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Paper Citation Record · LEDGER

Sample Efficient Reinforcement Learning with REINFORCE

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.11364.

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

pith.paper-citation-record.v1
2010.11364 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:45:15.683374Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:29:06.947483Z

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 2e928c6a-be97-47d0-84aa-78389f100064 · inbound

Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates cites this paper.

Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates Sample Efficient Reinforcement Learning with REINFORCE

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:15.683374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:15.683374Z digest=sha256:d0ce8aafde1d282059b7612e50dde2b56d058e3a74a98949630b3973b8ad89af

Observation 3649ef8e-7d34-47fa-97f8-e11134e226e0 · inbound

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization cites this paper.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Sample Efficient Reinforcement Learning with REINFORCE

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:10.646973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:10.646973Z digest=sha256:2cda56d01a24ffa083eda14a44d6a9a768cae582337df983b8c23e63c685f750

Observation ff40f90d-3b2b-4515-8e28-adeb753550ff · inbound

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents cites this paper.

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents Sample Efficient Reinforcement Learning with REINFORCE

Reference 196

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:29:07.046798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:29:06.690547Z digest=sha256:e0dbc0e5c36a48fd6e9eb147d07737ca0812c2e9d7c822618df2b201114d80fc