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Paper Citation Record · LEDGER

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.01118.

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

pith.paper-citation-record.v1
1803.01118 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:00.920346Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T03:52:22.088396Z

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 12fdeac5-da9e-487d-bece-b8d746122f82 · inbound

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data cites this paper.

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Some Considerations on Learning to Explore via Meta-Reinforcement Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:00.920346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:00.920346Z digest=sha256:8b43c852ffcffe7efb4c087e0fc97c4f13a60e62a6e71e35b7c1ab7d84cd804c

Observation af30b647-ebfa-420a-b277-0d4aa95a1469 · inbound

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning cites this paper.

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning Some Considerations on Learning to Explore via Meta-Reinforcement Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:52:22.090509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T03:51:46.824517Z digest=sha256:c1c8287370d2eb919177264668b0aaeaae3ea04a161dbb94b55f0500eccf422d