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Paper Citation Record · LEDGER

Towards Continual Reinforcement Learning: A Review and Perspectives

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2012.13490.

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

pith.paper-citation-record.v1
2012.13490 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:32:12.731129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:50:20.637971Z

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 db7a9c77-d3f1-48aa-a59b-6b4fbd59e397 · inbound

Parseval Regularization for Continual Reinforcement Learning cites this paper.

Parseval Regularization for Continual Reinforcement Learning Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:05.963729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:05.963729Z digest=sha256:f0c1d8c1ff895aee663f05e1b10d14219b49970b6cde45eb23a6dfd619389ec8

Observation 75a007d3-514e-428a-be07-d87fc97bcc6f · inbound

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T12:27:14.804991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:14.804991Z digest=sha256:feeda41533229064063c2289db7d80782bd983a9cd4f3c34e870e10438e308f1

Observation e9da31bd-a8e7-4654-80dc-d63a434f2086 · inbound

Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.

Position: Theory of Mind Benchmarks are Broken for Large Language Models Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T00:07:41.256215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:07:41.256215Z digest=sha256:7148080f10eafab43714c972ae7481bc1555b9ab82bbb9c1d47140862beb7cb8

Observation fd79e228-583a-429e-8fd2-34905f08bf13 · inbound

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? cites this paper.

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:43.938778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:43.938778Z digest=sha256:1da151956ed7d89e9d3c43b4e52b89f3ad31b80ff09f2e299360cddaaba70657

Observation 48c589a1-7d2e-4325-b00e-4878fab141bf · inbound

Uncertainty Prioritized Experience Replay cites this paper.

Uncertainty Prioritized Experience Replay Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:59:08.782236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:08.782236Z digest=sha256:6366925d0e34b9c930b0740feafc9c161aa4396004a98586241a49514716e13b

Observation deb8b41d-badc-49a6-bca1-64bc014b8cf4 · inbound

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning cites this paper.

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T16:32:12.731129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:32:12.731129Z digest=sha256:2256291c0a78524b420dab28e28dc97313a8f6e1bcd14d5113807d7e113a7ede

Observation 4970b4da-90fe-4018-a8c5-bf3960395bfc · inbound

Understanding Goal Generalisation in Sequential Reinforcement Learning cites this paper.

Understanding Goal Generalisation in Sequential Reinforcement Learning Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:50:20.643201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-25T04:49:50.034743Z digest=sha256:73d076d8a11ca739ce38efc19f79f976e7ef02efd0ca9617d8690f2638c1e88e