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Paper Citation Record · LEDGER

To Retain or to Adapt? Generalizing Continual Learning

As of 9 August 2026, this Paper Citation Record lists 100 of 130 outbound references and 0 inbound Pith citation observations for arXiv:2607.05609.

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

pith.paper-citation-record.v1
2607.05609 v1

Coverage vector

measured 100 of 130 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T05:02:16.134830Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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

Source: cited_works

Reference resolution

100 of 130 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b43b25c0-7b9d-410d-9541-acc68a1a64ef · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

To Retain or to Adapt? Generalizing Continual Learning Journal of Artificial Intelligence Research , volume=

Reference 1

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Observation 6a7ebd10-7a4c-45b1-ae99-8393003fafca · outbound

This paper cites International Conference on Machine Learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Machine Learning , pages=

Reference 2

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Observation 9be6f7c5-e141-437e-bb75-ff2ba076c781 · outbound

This paper cites Machine learning , volume=.

To Retain or to Adapt? Generalizing Continual Learning Machine learning , volume=

Reference 3

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Observation 30b398d0-cbe5-46ed-9c53-40a1b3aef8b0 · outbound

This paper cites International Conference on Machine Learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Machine Learning , pages=

Reference 4

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Observation 794aee82-bc93-4196-a3cd-188034ab4b85 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 5

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Observation 84ef4153-1c17-4bd0-9afa-e54dd503ca06 · outbound

This paper cites International conference on machine learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning International conference on machine learning , pages=

Reference 6

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Observation 6b4c57a3-98ba-45d6-895c-eebcd7d0623c · outbound

This paper cites Advances in neural information processing systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in neural information processing systems , volume=

Reference 7

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Observation 401dc61b-4a88-4263-b574-77a930798aac · outbound

This paper cites 2020 , school=.

To Retain or to Adapt? Generalizing Continual Learning 2020 , school=

Reference 8

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Observation e1a970ce-1b29-4c2c-b294-03d127003088 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Learning Representations (ICLR) , year=

Reference 9

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Observation bffe1a11-61e2-408a-aa2b-7d9b9ab3a7e6 · outbound

This paper cites On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective.

To Retain or to Adapt? Generalizing Continual Learning On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective

Reference 10

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Observation caad5d1c-8455-47b6-bf3b-e7f0791eded0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 11

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Observation 9b531889-db5b-40e7-8f4c-c15a09a01292 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation 942b7195-4ae9-4c7a-91d1-28b00ac8a55e · outbound

This paper cites 1994 , school =.

To Retain or to Adapt? Generalizing Continual Learning 1994 , school =

Reference 13

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Observation e2cab784-30d1-43f6-a5b4-d36c376d7ff5 · outbound

This paper cites The biology and technology of intelligent autonomous agents , pages=.

To Retain or to Adapt? Generalizing Continual Learning The biology and technology of intelligent autonomous agents , pages=

Reference 14

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Observation 16519ee4-fcad-48a7-80cf-b6eff8596978 · outbound

This paper cites Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.

To Retain or to Adapt? Generalizing Continual Learning Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges

Reference 15

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Observation fb9f902a-c0e3-4b49-9143-33af76358ab5 · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks , url =.

To Retain or to Adapt? Generalizing Continual Learning Neural Tangent Kernel: Convergence and Generalization in Neural Networks , url =

Reference 16

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Observation 8f1ba752-6da9-45c9-a6b2-9f87c6a4fbda · outbound

This paper cites International Conference on Machine Learning , pages =.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Machine Learning , pages =

Reference 17

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Observation c909fabf-d480-448b-8339-57f37d42c6a5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume =

Reference 18

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Observation de96dc08-6075-4230-ab86-8344aa551dc6 · outbound

This paper cites ArXiv , year=.

To Retain or to Adapt? Generalizing Continual Learning ArXiv , year=

Reference 19

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Observation 0806fdc8-67bc-46f6-a561-ddfdc3516940 · outbound

This paper cites ArXiv , year=.

To Retain or to Adapt? Generalizing Continual Learning ArXiv , year=

Reference 20

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Observation cdb4c7ac-5f72-4d9e-baf1-07705bc9f2b5 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

To Retain or to Adapt? Generalizing Continual Learning IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 21

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Observation 765e36b2-743b-476c-8660-2336afcaa30b · outbound

This paper cites ArXiv , year=.

To Retain or to Adapt? Generalizing Continual Learning ArXiv , year=

Reference 22

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Observation ad4df18f-9846-4db2-8c2f-4cb295f333a8 · outbound

This paper cites Neural networks , volume=.

To Retain or to Adapt? Generalizing Continual Learning Neural networks , volume=

Reference 23

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Observation 5878ae1c-da3b-4c7d-8d91-83866a1df395 · outbound

This paper cites International Conference on Learning Representations , year=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Learning Representations , year=

Reference 24

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Observation 83397d0c-1ead-4ff8-a1a2-884c8279c93b · outbound

This paper cites Machine learning , volume=.

To Retain or to Adapt? Generalizing Continual Learning Machine learning , volume=

Reference 25

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Observation 05e3e472-1e4a-4bfb-9368-1bb98f7b543f · outbound

This paper cites Sequential Learning Of Neural Networks for Prequential MDL.

To Retain or to Adapt? Generalizing Continual Learning Sequential Learning Of Neural Networks for Prequential MDL

Reference 26

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Observation 7b5b260b-05e4-44f6-8503-a3b0a8d06840 · outbound

This paper cites Foundations and Trends.

To Retain or to Adapt? Generalizing Continual Learning Foundations and Trends

Reference 27

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Observation a97d72d3-4784-49ac-ac74-8f7534504f14 · outbound

This paper cites Foundations and Trends.

To Retain or to Adapt? Generalizing Continual Learning Foundations and Trends

Reference 28

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Observation 5ada8c34-4ecd-48b7-b940-49c21b314b12 · outbound

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To Retain or to Adapt? Generalizing Continual Learning Advances in minimum description length: Theory and applications , volume=

Reference 29

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Observation d2f4c873-5173-40e1-a72e-6093a9378a29 · outbound

This paper cites Measures of Complexity: Festschrift for Alexey Chervonenkis , pages=.

To Retain or to Adapt? Generalizing Continual Learning Measures of Complexity: Festschrift for Alexey Chervonenkis , pages=

Reference 30

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Observation de8ccf77-037a-4558-b481-fcc1f912d7aa · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 31

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Observation 9903b543-f5ab-483d-aeb1-6b1e0f1e8c2d · outbound

This paper cites International Conference on Machine Learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Machine Learning , pages=

Reference 32

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Observation 1732e821-3bc1-4e36-8288-1c97b6118278 · outbound

This paper cites Advances in neural information processing systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in neural information processing systems , volume=

Reference 33

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Observation bb2ac333-6353-48d6-8bf5-09ae74043d0a · outbound

This paper cites Foundations and Trends in Machine Learning , volume=.

To Retain or to Adapt? Generalizing Continual Learning Foundations and Trends in Machine Learning , volume=

Reference 34

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Observation 0b849411-6511-4564-9b0c-69c7596d8013 · outbound

This paper cites Proceedings of the 20th international conference on machine learning (icml-03) , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the 20th international conference on machine learning (icml-03) , pages=

Reference 35

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Observation 5ad76317-0083-4c49-964c-0fe1edcb85db · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

To Retain or to Adapt? Generalizing Continual Learning Online Learning: A Modern Introduction Using Convex Optimization

Reference 36

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Observation 135ecdd7-e49c-41d6-99f2-59b8e2324184 · outbound

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To Retain or to Adapt? Generalizing Continual Learning 2004 , publisher=

Reference 37

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Observation 137bc2a2-0b4c-4ea3-94ca-535cdfbffd78 · outbound

This paper cites Advances in neural information processing systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in neural information processing systems , volume=

Reference 38

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Observation b250b77a-b0b7-4eca-9e2e-e54c2275d82a · outbound

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To Retain or to Adapt? Generalizing Continual Learning Neural Networks , volume=

Reference 39

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Observation 83773699-193d-4531-841f-d110e0555375 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , pages =.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the 35th International Conference on Machine Learning , pages =

Reference 40

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:4045ae68a7bd04d479fec135006f8751e50960c51d3badd435a70c66a8336447

Observation fc1652e0-8413-4cc4-a0ed-669fa93b4513 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Artificial Intelligence and Statistics , pages=

Reference 41

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:d04bac31ba3ff91936514466bf14cfe6603f57be8b9e14969590c0adb850d45f

Observation 368e123b-f437-4bb2-a8c2-6e068ddf3d1c · outbound

This paper cites International Conference on Learning Representations , year=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Learning Representations , year=

Reference 42

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:fca2b427ceb7bbb221c4ce7eabcf92b728646bda8d28445ca8c6087a49e435c8

Observation a4693fd7-d526-4429-9848-59c6327469bb · outbound

This paper cites Operations research , volume=.

To Retain or to Adapt? Generalizing Continual Learning Operations research , volume=

Reference 43

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:a1e03302232a06c485ed04def5512a44722562ac6c6a69ad38bee0c36cb6843e

Observation 99a5d01c-a610-4c78-b1b6-84125ccd6861 · outbound

This paper cites Continual Backprop: Stochastic Gradient Descent with Persistent Randomness.

To Retain or to Adapt? Generalizing Continual Learning Continual Backprop: Stochastic Gradient Descent with Persistent Randomness

Reference 44

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no resolver link, observed 2026-07-11T05:02:16.134830Z

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:96a4064fae11dbda6ca1ad3fce3d65a0e794e4d42430b078172269113d791762

Observation 17e44481-ea61-4909-8b07-38fc8bece625 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 45

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:9630bd929ea2c76ea41530e19de3d5c7d722b2faa9672af09ebe5f5f2e290e74

Observation ba618233-a356-470f-9e37-4d8dcb15a4fc · outbound

This paper cites International Conference on Machine Learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Machine Learning , pages=

Reference 46

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:4cac66fa1ad5869195cae3e5c1943968ac0f955e322ad57ca89852ea7ab1b75d

Observation f7b5f07e-b7d2-401a-9561-d56ed6efb605 · outbound

This paper cites Conference on Learning Theory , pages=.

To Retain or to Adapt? Generalizing Continual Learning Conference on Learning Theory , pages=

Reference 47

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:92b2660a4f8597b8c98472bc769f89f38f3c46a5f1f329acece17020e36e6f0a

Observation 251dddaf-27b2-4490-89c3-f135a5769c1e · outbound

This paper cites On Angles between Subspaces of a Finite Dimensional Inner Product Space Per.

To Retain or to Adapt? Generalizing Continual Learning On Angles between Subspaces of a Finite Dimensional Inner Product Space Per

Reference 48

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:c04e0c851c30390ec2df27fff892cc0e91d04e30c0d41b90bd1cedd6f4ed70d4

Observation 71981c87-80aa-43b4-a99d-7177cdaf2f63 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 49

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:9b3c63c4af4f2fdad03a6394441c5703723749e7c9bd4590c2e081d8608d16fd

Observation 5965abe3-cc1d-4da8-94ef-042a1d08a76e · outbound

This paper cites Advances in neural information processing systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in neural information processing systems , volume=

Reference 50

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:9bcaee55924bf581c40d682a34f4c1f774acaa763c66b3b48f71d2cb2bc6b677

Observation ee0f1723-323b-4802-b18a-1204c5fe221f · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 51

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:db83e70203e007a62461c451dbbe419d9f527c52974d6e61bb1b65147ef7621f

Observation 79ca08c3-369d-49b4-874e-47c372de708e · outbound

This paper cites Communications of the ACM , volume=.

To Retain or to Adapt? Generalizing Continual Learning Communications of the ACM , volume=

Reference 52

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:cff9f4eefaa352869d0bac498b235639794e904cc0577f295b97947e4ee695ae

Observation 611e57f6-fab4-442f-9018-8f04795ca6ce · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 53

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:1e4e52ddbee9f66d9efbc0e11bc798978cc57c65c263be8500a5380a40bdf12a

Observation 1a8eb69c-712e-463e-be6d-63c47c6ec8c9 · outbound

This paper cites Advances in neural information processing systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in neural information processing systems , volume=

Reference 54

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:3895328f6e483ce7812cc19a57e7439518bfb0cb36811f66f986ea4881d7d38f

Observation 9d61dc45-977d-40cf-813c-e0fec67d8df8 · outbound

This paper cites Proceedings of the IEEE conference on Computer Vision and Pattern Recognition , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the IEEE conference on Computer Vision and Pattern Recognition , pages=

Reference 55

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:81456150aa880c948df56b716c4ac37f2609b1ab52f53b3f0adb75cf6c280f16

Observation 8f3a3cba-a28d-4758-ade5-2b88ccf19c6e · outbound

This paper cites Conference on Lifelong Learning Agents , pages=.

To Retain or to Adapt? Generalizing Continual Learning Conference on Lifelong Learning Agents , pages=

Reference 56

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:759f9a9daadf10e0583c689dad6d247413d629ef52764d71ab915c117e77692d

Observation 4cdc7646-c4ac-4d7e-8786-81cc8259bd61 · outbound

This paper cites Local vs Global continual learning.

To Retain or to Adapt? Generalizing Continual Learning Local vs Global continual learning

Reference 57

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metadata mismatch
local_arxiv, observed 2026-07-11T05:07:48.452916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:8cd101037f606ef9ff7c1628f30a78d1504ee9badc147df9c430abb8319a29d4

Observation 00a50272-bd0b-4b0c-b44d-8c98ed19e004 · outbound

This paper cites Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint.

To Retain or to Adapt? Generalizing Continual Learning Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint

Reference 58

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metadata mismatch
local_arxiv, observed 2026-07-11T05:07:48.460824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:f7f6a100904b07ec32cd32f5a10b922bbdaa612119cea746c980a3f49b59e516

Observation e2b949af-9898-4e48-a14f-ef8ae7a48c54 · outbound

This paper cites Journal of Numerical Mathematics , volume=.

To Retain or to Adapt? Generalizing Continual Learning Journal of Numerical Mathematics , volume=

Reference 59

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:43a2417f2b5b367c7cd4934411bb1db5caf2be3ba440beb6260bc22a4b22c613

Observation 7646cd30-50d3-4485-b1bb-05b58c6d6a26 · outbound

This paper cites an unresolved cited work.

To Retain or to Adapt? Generalizing Continual Learning Unresolved cited work

Reference 60

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:a127ce2328d2880775ea0c12d8062f31ac58433f42392282a981417b0f7c8313

Observation d0457800-247c-4410-9b47-19bf768eb701 · outbound

This paper cites 1989 , issn =.

To Retain or to Adapt? Generalizing Continual Learning 1989 , issn =

Reference 61

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:efc23a6aba56e82a872c9d3ea7c6895c83ebca4d27667c5eed93cdab022c2b86

Observation 48be2aa4-8a2d-4d6c-b4de-2c8e11678586 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the National Academy of Sciences , volume=

Reference 62

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:3469a55ed4dfe1c908c6a469ee5292addd38115637c5630e746eed3bad503446

Observation 2dba18d3-120e-4a64-a5e6-2df83b81148c · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning (ICML) , volume=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the 34th International Conference on Machine Learning (ICML) , volume=

Reference 63

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ef664aa9dcff333eeae48de5f8ae3304579616c17dea0e948cb46a9dc9740ed6

Observation 29cee94e-7c27-47b1-bcc1-e667f9710157 · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the European Conference on Computer Vision (ECCV) , pages=

Reference 64

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:954654f4e27e01efbe2dd109d184db719509c6546a9703327ed73672b59d4119

Observation c07ec82b-3d12-4b02-a2a6-89e50955a712 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , volume=

Reference 65

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:3e4c0112927a54ba0ef7049b4e23c8750c5e28111bac198c19d7787bd3279ce1

Observation 0ee6455a-95c9-48fc-8c16-02f4a7404981 · outbound

This paper cites Nature , volume=.

To Retain or to Adapt? Generalizing Continual Learning Nature , volume=

Reference 66

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:58ec5aab785f0685fa1b752ad901da92f21b0a293aa44b5835e0807c0a1a9ae3

Observation 9228e6ae-cba2-4fb9-8292-a9c7d4d7efe8 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

To Retain or to Adapt? Generalizing Continual Learning IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 67

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:120aff5de41ba81d0ae5f3219a29976d852a7533cd98f6cdfe8fcc1286dc65b9

Observation 57b528e6-8b85-4c0e-b276-662934629ae6 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 68

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:24f6aa2ccabec1c2af8db6f67c2cab52d2fd2167e41e3f56db37985c285b2d02

Observation 1a382de4-96ba-419f-af24-b10654b61aeb · outbound

This paper cites 2006 , publisher=.

To Retain or to Adapt? Generalizing Continual Learning 2006 , publisher=

Reference 69

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:0569d127300ed68bdbf1ffbecd6367ff60c7380e871d8ab1ab8293c5c84c8bf9

Observation 0be022df-6b1e-479e-acb7-39e3d1555c46 · outbound

This paper cites Proceedings of the eleventh annual conference on Computational learning theory , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the eleventh annual conference on Computational learning theory , pages=

Reference 70

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:b0b2a4e135094373ddf32fa36d2c86f2b222dfe56bd103012ae45e6918d086a1

Observation 2856a19f-ffb1-4e15-aa35-f0b9e7c92415 · outbound

This paper cites Nature Machine Intelligence , volume=.

To Retain or to Adapt? Generalizing Continual Learning Nature Machine Intelligence , volume=

Reference 71

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:7477a2a599d2499322453401a58f59ec6d87f16ddd0eb69e0dbdaf072c6fcfe7

Observation c3df7849-25f0-4141-8fc4-d6fa254cf145 · outbound

This paper cites Is Multi-Task Learning an Upper Bound for Continual Learning? , year=.

To Retain or to Adapt? Generalizing Continual Learning Is Multi-Task Learning an Upper Bound for Continual Learning? , year=

Reference 72

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:453aa4d590e9f629cf5cf62b8bad14119c91cf9b4c2363abf1bbe95fe91031ac

Observation 2cf3baa4-1982-497d-ab19-51a86bedc152 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the 36th International Conference on Machine Learning , pages=

Reference 73

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:e82600631b86e5c12321ff2fd20ac36f9d1fbf5af732865e71f0cbab8201b772

Observation 0c9c48a5-6f5b-4b8a-bf64-2f75a168701e · outbound

This paper cites Trends in Cognitive Sciences , volume=.

To Retain or to Adapt? Generalizing Continual Learning Trends in Cognitive Sciences , volume=

Reference 74

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:a2c0a69e3ba89ffdfc65156344a68ca9d7dc2753e706480bc239eb23ec130b63

Observation 110ccbf9-2bcc-4e76-b73d-1527c00c7217 · outbound

This paper cites Proximal Policy Optimization Algorithms.

To Retain or to Adapt? Generalizing Continual Learning Proximal Policy Optimization Algorithms

Reference 75

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:3568f7e128ea9e0bf294f0e2959ad4c978226d492af1c9a690207708a5c0f612

Observation 20f4bd2d-7005-4fd2-a0f4-8f6d8248873f · outbound

This paper cites Proceedings of the Conference on Robot Learning (CoRL) , pages=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the Conference on Robot Learning (CoRL) , pages=

Reference 76

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:c650d6385ff5d14bb0ca1368961270a1b640dcb8f665146d9b6410c37c483aaa

Observation b8040ba8-c13b-43ce-934d-076382aa0bce · outbound

This paper cites 2018 , eprint=.

To Retain or to Adapt? Generalizing Continual Learning 2018 , eprint=

Reference 77

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:55f45a740f0a9e8746f95b27ceba9150b1c592629c206580d1658838d4e116d0

Observation 7b61f549-7be1-4656-9813-36b1409a4784 · outbound

This paper cites 2013 AAAI spring symposium series , year=.

To Retain or to Adapt? Generalizing Continual Learning 2013 AAAI spring symposium series , year=

Reference 78

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:04314fcc2bd584d2e6e5e31010e2fa88cb7fafa493233f575e0fa73c2fcec4d3

Observation 5e0ef2ec-4140-4bd9-87cd-b9e7fbece3f7 · outbound

This paper cites The Psychology of Learning and Motivation , volume=.

To Retain or to Adapt? Generalizing Continual Learning The Psychology of Learning and Motivation , volume=

Reference 79

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:e9905bae15e71647ee700e7e0af0940d459155a008eeafc641a9478e94147bad

Observation 199a35da-4b6b-4b4c-ab2e-e9d379676c96 · outbound

This paper cites Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021) , year=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021) , year=

Reference 80

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:bfe0f8d6347dc8d9c129ef46d2011d3eca5034c15063e0c36ca0a05c8ff66063

Observation 3e9c20ca-3ea4-4426-b6f9-a103854cfdf5 · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW) , year =.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW) , year =

Reference 81

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:c8b1826ac7443facc667bed17ebbcffb2cb1f5b1701444b086f79eb7f3b7c2d1

Observation f8744ee9-bfa5-44fe-aa81-d927c8b14d80 · outbound

This paper cites Black holes and cryptocurrencies.

To Retain or to Adapt? Generalizing Continual Learning Black holes and cryptocurrencies

Reference 82

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metadata mismatch
local_arxiv, observed 2026-07-11T05:07:48.414662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:0de4b12fe2301d36e0a671f02ac72fd0c8af6c68bbd209857ffd47b7b5280e27

Observation 9fad71ad-70fb-4f81-b6ac-655b7bee78fc · outbound

This paper cites Continuous Learning in Single-Incremental-Task Scenarios.

To Retain or to Adapt? Generalizing Continual Learning Continuous Learning in Single-Incremental-Task Scenarios

Reference 83

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:7adca113211032e1f422c94755c3474f79b230770e72c23fdc5cd83ba2b90334

Observation 6436709d-aee1-479e-a87f-7422faf93cb4 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , year=.

To Retain or to Adapt? Generalizing Continual Learning Proceedings of the 34th International Conference on Machine Learning , year=

Reference 84

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:bce5aa2d2cd40cdcb3a9231020b6ef68835a9266d376eb646e9036b118f948a7

Observation 993ef997-b338-4d3c-afe8-70d72ad7e0dd · outbound

This paper cites Progressive Neural Networks.

To Retain or to Adapt? Generalizing Continual Learning Progressive Neural Networks

Reference 85

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:cfb75b3171523cb7e4839f846e903bf8152f1dab056ff4f924d3e6f1c86d05f0

Observation 461298c8-5963-4e88-b0b8-3203f9f5bfcd · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

To Retain or to Adapt? Generalizing Continual Learning International Conference on Artificial Intelligence and Statistics , pages=

Reference 86

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:9cabaa2d87d5ef5c158686456aa6fb40a7ee0c22eab7097a36c568309a734bbb

Observation 1c9e4f50-3ce7-4399-b5bf-accf206934c0 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

To Retain or to Adapt? Generalizing Continual Learning Advances in Neural Information Processing Systems , year=

Reference 87

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ab3a769405073a57f3a1ba6c0fb51db96c94422bbeda923b7ba95a83cdc30be4

Observation 40c6b606-f713-41c7-bc80-52140bd95567 · outbound

This paper cites Connection Science , volume=.

To Retain or to Adapt? Generalizing Continual Learning Connection Science , volume=

Reference 88

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:af43ef8475544ec7caab10dc3d6a21c1e846cabfa1f0e26a5b8408e8f245d568

Observation e55c2c95-2fce-4651-8e26-b03fadfb056f · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

To Retain or to Adapt? Generalizing Continual Learning Fine-Grained Visual Classification of Aircraft

Reference 89

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:66add2216c194edaa637b508ce964ae008b786ac3d4e99c50a9ae05819ba62d9

Observation 7b370022-a181-4702-b0cd-b0b2636c183b · outbound

This paper cites Cimpoi and S.

To Retain or to Adapt? Generalizing Continual Learning Cimpoi and S

Reference 90

Resolution
unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:49831a2f5d18a7c26836ed698ddd8d2050d2b71c67beceaa88a99dde3e0fc6a0

Observation 93ce6ac4-4c74-4805-a412-a6fc25d0afcd · outbound

This paper cites European Conference on Computer Vision , year =.

To Retain or to Adapt? Generalizing Continual Learning European Conference on Computer Vision , year =

Reference 91

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ee439f9a67904fbaa314cd0dcd100e0ad3573fb297e936c92ac1497481927e84

Observation 7b16870e-7933-4e73-ae66-e7be4a948ef1 · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition , pages=.

To Retain or to Adapt? Generalizing Continual Learning IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 92

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ff57a62a11ad265f4cb02fea505a19db184259f5ce9ed08c28fb9386eab976b5

Observation 4ebad76e-ede7-490d-ac44-0e7ea9a0ea35 · outbound

This paper cites 2009 , howpublished=.

To Retain or to Adapt? Generalizing Continual Learning 2009 , howpublished=

Reference 93

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:019e212655e18ec2fa380fa386fbf045c04e5c6558254dbddb8f5bc2dfd19c59

Observation 370c6758-7ce4-4502-982d-c29af89bcc22 · outbound

This paper cites Machine learning , volume=.

To Retain or to Adapt? Generalizing Continual Learning Machine learning , volume=

Reference 94

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no resolver link, observed 2026-07-11T05:02:16.134830Z

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ba8cd02fbe3f1b510a420c738cd8c49c9f8cb5df75ffeecce150837efe49da05

Observation e985d4bd-e2e7-428c-9206-829b886b9b71 · outbound

This paper cites A Deeper Look at Experience Replay.

To Retain or to Adapt? Generalizing Continual Learning A Deeper Look at Experience Replay

Reference 95

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no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:4beb235d0f483b75a7cbf04aaf0e1cf95560c35bb0828f9c6c83b972a8715e70

Observation f1148caf-dcf1-4210-8150-90919a112af1 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

To Retain or to Adapt? Generalizing Continual Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 96

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ea90681dfaa61ed4911df57383b21fb4e16ca071f6cf0c3c98195c032c36db42

Observation a4edcc66-ec4d-4622-8fdb-4ce2464f9478 · outbound

This paper cites 2018 , publisher=.

To Retain or to Adapt? Generalizing Continual Learning 2018 , publisher=

Reference 97

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:fb0d5e62cf2a1cedc7985facb28070c9644301d62711dcc76aed8844c75adf3f

Observation 1e23501e-87a0-4a1b-b72b-850a505236d3 · outbound

This paper cites an unresolved cited work.

To Retain or to Adapt? Generalizing Continual Learning Unresolved cited work

Reference 98

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:ccf0974d4bbf1e30997f22abe672ef53586a0207170dad96b4933ba975747227

Observation bcc05833-42af-4aaa-9fbc-1770ee547ed1 · outbound

This paper cites Continual World: A Robotic Benchmark For Continual Reinforcement Learning.

To Retain or to Adapt? Generalizing Continual Learning Continual World: A Robotic Benchmark For Continual Reinforcement Learning

Reference 99

Resolution
unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:2ca1cce135230665217da1ba8db136db05562bca0467d1c11aff7e3cf5bff7d5

Observation f69c3b96-6571-4e7e-bf8b-3b031f3c2876 · outbound

This paper cites an unresolved cited work.

To Retain or to Adapt? Generalizing Continual Learning Unresolved cited work

Reference 100

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unresolved
no resolver link, observed 2026-07-11T05:02:16.134830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T05:02:16.134830Z digest=sha256:a14eecbaf78df5f213383676c4cd988affff736d5ae4d019c730b9770aa8fe30

Pith citing papers

No inbound Pith citation observations are available.