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Paper Citation Record · LEDGER

Asynchronous training of quantum 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:2301.05096.

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

pith.paper-citation-record.v1
2301.05096 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:43:38.724736Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 c10ca877-4af3-48bf-9a74-d28e1ef4a367 · inbound

A Study on Quantum Neural Networks in Healthcare 5.0 cites this paper.

A Study on Quantum Neural Networks in Healthcare 5.0 Asynchronous training of quantum reinforcement learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T23:43:38.724736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:43:38.724736Z digest=sha256:2c0335236d10eb3376a2d50b81c55d1979b98ee853f35e712de67a6855507863

Observation 6d6dc667-f826-4c55-b0fc-ba7fd79ab910 · inbound

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm cites this paper.

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm Asynchronous training of quantum reinforcement learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:05:54.646919Z

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=2026-08-10T19:05:54.463477Z digest=sha256:1ff1d147e7235c56cb77664928526d0f3c86365ad10989d2b04dfafb57e83f48