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Paper Citation Record · LEDGER

Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.01653.

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

pith.paper-citation-record.v1
1901.01653 v3

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 2026-08-14T15:21:06.584802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:26:35.217000Z

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 519132eb-5c85-4106-9fc3-c2d82fa7b58f · inbound

The Capacity of Quantum Neural Networks cites this paper.

The Capacity of Quantum Neural Networks Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T15:21:06.584802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:21:06.584802Z digest=sha256:dbb62b90c950a7e558151a7776e88d1ae66f4149bb136fb029287cea37f2acca

Observation 3b4abd66-e7f8-421e-852c-a492179d82ff · 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 Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:26:35.221112Z

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=2026-05-15T20:26:21.639717Z digest=sha256:d1a8d181d7ac7adac10c3d74a3486bba592a1e49364484628ce4698aaee99f8d