Paper Citation Record · LEDGER

Maintaining Plasticity in Continual Learning via Regenerative Regularization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2308.11958.

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

pith.paper-citation-record.v1
2308.11958 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:07.781548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.631407Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e7cfef08-df5d-406c-a6cb-6f94a450dca7 · inbound

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control cites this paper.

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:07.781548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4edfe33-53e8-4374-87f7-20dc05562855 · inbound

Recovering Plasticity of Neural Networks via Soft Weight Rescaling cites this paper.

Recovering Plasticity of Neural Networks via Soft Weight Rescaling Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:23.120388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef2994e-e1ef-44d0-bf1b-526390a46469 · inbound

Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning cites this paper.

Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:34.366900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a5a345-7909-4c61-9dc7-80eaa095069a · inbound

Activation Function Design Sustains Plasticity in Continual Learning cites this paper.

Activation Function Design Sustains Plasticity in Continual Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:01:23.588260Z

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.

Observation b3bdfb90-74f9-4db1-921a-cf4c0a189227 · inbound

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity cites this paper.

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:36.731030Z

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.

Observation 6d72d327-113a-4599-9836-5a5cea5e414d · inbound

Weight Decay Improves Language Model Plasticity cites this paper.

Weight Decay Improves Language Model Plasticity Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:37.314940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234a8da6-a606-4937-9911-061f7f370a6d · inbound

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning cites this paper.

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:08.895791Z

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.

Observation a9a1b00e-8830-4d71-965a-fdfd57e64870 · inbound

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning cites this paper.

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T19:46:39.624903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd819cb-3f6b-4c46-b0f2-16dd55de3d39 · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:27:24.390271Z

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.

Observation 541754b5-3304-4103-9017-aa795e9576d3 · inbound

On the Stability of Growth in Structural Plasticity cites this paper.

On the Stability of Growth in Structural Plasticity Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:42:38.715161Z

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.

Observation 9770658a-58dd-4b3f-bf95-ed31ca3ed894 · inbound

On the Stability of Growth in Structural Plasticity cites this paper.

On the Stability of Growth in Structural Plasticity Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:55:03.838165Z

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.

Observation af9ad2d5-c595-4d3d-8363-895d580c5f22 · inbound

Preserving Plasticity in Continual Learning via Dynamical Isometry cites this paper.

Preserving Plasticity in Continual Learning via Dynamical Isometry Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:07:28.534335Z

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.

Observation 8d47aac0-d306-42cc-bb72-8235e788a133 · inbound

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR cites this paper.

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:55.633287Z

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.

Observation b37f0e33-7311-4673-9e7d-032c38a7bda5 · inbound

Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization cites this paper.

Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T05:21:31.649236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4e7ccd-aa41-49b8-8c93-d0697b0e24d7 · inbound

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform cites this paper.

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T18:18:00.204764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b94363-6393-43dc-b041-c0868fd83d9a · inbound

Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning cites this paper.

Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-07-31T04:05:50.132486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.