Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.13202.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.436794Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0b6f1fb8-edd6-45ac-a225-36f1ec6a9f0b · inbound
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning cites this paper.
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T21:04:41.874277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed15d962-1bf9-4368-b9e8-418e0886f491 · inbound
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 281
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:12:31.180693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a36c3d67-9610-49f4-8e4f-4fd5afe62610 · inbound
Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.
Disentangling Exploration of Large Language Models by Optimal Exploitation MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:58.436794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21d1212b-e624-4f07-9804-cbf5cdfcecbe · inbound
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:49:37.891940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9b502f1-727f-47d1-8573-73b9e94a1a44 · inbound
AutoMem: Automated Learning of Memory as a Cognitive Skill cites this paper.
AutoMem: Automated Learning of Memory as a Cognitive Skill MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:16:56.504026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.