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Paper Citation Record · LEDGER

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08632.

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

pith.paper-citation-record.v1
2401.08632 v2

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 2026-08-09T22:47:04.328404Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:02:49.322299Z

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 2468b70f-aeeb-49d2-a685-896d4201c08d · inbound

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations cites this paper.

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T22:47:04.328404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:47:04.328404Z digest=sha256:eb770d99867176eef09cd6650ba02d7187868c0df3d350c861ca6daa1b80ba6b

Observation d79e5d90-ba63-45d7-b6f7-7a3f7a32103a · inbound

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains cites this paper.

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:02:49.327166Z

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=2026-08-08T15:02:48.988576Z digest=sha256:544cf2444a215e7d3b35b8e1c892ef02d41deae56d608ebaa0c67bb388278549