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Paper Citation Record · LEDGER

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.09284.

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

pith.paper-citation-record.v1
2205.09284 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:43:21.099654Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:39:10.578335Z

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 5b4c231a-6000-40dd-819a-fb084713d80d · inbound

Swarm Behavior Cloning cites this paper.

Swarm Behavior Cloning Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T18:43:21.099654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:43:21.099654Z digest=sha256:52901f7e6f1e520c5f342f793fe67e44970483f5252515d8aa8b268521e0c9a5

Observation 876de244-d1a8-43a5-949e-3d1b876a59b0 · inbound

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T04:39:10.681491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T04:39:09.528457Z digest=sha256:6d41549b4ddeba34f7a9e975dd1b18be5e4f8670c21c243a9f5321e42c2ee0aa