Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.13521.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:29.047457Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:59:52.768019Z
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 a70aa564-9f6e-42b6-a0d3-2d068aa21d73 · inbound
The impact of intrinsic rewards on exploration in Reinforcement Learning cites this paper.
The impact of intrinsic rewards on exploration in Reinforcement Learning Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:11:48.303724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eba2651a-d5a2-4c6f-9bae-d6a0b32b0f93 · inbound
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story cites this paper.
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:29:29.047457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13c19f21-81fc-400a-9bb1-d9b1102e26b0 · inbound
Solving Zero-Sum Convex Markov Games cites this paper.
Solving Zero-Sum Convex Markov Games Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Reference 130
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:55:55.749776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8a83c5d-8ef7-46cf-ba06-19f3e2408a66 · inbound
From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity cites this paper.
From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:59:52.773497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.