Paper Citation Record · LEDGER

On the role of planning in model-based deep reinforcement learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2011.04021.

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

pith.paper-citation-record.v1
2011.04021 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:07.765568Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.992455Z

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 b235f8dc-118b-4247-878d-df8dc60994be · 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 On the role of planning in model-based deep reinforcement learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:07.765568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1dfd49d-3e45-492d-8fed-bd514783d995 · inbound

Bounding Distributional Shifts in World Modeling through Novelty Detection cites this paper.

Bounding Distributional Shifts in World Modeling through Novelty Detection On the role of planning in model-based deep reinforcement learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T22:58:40.394538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e32da9-dfa3-4e35-8e45-545312fb4b04 · inbound

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning cites this paper.

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning On the role of planning in model-based deep reinforcement learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:09.927407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06f6ef56-7f5c-4095-a07b-72675bfd4dce · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation On the role of planning in model-based deep reinforcement learning

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:21:26.250603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30002609-2fb4-40a8-b118-0acdbe5a7820 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL On the role of planning in model-based deep reinforcement learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.993954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b31e46be-e7d9-40bd-acca-38e514eb0a16 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL On the role of planning in model-based deep reinforcement learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.862751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.