Pith. sign in

Paper Citation Record · LEDGER

Unsupervised Meta-Learning for Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.04640.

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

pith.paper-citation-record.v1
1806.04640 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:25.925948Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:25:20.962450Z

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 af3d3887-7904-428f-b89b-427f0585ad19 · inbound

Solving Rubik's Cube with a Robot Hand cites this paper.

Solving Rubik's Cube with a Robot Hand Unsupervised Meta-Learning for Reinforcement Learning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:38:28.931099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T09:38:28.621842Z digest=sha256:a56da3516a06d6d18ab1814b20d9647d04165b0568c6d0bd9135a3a005ce9665

Observation 6c265e52-6e8a-444b-b598-3837df24152e · inbound

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning cites this paper.

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning Unsupervised Meta-Learning for Reinforcement Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:25:20.965138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:22:25.891899Z digest=sha256:cab0d99ff1c247bfeaf6d7c18df8f982db5e61e459682f615d02371c1358abbb

Observation 5ee39a6f-de9c-45e7-b557-533f155b25a5 · inbound

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs cites this paper.

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Unsupervised Meta-Learning for Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:25.925948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:25.925948Z digest=sha256:5be0e8d6ba4088fc60d91a3bbc8c900c5776f4c3a5902abbb45ee2d75a40c4e2