Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neuroplastic Expansion in Deep Reinforcement Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.07994.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:35.146480Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:30:06.971916Z
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 0fe1748a-cfcb-401a-b9ae-59d21b19a7ac · inbound
Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning cites this paper.
Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning Neuroplastic Expansion in Deep Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:08:35.146480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d32c5df-e889-44bd-8c6f-7f0abf8b5fbc · 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 Neuroplastic Expansion in Deep Reinforcement Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:07.804229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8f7f54c-368a-433f-a96d-98c13061d90b · inbound
A Simple Baseline for Stable and Plastic Neural Networks cites this paper.
A Simple Baseline for Stable and Plastic Neural Networks Neuroplastic Expansion in Deep Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:42:26.794741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 267c5868-d846-4f31-b5f4-d5187e45a199 · inbound
Forager: a lightweight testbed for continual learning with partial observability in RL cites this paper.
Forager: a lightweight testbed for continual learning with partial observability in RL Neuroplastic Expansion in Deep Reinforcement Learning
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:46:53.376780Z
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 c430aed2-42e7-4f88-a007-59cb2fe68240 · inbound
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods cites this paper.
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods Neuroplastic Expansion in Deep Reinforcement Learning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:30:06.974571Z
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.