Paper Citation Record · LEDGER

Learning to Forget: Continual Learning with Adaptive Weight Decay

As of 2 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2604.27063.

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

pith.paper-citation-record.v1
2604.27063 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T10:36:32.096050Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:35:59.192049Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

verified exact5
verified fuzzy41
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c3c1824-5c21-4ae4-81ec-0016d4ea9657 · outbound

This paper cites Learning to learn by gradient descent by gradient descent.

Learning to Forget: Continual Learning with Adaptive Weight Decay Learning to learn by gradient descent by gradient descent

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.067066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f764b2c8-294e-4863-b796-724a79947bff · outbound

This paper cites On warm-starting neural network training.

Learning to Forget: Continual Learning with Adaptive Weight Decay On warm-starting neural network training

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.082274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 17ead005-2814-48cf-a619-0994f554d0c7 · outbound

This paper cites o ppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, G \.

Learning to Forget: Continual Learning with Adaptive Weight Decay o ppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, G \

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.906488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation a738f297-53f6-43eb-9289-598fd8d76a53 · outbound

This paper cites Emnist: Extending mnist to handwritten letters.

Learning to Forget: Continual Learning with Adaptive Weight Decay Emnist: Extending mnist to handwritten letters

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.980696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 960571c9-fdf4-4ff9-8814-7cb8836711fd · outbound

This paper cites Step-size Optimization for Continual Learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Step-size Optimization for Continual Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.854064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d081907f-c054-48a8-9962-379eb3691d8d · outbound

This paper cites Loss of plasticity in deep continual learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Loss of plasticity in deep continual learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.910941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 79c327c3-7751-41b2-9d0e-c3a182add742 · outbound

This paper cites Rupam Mahmood.

Learning to Forget: Continual Learning with Adaptive Weight Decay Rupam Mahmood

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.898274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9765521e-8a8f-427d-a4b2-56f39a9d2c5b · outbound

This paper cites Weight Clipping for Deep Continual and Reinforcement Learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Weight Clipping for Deep Continual and Reinforcement Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:31:26.856993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c54262ca-ab9f-409a-8ae9-00587ae27d13 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay Catastrophic forgetting in connectionist networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.902204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 68f93b41-201e-4a28-840a-d237dd51527f · outbound

This paper cites Learning to forget: Continual prediction with LSTM.

Learning to Forget: Continual Learning with Adaptive Weight Decay Learning to forget: Continual prediction with LSTM

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.926459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation cc58d83e-0870-4f7d-b007-197fa15be499 · outbound

This paper cites Improving robustness with adaptive weight decay.

Learning to Forget: Continual Learning with Adaptive Weight Decay Improving robustness with adaptive weight decay

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.956336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b555a8fe-d4f2-484f-b9d9-092643db51b7 · outbound

This paper cites Competitive learning: From interactive activation to adaptive resonance.

Learning to Forget: Continual Learning with Adaptive Weight Decay Competitive learning: From interactive activation to adaptive resonance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.074804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 530626f3-d547-4e46-9655-b008e1d4132e · outbound

This paper cites Comparing biases for minimal network construction with back-propagation.

Learning to Forget: Continual Learning with Adaptive Weight Decay Comparing biases for minimal network construction with back-propagation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.922664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation edb01388-63c8-490c-947a-20814feabf23 · outbound

This paper cites Alphadecay: Module-wise weight decay for heavy-tailed balancing in LLM s.

Learning to Forget: Continual Learning with Adaptive Weight Decay Alphadecay: Module-wise weight decay for heavy-tailed balancing in LLM s

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.914668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 5791c06e-ad8a-41a1-baca-9a6b7652fb7a · outbound

This paper cites Reinitializing weights vs units for maintaining plasticity in neural networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay Reinitializing weights vs units for maintaining plasticity in neural networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.860362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 7f21998c-1166-4d32-9da9-9b9dfc8314fc · outbound

This paper cites Hochreiter and J.

Learning to Forget: Continual Learning with Adaptive Weight Decay Hochreiter and J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.988704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 30f8bd2a-4edc-437a-bdc8-ccd90375edd3 · outbound

This paper cites Learning to learn using gradient descent.

Learning to Forget: Continual Learning with Adaptive Weight Decay Learning to learn using gradient descent

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.032105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0c99f0c7-f6dd-472a-a33a-9263e3e98a3b · outbound

This paper cites Metalearning continual learning algorithms.

Learning to Forget: Continual Learning with Adaptive Weight Decay Metalearning continual learning algorithms

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.971915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f9001e60-b7d2-485d-874b-f1a6bf2a8a27 · outbound

This paper cites Layer-wise weight decay for deep neural networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay Layer-wise weight decay for deep neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.015093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation dad49520-663d-4b67-938b-0103e787a995 · outbound

This paper cites Swifttd: A fast and robust algorithm for temporal difference learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Swifttd: A fast and robust algorithm for temporal difference learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.018343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ac6f027b-a32e-49f9-993c-154acd4b08ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning to Forget: Continual Learning with Adaptive Weight Decay Adam: A Method for Stochastic Optimization

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-12T09:31:26.862999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ba20d61f-87e8-49a0-8a5a-890af36aab26 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay Overcoming catastrophic forgetting in neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.035915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 5a3dc300-ef89-453e-a810-8112f040086f · outbound

This paper cites A simple weight decay can improve generalization.

Learning to Forget: Continual Learning with Adaptive Weight Decay A simple weight decay can improve generalization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.021742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation fcf94196-6ff2-495f-a7c5-c0d0d8d138f0 · outbound

This paper cites Continual learning as computationally constrained reinforcement learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Continual learning as computationally constrained reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.001794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3791ca0f-2bf8-4f2a-a2a1-8ad28e868459 · outbound

This paper cites Maintaining plasticity in continual learning via regenerative regularization.

Learning to Forget: Continual Learning with Adaptive Weight Decay Maintaining plasticity in continual learning via regenerative regularization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.047721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b68e3f62-c710-4c0a-ac3e-162b297eba47 · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:45.992002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 68587637-6995-476f-9df4-a8fe297f8ba2 · outbound

This paper cites Decoupled weight decay regularization.

Learning to Forget: Continual Learning with Adaptive Weight Decay Decoupled weight decay regularization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.976550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation cf1a4350-83c5-4016-976d-0e1283e0e974 · outbound

This paper cites Meta-gradients in non-stationary environments.

Learning to Forget: Continual Learning with Adaptive Weight Decay Meta-gradients in non-stationary environments

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.960030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 7e30fb48-fe0d-47cd-bebf-db40642a79b3 · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:45.944285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 04a87fdd-862a-4287-8b3a-7ab477385acf · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:46.008200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3ce6a942-9b23-43a3-80ba-cb837e8c579e · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

Learning to Forget: Continual Learning with Adaptive Weight Decay Catastrophic interference in connectionist networks: The sequential learning problem

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.043863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 6685dd05-2196-46b8-8fb0-0ef46ce336fa · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:46.024847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 6ea43c46-8388-460e-a4d6-af1faf6e6674 · outbound

This paper cites Adaptive weight decay for deep neural networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay Adaptive weight decay for deep neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.985625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 746fabe3-8f43-4d77-96b8-491b8e659f9b · outbound

This paper cites The primacy bias in deep reinforcement learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay The primacy bias in deep reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.078678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 10e1fb37-2932-4e7a-9140-0ecb1014d657 · outbound

This paper cites Torr, and Puneet K.

Learning to Forget: Continual Learning with Adaptive Weight Decay Torr, and Puneet K

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.998485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation be932b4c-31fc-461f-a063-9d4ab4ed676d · outbound

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

Learning to Forget: Continual Learning with Adaptive Weight Decay Connectionist models of recognition memory: constraints imposed by learning and forgetting functions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.011808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 59c76427-7a86-4ee0-a55c-d250f692eb71 · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:46.027897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d3c7c95a-4035-480d-ba8a-6a8b0cdd93de · outbound

This paper cites u r Informatik, Technische Universit\.

Learning to Forget: Continual Learning with Adaptive Weight Decay u r Informatik, Technische Universit\

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.929771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3173e0e1-742b-477b-a3e1-aacd02e3c056 · outbound

This paper cites Schmidhuber.

Learning to Forget: Continual Learning with Adaptive Weight Decay Schmidhuber

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.071066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b3b587b6-c51f-40e1-b384-95be67e87dfb · outbound

This paper cites Schmidhuber.

Learning to Forget: Continual Learning with Adaptive Weight Decay Schmidhuber

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.995268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 53f9cfba-c804-418b-8e60-11c55a67f0af · outbound

This paper cites Shifting inductive bias with success-story algorithm, adaptive levin search, and incremental self-improvement.

Learning to Forget: Continual Learning with Adaptive Weight Decay Shifting inductive bias with success-story algorithm, adaptive levin search, and incremental self-improvement

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.005189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation e83f2054-8fa2-458a-a072-366e6a97f3c6 · outbound

This paper cites Local gain adaptation in stochastic gradient descent.

Learning to Forget: Continual Learning with Adaptive Weight Decay Local gain adaptation in stochastic gradient descent

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.062823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ff47d8e7-cf68-449c-abfd-94b89af88a74 · outbound

This paper cites Metaoptimize: A framework for optimizing step sizes and other meta-parameters.

Learning to Forget: Continual Learning with Adaptive Weight Decay Metaoptimize: A framework for optimizing step sizes and other meta-parameters

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.964131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b6f407e5-8937-4c7c-8e6a-75d9dba93f63 · outbound

This paper cites Adapting bias by gradient descent: An incremental version of delta-bar-delta.

Learning to Forget: Continual Learning with Adaptive Weight Decay Adapting bias by gradient descent: An incremental version of delta-bar-delta

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.039557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 89d4c289-f9ed-4fa0-8fee-3d8a3dd30ea1 · outbound

This paper cites The unreasonable effectiveness of the forget gate.

Learning to Forget: Continual Learning with Adaptive Weight Decay The unreasonable effectiveness of the forget gate

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.851204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 80da3e50-f688-44fe-901f-cb6950ba8aca · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:45.933343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b128c752-9d28-41f1-8dea-af46ab263a74 · outbound

This paper cites A learning algorithm for continually running fully recurrent neural networks.

Learning to Forget: Continual Learning with Adaptive Weight Decay A learning algorithm for continually running fully recurrent neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.948083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 35fed7bd-8afc-4047-947a-8f0e7d30e8f7 · outbound

This paper cites On the overlooked pitfalls of weight decay and how to mitigate them: A gradient-norm perspective.

Learning to Forget: Continual Learning with Adaptive Weight Decay On the overlooked pitfalls of weight decay and how to mitigate them: A gradient-norm perspective

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.952596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation a77acb58-f246-43d9-aff9-7b07582c61b5 · outbound

This paper cites Meta-gradient reinforcement learning.

Learning to Forget: Continual Learning with Adaptive Weight Decay Meta-gradient reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.054959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 095cca8c-bc63-4b60-8910-4fc5610cb8d6 · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

Learning to Forget: Continual Learning with Adaptive Weight Decay Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:50:25.025022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 58ef0765-814c-47b3-b547-bc5d89a447d0 · outbound

This paper cites A self-tuning actor-critic algorithm.

Learning to Forget: Continual Learning with Adaptive Weight Decay A self-tuning actor-critic algorithm

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.937151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ea5eff56-8696-4c3f-afd3-7f17a5bfc3d3 · outbound

This paper cites write newline.

Learning to Forget: Continual Learning with Adaptive Weight Decay write newline

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:46.059305Z

Source-reported events for the cited work

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This paper cites @esa (Ref.

Learning to Forget: Continual Learning with Adaptive Weight Decay @esa (Ref

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:38:45.918992Z

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Observation ff52c3fe-3fee-4d55-9e56-105007c25012 · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:45.940938Z

Source-reported events for the cited work

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Observation b6444c0c-b85a-4a6c-933a-59ca0cdd1fb4 · outbound

This paper cites an unresolved cited work.

Learning to Forget: Continual Learning with Adaptive Weight Decay Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:38:45.968412Z

Source-reported events for the cited work

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Pith citing papers

Observation fa7d2894-44a9-4820-8818-d850ac034b5b · inbound

Self-Improvements in Modern Agentic Systems: A Survey cites this paper.

Self-Improvements in Modern Agentic Systems: A Survey Learning to Forget: Continual Learning with Adaptive Weight Decay

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.