Paper Citation Record · LEDGER

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2607.21637.

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

pith.paper-citation-record.v1
2607.21637 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:42:35.162952Z

measured 6 of 6 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c64aa4b-d434-4702-8d1b-8daa2112e39c · outbound

This paper cites an unresolved cited work.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:34.359852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c3ceb0-e4df-4750-a759-5934c0016d5d · outbound

This paper cites an unresolved cited work.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:34.518690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7d40c4-5438-430d-b000-d6116a2985c9 · outbound

This paper cites The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:34.657120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fa5ae2-42e0-4099-86fc-4065a88c9505 · outbound

This paper cites an unresolved cited work.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:34.860341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20bf881-6b30-4a7b-b4ee-c31e6bb3f1d8 · outbound

This paper cites Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:35.025479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa1084e6-7dae-455d-a055-f607ef3d2bc5 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:35.162952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.