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Paper Citation Record · LEDGER

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:44:35.741776Z

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 980b3662-c3a0-408f-9ff6-da099c2b223d · inbound

Quantum Kernel-Based Long Short-term Memory cites this paper.

Quantum Kernel-Based Long Short-term Memory QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T16:44:35.741776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:44:35.741776Z digest=sha256:ca9f2cbda252f373d5f58e572ca6d018c6b95944454a9fa04914c633d0998d4b

Observation ab67680c-c046-48af-b6bd-2819727e5b2d · inbound

Programming Variational Quantum Circuits with Quantum-Train Agent cites this paper.

Programming Variational Quantum Circuits with Quantum-Train Agent QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T04:41:24.206264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:41:24.206264Z digest=sha256:9cbf33de66190d534fbf5c323ed76622837ff15203b526b32ca1fe24bce8a170

Observation 3c759ded-5133-469b-91b0-afb2fbef45fd · inbound

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning cites this paper.

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T17:34:30.615950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:34:30.615950Z digest=sha256:bfac4c7ef108343c0a0dbe939a37ff716ae06870f92b2a58a3d95280d57d3324

Observation 7a042276-3e9c-4f4b-a9d8-d3797887d57f · inbound

Transfer Learning Analysis of Variational Quantum Circuits cites this paper.

Transfer Learning Analysis of Variational Quantum Circuits QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:31:17.559587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:31:17.559587Z digest=sha256:6ce284afd8bdb1d480bd9d3fb4ee26d0b2818f6117c86c785cca557f1e349c43

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=sha256:1514aeccf3792e270c2c5e096f6ad822e6c9cc7d2ecc91d3a1fd7255454fa795

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=sha256:85a6ff4da0d1f971c086273fbfe124b2a99cca3e570f17b4f96aa92d1c34433b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T19:31:42.400147Z digest=sha256:bd5882eea9ceed8ba316b561535d394783ef6c524dad44079847cf2821cdfbce