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Paper Citation Record · LEDGER

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.06103.

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

pith.paper-citation-record.v1
2407.06103 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:35.960948Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:47:27.835982Z

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 07a5da2c-7fe7-4b2f-b60f-0d7c7469b628 · inbound

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data cites this paper.

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:35.960948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:35.960948Z digest=sha256:1f0f83785b8c0bdd9822fbfe5f1ad7e57283e193957026814c02649df60c1ef7

Observation afa5e29a-e64e-4631-b0a5-8b54538b0db5 · inbound

Special-Unitary Parameterization for Trainable Variational Quantum Circuits cites this paper.

Special-Unitary Parameterization for Trainable Variational Quantum Circuits QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:33.175449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:33.175449Z digest=sha256:aa62477b3714b50b7f5afb8467126c4a737025209520002ec483742c3bf87c85

Observation a9131588-bb1e-4111-a0db-df40485a0b38 · inbound

QnRL: Quantum-Native Reinforcement Learning cites this paper.

QnRL: Quantum-Native Reinforcement Learning QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:47:27.837246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T19:31:42.400147Z digest=sha256:7c56c10842ecd4cd9c7387914af2a310b05c8360f67f4eccee062e443509961b