Paper Citation Record · LEDGER

Disentangling the Causes of Plasticity Loss in Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.18762.

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

pith.paper-citation-record.v1
2402.18762 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:13:08.191780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.855402Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 925795c7-c2d6-4e61-b475-1305002b8f4d · inbound

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

Plasticity Loss in Deep Reinforcement Learning: A Survey Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.107749Z

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.

Observation d5a79819-a857-405e-9ff8-3747ae614d44 · inbound

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

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:25.099245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b294bd34-7aae-43f8-bf3d-a6a08fc3cd21 · inbound

Optimistic critics can empower small actors cites this paper.

Optimistic critics can empower small actors Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.870576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46488777-acd7-4786-b1f6-8d2f68398b3d · inbound

Continual Hyperbolic Learning of Instances and Classes cites this paper.

Continual Hyperbolic Learning of Instances and Classes Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.704650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9958c35-f0b1-42f1-bde1-99a630a28689 · inbound

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

Activation Function Design Sustains Plasticity in Continual Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:01:23.626720Z

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.

Observation 83afc0f5-0df4-4de7-94e4-d1f29d0d0818 · inbound

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks cites this paper.

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:55:58.923529Z

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.

Observation a1b45868-9c7e-4964-b028-b0e97e7bf388 · inbound

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

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:05:08.914563Z

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.

Observation 948b4b50-7dc9-43fe-bf9b-92faa0b105ae · inbound

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

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 20

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 695efe62-45fd-49a2-aec1-f26dada64f92 · inbound

Task Switching Without Forgetting via Proximal Decoupling cites this paper.

Task Switching Without Forgetting via Proximal Decoupling Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:19.494778Z

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.

Observation bae85884-40c7-4abd-887e-0f024ab0b527 · inbound

Understanding Goal Generalisation in Sequential Reinforcement Learning cites this paper.

Understanding Goal Generalisation in Sequential Reinforcement Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:50:20.846994Z

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.

Observation c42167e5-ceea-42f3-b0ad-7d1c0b0e49d5 · inbound

Balancing Plasticity and Stability with Fast and Slow Successor Features cites this paper.

Balancing Plasticity and Stability with Fast and Slow Successor Features Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.782464Z

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.

Observation ee90c3ec-4906-480e-b172-9f9beb14ba2a · inbound

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions cites this paper.

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:36:26.581580Z

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.

Observation 634cf16d-4ad7-4654-be35-9b0f21346a29 · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:06:55.393335Z

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.

Observation 2ea41bf4-ab4d-4ab2-a8ab-d78339aef7c5 · inbound

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

Preserving Plasticity in Continual Learning via Dynamical Isometry Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:07:28.521057Z

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.

Observation 677c4efa-35c2-47a9-92e9-d632ae6a0602 · inbound

Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors cites this paper.

Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.856887Z

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.

Observation 154f2e79-16ea-461f-90bd-cd336f3b4126 · inbound

An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon? cites this paper.

An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon? Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T00:42:24.432562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5d458b-1063-4dcb-bccc-c51a77e9e722 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T08:32:00.174220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7801f14a-a097-4550-beae-e5e76df0819f · inbound

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

Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-31T04:05:50.141577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeff1e47-3a8e-4968-95ac-79bd289e30e5 · inbound

NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning cites this paper.

NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T19:13:08.191780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.