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Paper Citation Record · LEDGER

Optimizing a quantum reservoir computer for time series prediction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.03947.

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

pith.paper-citation-record.v1
1807.03947 v2

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:21:06.578324Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:21:06.718515Z

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 fc82d046-fb6e-4d3c-942f-243c47beda94 · inbound

The Capacity of Quantum Neural Networks cites this paper.

The Capacity of Quantum Neural Networks Optimizing a quantum reservoir computer for time series prediction

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:21:06.722648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:21:06.578324Z digest=sha256:14e9d5fb03f5697fc5b8c7463236458abf6ff6b037ff6c7561ee81fbb4c3cd6b

Observation 0c031fcf-b6c4-41ab-b0a2-e1a07a934721 · 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 Optimizing a quantum reservoir computer for time series prediction

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T07:49:43.117157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:49:43.117157Z digest=sha256:12028819d7e9c06728d35637e31921918854ad369b1bbf4a7477b069ed3c9e4d