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Paper Citation Record · LEDGER

Effective Diversity in Population Based Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.00632.

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

pith.paper-citation-record.v1
2002.00632 v3

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:45.677640Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:48:46.344554Z

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 33281145-624b-46cb-9100-ce555103683a · inbound

Surrogate Fitness Metrics for Interpretable Reinforcement Learning cites this paper.

Surrogate Fitness Metrics for Interpretable Reinforcement Learning Effective Diversity in Population Based Reinforcement Learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:48:46.440763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:48:45.677640Z digest=sha256:db261767c8559153cb9cb50f0fc4ec36d6bc90d216ff3f6ff2d7462cba1cf154

Observation 45c8a546-a482-43ab-896d-5fceb534c616 · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Effective Diversity in Population Based Reinforcement Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T23:43:05.040160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:43:05.040160Z digest=sha256:1a42a41c2908e0204a774576dac157f9d8bf2ac13d26e0e2b2ce75d95c2cea82