251560a9e6b884dcebe01fcc10ab7b4d8477d70

Observation 1e535768-6f60-4b41-b5d7-d3009cb857ad · outbound

This paper cites an unresolved cited work.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-07T13:26:41.767945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:41.767945Z digest=sha256:e22f94dc314bc4213def7366b43d9fc8f628d504a70a3f1b598edd5d09845dd9

Observation 44aa520c-852a-4986-98b5-ae81f41bf420 · outbound

This paper cites Segment Anything.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Segment Anything

Reference 43

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no resolver link, observed 2026-08-07T13:26:41.868487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:41.868487Z digest=sha256:93a3998724245be32745f91034104c49c32b6e1e8ca5e604a3b3be53c96c69cd

Observation ede5dba4-c149-4951-ab86-92b1d802294d · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 44

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no resolver link, observed 2026-08-07T13:26:41.974310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:41.974310Z digest=sha256:ac74b6305212e244b01f4d21a40b0b91c527dd2c919cedf3b533ea32fc85ad27

Observation 921b9791-2e73-4655-a722-8efadb477b60 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Learning multiple layers of features from tiny images

Reference 45

Resolution
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no resolver link, observed 2026-08-07T13:26:42.099829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.099829Z digest=sha256:a298ab33c6fac7831da0df194cf3afd8e68cf429cfe37c0e61c1201c8e3983d8

Observation d88b78ad-7c43-448b-9e7f-f8b25bec307e · outbound

This paper cites an unresolved cited work.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:42.182655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.182655Z digest=sha256:70d520dd9deaaec5ffb0e200478e4665682e0f4ca8d2fdb319aaa9f61b9127f8

Observation a4876cea-9896-451e-878a-4759ab2c6fd5 · outbound

This paper cites P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.530390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:42.265575Z digest=sha256:bdef18c59eb3c78ea6cc8532c5b8e2130f73268a3b5820f044e76a158323e338

Observation 6b921597-f96f-456f-9e04-180644c6142f · outbound

This paper cites Investigating multilingual nmt representations at scale.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Investigating multilingual nmt representations at scale

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.369593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:42.377579Z digest=sha256:12255e87fda6e6b3efe5701e60d78b4c6fba90e4bad32377057c946c034c68dd

Observation 837e7e52-4272-4647-842d-9a224489e8fb · outbound

This paper cites and Yang, X.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Yang, X

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:42.486761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.486761Z digest=sha256:6e8ae6c3c40809fb154f6770f64c51b35edd026f0b160704fc6b0f7639a01fe0

Observation 8f334d57-a1f3-44c7-b12b-ff97611cce45 · outbound

This paper cites Learning from students: Online contrastive distillation network for general continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Learning from students: Online contrastive distillation network for general continual learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.217019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:42.592664Z digest=sha256:af8a3fbfcf0cd882122e2abd78ce924dbbc54f84b15ea7e36c734ad1dc3a6545

Observation 0a148411-99b0-4dbf-bdfb-ff92be9ee261 · outbound

This paper cites and Hoiem, D.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Hoiem, D

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:42.701374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.701374Z digest=sha256:9a0f2aad31ebb3f619d12b77b6808dfe51b72af1bbeb5c3641ad8671748f43ac

Observation 87f04f1d-e105-402a-8e24-71d6fc62932e · outbound

This paper cites and Li, W.-J.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Li, W.-J

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:53.085233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:42.785622Z digest=sha256:5b5a5f49f26d1942c499dd38e3b1dac462fdfcb5e280c3ad0204643a64b3d0e3

Observation 3fa5e440-f11c-4df2-9174-ffd1a9ab7dfb · outbound

This paper cites Self-improving reactive agents based on reinforcement learning, planning and teaching.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Self-improving reactive agents based on reinforcement learning, planning and teaching

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:42.881954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.881954Z digest=sha256:5c6a8bcccbd165e9a4dfe65e4de8894b180c13ca059d8352a77ee691c1a3094c

Observation ac11b81d-8915-4b14-9258-15740b9f0f7e · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:42.961747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:42.961747Z digest=sha256:42ba7cd3424396171215fe297bf18fea8454b50d05844e1468be7f07c6c9cbba

Observation 0a82ca7e-35c0-4a84-a926-2a98eed147c9 · outbound

This paper cites More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.964497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.074003Z digest=sha256:2bc1c4f83120d66db759f02b07e7986fe94dc3f5c7cdbe469dab91b24b5188a5

Observation 082df5d2-51af-41ef-b255-ef89bc3f67b5 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.867836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.182497Z digest=sha256:de96f1c88e263e36884d9715024d76886ab59e1340e49aba7924d446c4695cec

Observation 616762bb-70e0-4156-b0aa-7b49076bca47 · outbound

This paper cites and Lazebnik, S.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Lazebnik, S

Reference 57

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unresolved
no resolver link, observed 2026-08-07T13:26:43.292765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:43.292765Z digest=sha256:a05969e46b7b49e5947d698b7ff03f2793b1eb9886561a0df7fef3238b1bff48

Observation 1f9fe136-b148-4cd5-8db5-a73ad0989147 · outbound

This paper cites W., Abdellah, M., Sanchez, C.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates W., Abdellah, M., Sanchez, C

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.755178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.411072Z digest=sha256:cfa9eaf8386a8c7a79c5f353623950fc7cffbb7bf0557a087d42d53a92dcf2f7

Observation 391b6c6a-7871-4554-833a-47efe1aa8f90 · outbound

This paper cites D., and Van De Weijer, J.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates D., and Van De Weijer, J

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.615921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.493700Z digest=sha256:358f89e020ef33500f55636e6d8f026c71d4cc44d3f6cba0a2f28fae070eac99

Observation a5f1ee6a-b163-417c-b7f0-110f3a96a44e · outbound

This paper cites L., McNaughton, B.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates L., McNaughton, B

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.540904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.608262Z digest=sha256:204a28b2972858509b24dc6d81687a55a18d382fbbab798ce5e9b8b380f07b53

Observation c0eaeb4a-86f9-41ee-8b79-ec7e64ee00c1 · outbound

This paper cites and Cohen, N.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Cohen, N

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:43.733642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:43.733642Z digest=sha256:0517fab56003fd84702a070f0f2615b7ced778a4574cd171b1c2edb3473d2c5b

Observation 6ddd2d42-0a16-433b-9ac8-d888c2550ea4 · outbound

This paper cites The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:43.865396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:43.865396Z digest=sha256:868b48822b3af33428bb18a56628f653bd0023c0633d06478d690eb2a380a520

Observation e8e7b678-542c-4f90-93a5-6ed472bc61e8 · outbound

This paper cites I., Chaudhry, A., Yin, D., Hu, H., Pascanu, R., Gorur, D., and Farajtabar, M.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates I., Chaudhry, A., Yin, D., Hu, H., Pascanu, R., Gorur, D., and Farajtabar, M

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.426207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:43.994383Z digest=sha256:c2bd6e79ea4d71a106126aad6bd74ece74049707066e57ea095ac87fc3329eca

Observation b363b435-95c0-4dbb-8e00-80104dd9cdf2 · outbound

This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:44.064262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:44.064262Z digest=sha256:8d82690499bb0e19e5501188a8ed958d510ec20f40a32757d155003133b66a23

Observation 5c429746-be49-474a-8ad7-4a5400853b85 · outbound

This paper cites I., Kemker, R., Part, J.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates I., Kemker, R., Part, J

Reference 65

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unresolved
no resolver link, observed 2026-08-07T13:26:44.179208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:44.179208Z digest=sha256:503671b9c4dd8e64cb9d848612d2f0cdd97d0980ae4d69e4584c87e71f38484f

Observation 8db2d0bb-16ed-46b4-9498-6c778fd5221b · outbound

This paper cites an unresolved cited work.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:26:52.302005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.290320Z digest=sha256:ee48f027a1f298b843588652ec393bbda547dab2f6627e9f415fd27dc4ed7e6c

Observation 7195dc59-2627-4fc5-ae90-4c3d3897b7e5 · outbound

This paper cites Fetril: Feature translation for exemplar-free class-incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Fetril: Feature translation for exemplar-free class-incremental learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.192644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.391985Z digest=sha256:c35050c3abf8aa16c1d2b4900866a51d1d9f7ee7364b712632f72482f1dc0568

Observation fe30b154-f1e9-4f82-805a-1a978d19587b · outbound

This paper cites Dualnet: Continual learning, fast and slow.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Dualnet: Continual learning, fast and slow

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:52.103538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.514440Z digest=sha256:dde8801d910c0b37329f25c753e5983c05329e7a4a5ea5526f00002811d152c9

Observation fa60db0e-eb03-4346-a341-357166ff2c2e · outbound

This paper cites Continual normalization: Rethinking batch normalization for online continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Continual normalization: Rethinking batch normalization for online continual learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.971878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.618299Z digest=sha256:9019c32e221487b0c728aba0e4a2fd54a20d2c2233ed78ddf5879ae38dfe3643

Observation 6745cb12-2097-48b9-83be-9126d784834b · outbound

This paper cites Connectionist models of recognition memory: constraints imposed by learning and forgetting functions.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Connectionist models of recognition memory: constraints imposed by learning and forgetting functions

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.712746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.705888Z digest=sha256:23ce144813b8c09caa04184b5522b84d08dd3409910615d3178273f4c3098619

Observation fbbbc1db-feba-4da1-9ce3-c7b6d2c2706d · outbound

This paper cites Online structured laplace approximations for overcoming catastrophic forgetting.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Online structured laplace approximations for overcoming catastrophic forgetting

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.552715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:44.818938Z digest=sha256:dabf78755d35fee87c6f8df7cd3e00e0fbf14f06d86e35f33767af6b5f5b1b2a

Observation ea365bd2-c7aa-405b-9227-badbe0543df2 · outbound

This paper cites Progressive Neural Networks.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Progressive Neural Networks

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:44.888043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:44.888043Z digest=sha256:a75d9079acbde4b338ee3ab4a1381c37fbda815443c0d0c4bdb739dca62b561e

Observation c356b2fc-de1b-4f2a-8785-c3f1b68cf541 · outbound

This paper cites Gradient Projection Memory for Continual Learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Gradient Projection Memory for Continual Learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:44.995114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:44.995114Z digest=sha256:8383456cf2a855d4fd851ee07155df717e36e65f9558909e5a2cd33656e6bd37

Observation a51bbaf6-254a-4347-a686-b1bf11014039 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:45.112199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:45.112199Z digest=sha256:237086d17ed815d311ce32f313277d150c2339149a8f4552adf2459f865d17b1

Observation 40238de3-decc-4593-8db3-6be116af83c5 · outbound

This paper cites Synergy between synaptic consolidation and experience replay for general continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Synergy between synaptic consolidation and experience replay for general continual learning

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.357338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.197260Z digest=sha256:a22b1d1513ae5ac0b375e24181484be1dd9fe4589718abaa3f4b62226d8e7654

Observation efed47ee-cc55-4d25-b8b2-bdb79326166e · outbound

This paper cites Sparse Coding in a Dual Memory System for Lifelong Learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Sparse Coding in a Dual Memory System for Lifelong Learning

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:26:48.321877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.272778Z digest=sha256:cc5050ab4b32c77c12d69bde1e5d0b24fb6560a850daebdb74733c7472ea9268

Observation 5fb61fe4-958a-4243-910f-2ca6c267822f · outbound

This paper cites and Ye, M.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates and Ye, M

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.245880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.353805Z digest=sha256:e914084230fc8642ea485a4aa96c941c887b849d2f3596c147194ccfd10f9f7c

Observation 3cf2989d-3410-4247-b235-c647ebf01189 · outbound

This paper cites Rigid-Motion Scattering for Texture Classification.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Rigid-Motion Scattering for Texture Classification

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:45.446733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:45.446733Z digest=sha256:07565e83bd046e6f2e6abf071315274726081ed17e9576278a0b68852c728b7d

Observation 26c249ff-4076-4d7f-a980-9ed0c53f8f39 · outbound

This paper cites S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:45.522461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:45.522461Z digest=sha256:f289755d780c77b76d7f313b5a079d49749481b6092f33cc49db33ce2142a589

Observation d3599bdc-1459-40db-8f7f-0c295124970d · outbound

This paper cites Decoupling learning and remembering: A bilevel memory framework with knowledge projection for task-incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Decoupling learning and remembering: A bilevel memory framework with knowledge projection for task-incremental learning

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:51.074122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.574284Z digest=sha256:f494e8f607b2547c6aa1859b20ff6f11997ec52ed553b4a6e646863f88a51beb

Observation aa8631d2-aef5-4b24-9d6d-0c4b8fca2316 · outbound

This paper cites Going Deeper With Convolutions.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Going Deeper With Convolutions

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.934597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.665052Z digest=sha256:f86f6c2aee46bbc760f18cc61a67894df41a583bdfb07edb9b61f21350487cdb

Observation e83cac7a-375e-40bb-ab75-4b12a7edaca3 · outbound

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

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Gcr: Gradient coreset based replay buffer selection for continual learning

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.827198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.773015Z digest=sha256:8e2c60e202769044dc9a06bccfb320b3b1324301776fb18a93e3208d43f2a8cf

Observation 10c52159-82fe-4923-9b2e-c7960eb62e1c · outbound

This paper cites TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:26:48.036460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:45.867777Z digest=sha256:49d9dce8c837cc835e6f153e69a8cea893ddc9a7ff9fccb27f90b6643ceea915

Observation 3ce476bf-331d-4483-98d5-c0e46d9248c5 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:45.961443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:45.961443Z digest=sha256:8c1acb513ba4bf64fda567e0a07bf624608bfad1b132f73dcd8d18c7869b86d3

Observation d9bf39cf-3110-46bd-9036-8202239da17d · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:46.059336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:46.059336Z digest=sha256:112f50107dbc472c49cb37cc11f1cfb0b892edab71a9e814a5a02ebd2b3e6bf8

Observation cc8898a7-942b-4092-b23f-9f838ac89ffd · outbound

This paper cites Sparcl: Sparse continual learning on the edge.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Sparcl: Sparse continual learning on the edge

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.685070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.157118Z digest=sha256:804cf6c04cd18fe4e0499f035aa80c6e7f1abaf56ad937440b34ae46323bc737

Observation 8860d162-9fa2-422e-8f6a-c5cad4b504a3 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.634927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.246005Z digest=sha256:31048275f09e4501be85960bee40676d05aa9991d944a40d5dee4c1896f30b71

Observation d11f0913-7c2f-4a75-8094-d9bb47a45bbe · outbound

This paper cites Learning to prompt for continual learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Learning to prompt for continual learning

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.560860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.361058Z digest=sha256:ef67e8c55426fc6280c4203732f24a8a4080e3cd1d6ce5fbeab03cbaf3158318

Observation c458de70-2597-487e-9c80-5f0eb2e159af · outbound

This paper cites Large scale incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Large scale incremental learning

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.461035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.449168Z digest=sha256:598b133ae668f55eb3eab3c56b8ab52bb75b4d59fc07a4a66cd4446704abed59

Observation 8fce7c73-173b-4d13-bcbe-e44c24d231b6 · outbound

This paper cites an unresolved cited work.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:26:50.380173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.526742Z digest=sha256:8d1fcebfdf80b0935fe14f3fb525973012ed5e3f999dff4bf3d322d5dd665a67

Observation a6212eb3-a10b-4c98-aded-82a0392901d6 · outbound

This paper cites Semantic drift compensation for class-incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Semantic drift compensation for class-incremental learning

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:46.593562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:46.593562Z digest=sha256:062f613254d3db3cc47004f0693acb753d5e58d6f7cb637ceb93cde52305307f

Observation a532a729-909b-4fa6-9f7b-7c43ce4dcabf · outbound

This paper cites B., Ravfogel, S., and Goldberg, Y.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates B., Ravfogel, S., and Goldberg, Y

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:46.665663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:46.665663Z digest=sha256:ce89df1b6d04b14c8d00ff7bfe389a1f74478354fc2871480067d4338e3ba09e

Observation 5fbe6535-ccb9-4ff9-a0a1-b6f10fd9b0d2 · outbound

This paper cites Continual learning through synaptic intelligence.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Continual learning through synaptic intelligence

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.306457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.750564Z digest=sha256:837303fcc6447d7c8ebd6ade28c494f56513705e284355da41eeab217f4151ab

Observation b6b68e0d-761b-45e0-b358-327780ff2a9f · outbound

This paper cites Fine-grained knowledge selection and restoration for non-exemplar class incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Fine-grained knowledge selection and restoration for non-exemplar class incremental learning

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.233457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.859690Z digest=sha256:7b13f900a199db4dc710cbc03414398a936faa0b725c5402ca8ea965c8104ee2

Observation 495703ac-7d18-4461-8ef0-08324f0eaf6f · outbound

This paper cites Maintaining discrimination and fairness in class incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Maintaining discrimination and fairness in class incremental learning

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.156235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:46.927837Z digest=sha256:446cda9cd0fcf616069ada4c646f03785e883b0858010823d19a83d6ac2dfa66

Observation 6b7fea03-5566-459e-bedc-7beadaa0f58c · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:50.062275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:47.007108Z digest=sha256:4594eee7e69dfe305d333ac6819c992e87a851a3b3e243f5dad08f15a4e77953

Observation de21e8e0-135d-4c01-96af-1e364c126a10 · outbound

This paper cites Class-incremental learning via dual augmentation.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Class-incremental learning via dual augmentation

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:49.954797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:47.109121Z digest=sha256:1425f8571368cc5575a2f5a7029ec7b4e5109e57bd6afcd16f943fc12b536825

Observation 2d21ff69-2036-4eee-801d-cbc9fa2c8f62 · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Prototype augmentation and self-supervision for incremental learning

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:49.869526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:47.160677Z digest=sha256:1d657185cf1220599707c30e8714498a8b0de292ae80b018866a5523594edbf9

Observation 61970400-ee3a-4b71-8481-55c4dc7b8a55 · outbound

This paper cites Self-sustaining representation expansion for non-exemplar class-incremental learning.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Self-sustaining representation expansion for non-exemplar class-incremental learning

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:49.801921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:26:47.228843Z digest=sha256:0e506b44ff88cafafd2c4051cedddb9337f3625777e7f50a3dd76aeb605b744d

Pith citing papers

No inbound Pith citation observations are available.