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Paper Citation Record · LEDGER

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.13795.

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

pith.paper-citation-record.v1
2305.13795 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:06:35.756620Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 bb2e82be-4255-4d4c-b409-7cd9924d7fc4 · inbound

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization cites this paper.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T14:06:35.756620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:06:35.756620Z digest=sha256:d307e141c7d3af66be224cfa42d78e7e5dd341d9361af0661719bb93383604f5