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Paper Citation Record · LEDGER

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.05559.

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

pith.paper-citation-record.v1
2311.05559 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:16:30.010695Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:16:30.099839Z

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 c1fd87a6-e330-44bb-a095-1eaf785d0dc8 · inbound

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models cites this paper.

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T19:24:32.547878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:24:32.547878Z digest=sha256:97172c1b8dcba124791b285e62c42622e3f94297cc4247f70e43a58581d4bc30

Observation 847d15e4-61cd-42e6-bd3a-fc8ddd06f629 · inbound

Classical $\mathrm{SU}(2)$ Models Match or Exceed Shallow Variational Quantum Circuits on Vision Benchmarks cites this paper.

Classical $\mathrm{SU}(2)$ Models Match or Exceed Shallow Variational Quantum Circuits on Vision Benchmarks Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T04:16:30.107303Z

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=2026-08-11T04:16:30.010695Z digest=sha256:951035fb1b8e0aa2923d9373211a5c1f25cab00d207fb843fe4a6c2b13568cb2