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Paper Citation Record · LEDGER

Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.07695.

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

pith.paper-citation-record.v1
2302.07695 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:17.208811Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T19:18:52.818585Z

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 b45d5a89-f0e8-47a8-a0c9-41a8f31d7b08 · inbound

Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs cites this paper.

Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:18:52.825722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T19:18:52.636418Z digest=sha256:ef680cba74da0a15c9b8c9e326aa1431d47c16178277591b2b8a9b1565224c79

Observation 519f1fe1-359b-44ff-8814-f972f42a243a · inbound

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization cites this paper.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.208811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.208811Z digest=sha256:df749b14a825ee426cabd79a7761cbb05a6591946459c9b8f69fa189f94b8a11