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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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:26.451183Z

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 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=sha256:30ec70c4e6be33ff6435f23f6366f9384ad1fb489552ca0d422ad7c4c40224fa

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:c4a63ea8123059fa1f09088fd38c1816bc5b1c60a1354afd285b55575bca5f53

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T20:26:21.639717Z digest=sha256:1d6d67f9dd56f4b32b5cf5ef7364c2cd05abda45dcd2dff72d047ac998a9eac8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:00:12.133135Z digest=sha256:0df5e3a838475cefc879ec0a8e33ba6e972d3141045bdceeefe7072ba6610131

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=sha256:384ce84078f1d0ecfac3782f8b4f285d0499292e12013fdf7d3500f0accbf51d