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Paper Citation Record · LEDGER

Deep Reinforcement Learning with Plasticity Injection

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.15555.

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

pith.paper-citation-record.v1
2305.15555 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:06.008808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:31:08.199803Z

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 f807b444-6cfd-4e13-986d-7a2a7f748f95 · inbound

Parseval Regularization for Continual Reinforcement Learning cites this paper.

Parseval Regularization for Continual Reinforcement Learning Deep Reinforcement Learning with Plasticity Injection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.008808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.008808Z digest=sha256:083de4b8b08addd4c8746b2c6d83e193dc89cb8db5daec54ab6c27ddd31c8b69

Observation 2d82fa3a-2e1b-4bef-99d2-a9fc456a2cb8 · inbound

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps cites this paper.

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Deep Reinforcement Learning with Plasticity Injection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:51:10.260777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:51:10.260777Z digest=sha256:a6b9ce703d830de6490a376597f05e8d5d4aeb684d957785f846d192430a7ed7

Observation ce269abf-50d2-4818-a532-fffc5ed804ab · inbound

SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning cites this paper.

SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning Deep Reinforcement Learning with Plasticity Injection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:21.890658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:24:21.890658Z digest=sha256:c6acb2cc2c09ae30109d248196c820947a3a643c0c184aad32702f4df1585f7f

Observation cace0f27-cf37-4aed-8e64-ca26e1e72b3b · 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 Deep Reinforcement Learning with Plasticity Injection

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:31:08.203321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T20:31:07.842475Z digest=sha256:0582ed40eb22dbe8c8bf67358cc68a5f4a6233985b8aa78fc3ef4ebfdfd1fd82