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Paper Citation Record · LEDGER

Quantum Heavy-tailed Bandits

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.09680.

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

pith.paper-citation-record.v1
2301.09680 v1

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:46:18.462321Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:06.456387Z

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 91445b63-2d3b-43f9-9f36-fff9470504b6 · inbound

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach cites this paper.

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach Quantum Heavy-tailed Bandits

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T13:46:18.462321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:46:18.462321Z digest=sha256:b80b91c364a650efed9405c9710237972a0927fc6ad57ac5de161aca4b82b319

Observation a39c9877-be83-43d4-b8b8-527ccd88f3c8 · inbound

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization cites this paper.

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization Quantum Heavy-tailed Bandits

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:57:06.457777Z

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.

source=arxiv_source observed=2026-07-02T15:52:44.237842Z digest=sha256:790af7f9568d6d4b9c49e293f2dc2c8f62d35aef63fdc831bd96fc00549b716a

Observation f581f35d-2f5d-4f54-8023-c78d2692ab55 · inbound

Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise cites this paper.

Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise Quantum Heavy-tailed Bandits

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T02:25:05.569346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:25:05.569346Z digest=sha256:608be89f9a143cf76798b449fd9d8c62b4c42b10c9902b8b4154d5bb90cc6b88