Paper Citation Record · LEDGER

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2106.14876.

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

pith.paper-citation-record.v1
2106.14876 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:44:06.277602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:35:47.394716Z

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 de8d4432-32a7-4a81-ad4a-1b19602ca56c · inbound

Mastering Diverse Domains through World Models cites this paper.

Mastering Diverse Domains through World Models Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:08:22.060352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c569510a-ec6d-4605-a184-b8b422f5b24c · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:11:41.196808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5350c887-0207-49ad-97a1-807fe1f9779f · inbound

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory cites this paper.

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:37:20.913672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 066d1340-9552-4c7f-a500-0e08d3231114 · inbound

Syllabus: Portable Curricula for Reinforcement Learning Agents cites this paper.

Syllabus: Portable Curricula for Reinforcement Learning Agents Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T18:44:06.277602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5422bfd4-e554-4c47-847b-13464b51c3e6 · inbound

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies cites this paper.

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T05:09:29.228691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42dd4e89-4fd9-4957-8acc-8e9b406f8007 · inbound

Training Agents Inside of Scalable World Models cites this paper.

Training Agents Inside of Scalable World Models Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:05:52.491755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b0d94c8-cf25-4658-bd5b-cf555d362751 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 286

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T03:08:59.487253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbd90922-e0ed-4af3-ac53-bafe1cfbd7a3 · inbound

Interestingness as an Inductive Heuristic for Future Compression Progress cites this paper.

Interestingness as an Inductive Heuristic for Future Compression Progress Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:35:47.396407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.