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 4 inbound Pith citation observations for arXiv:2109.13202.

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

pith.paper-citation-record.v1
2109.13202 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:49:37.891940Z

measured 1 of 1 external citation measurements

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 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.