Paper Citation Record · LEDGER

Maintaining Plasticity in Deep Continual Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2306.13812.

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

pith.paper-citation-record.v1
2306.13812 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:16:01.351139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.423429Z

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 b6c0a6d6-0a9d-43e1-9372-e86d0247f9e5 · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Maintaining Plasticity in Deep Continual Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.200332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53867a7a-1d4e-4f45-aff5-9ade45212742 · inbound

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution cites this paper.

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution Maintaining Plasticity in Deep Continual Learning

Reference 318

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:46.454679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e7a93a5-fdc3-40f5-b52c-7a601233e7da · inbound

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning cites this paper.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Maintaining Plasticity in Deep Continual Learning

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:07.245077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e636f14c-50ac-4ca8-8210-c76517af45c3 · inbound

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss cites this paper.

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss Maintaining Plasticity in Deep Continual Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:43:34.345429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a01f296-8cfe-46b0-9a99-17a71a86ff0b · inbound

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change cites this paper.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Maintaining Plasticity in Deep Continual Learning

Reference 213

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:01.351139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5fd2619-5719-453a-b739-20d862b81eea · inbound

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn cites this paper.

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Maintaining Plasticity in Deep Continual Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:24.694086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3d64815-1e32-4bc4-b540-b60984ab1afd · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Maintaining Plasticity in Deep Continual Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:15:49.942327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 950c0a30-5f37-4c3d-93b2-7d24c6e556e3 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Maintaining Plasticity in Deep Continual Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:12:41.327292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 416163b2-32de-4c7f-ac5c-249931f78a06 · inbound

Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization cites this paper.

Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization Maintaining Plasticity in Deep Continual Learning

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:41:07.103838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c23072a6-80f6-4ed1-bc9a-5d83e04cb867 · inbound

Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks cites this paper.

Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks Maintaining Plasticity in Deep Continual Learning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:00:56.877257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 206b76d1-e46d-4497-865a-c005a1821922 · inbound

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective cites this paper.

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective Maintaining Plasticity in Deep Continual Learning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:41:17.743072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8bd0698d-2c4c-4b19-98bd-00c2ebca09a7 · inbound

When is Warmstarting Effective for Scaling Language Models? cites this paper.

When is Warmstarting Effective for Scaling Language Models? Maintaining Plasticity in Deep Continual Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:02:53.011616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6caa0baf-ce82-4f0a-825b-824ab3fd24e5 · inbound

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents cites this paper.

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents Maintaining Plasticity in Deep Continual Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.425227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1338b8b-881d-4944-bd49-7cc6e514922c · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Maintaining Plasticity in Deep Continual Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.469730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.