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Paper Citation Record · LEDGER

Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2011.04890.

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

pith.paper-citation-record.v1
2011.04890 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:36:37.287529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:26:35.194889Z

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 8da7abb1-1610-42ae-b0c4-9efca1b3e9f5 · inbound

Dissipation-induced Quantum Homogenization for Temporal Information Processing cites this paper.

Dissipation-induced Quantum Homogenization for Temporal Information Processing Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T16:36:37.287529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:36:37.287529Z digest=sha256:42aed410856d73cc76c449915bb9365b07484f463af47535e287e64c2e4f96bf

Observation 885a7a90-7b9e-43fa-b729-c74b7e895b05 · inbound

Predicting three-dimensional chaotic systems with four qubit quantum systems cites this paper.

Predicting three-dimensional chaotic systems with four qubit quantum systems Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:26.451183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.451183Z digest=sha256:1069aeef0f8aea363cf3b44079519d031d2a708ac24ff1b67a53155b20e25bdd

Observation 66a23492-1ae3-4f96-8fa2-7b88bb8c25ee · inbound

Dynamical learning and quantum memory with non-Hermitian many-body systems cites this paper.

Dynamical learning and quantum memory with non-Hermitian many-body systems Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.436112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:36:38.436112Z digest=sha256:e62d543be892b7e538ddf0dbba39b8a1ec57fbb19ed6eb666321be698eb89475

Observation 202c3062-15a6-46d4-adaa-8296fae1db29 · inbound

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach cites this paper.

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:26:35.199942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T20:26:21.639717Z digest=sha256:8644ea5bb0f9a7c5a606a489d9c3348b3597e07846603b78721f8253c0499574

Observation c5e8648f-8174-4e25-a0da-d55313269734 · inbound

Efficient classical training of model-free quantum photonic reservoir cites this paper.

Efficient classical training of model-free quantum photonic reservoir Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:03.303103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:00:12.133135Z digest=sha256:83d78c179b0d378aa748a12ea9277b48775fb85be4cc2f9b613d0567e2b9b50d

Observation ea9fbf40-eba9-4ea2-9048-d26c245fcfb3 · inbound

A Novel Hybrid Quantum Reservoir Computing (nHQRC) for Phase Transition Detection in Non-Equilibrium Dynamical Systems cites this paper.

A Novel Hybrid Quantum Reservoir Computing (nHQRC) for Phase Transition Detection in Non-Equilibrium Dynamical Systems Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T07:49:42.592642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:49:42.592642Z digest=sha256:9005f7940e97f48f8cbaaa5cd2d2fa09da5f7c54eb0172841af14d20b0729f62