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Paper Citation Record · LEDGER

Circuit-centric quantum classifiers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1804.00633.

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

pith.paper-citation-record.v1
1804.00633 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:38.063342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:34.907103Z

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 a5059127-8b37-4eff-bf26-74cd60e41427 · inbound

PennyLane: Automatic differentiation of hybrid quantum-classical computations cites this paper.

PennyLane: Automatic differentiation of hybrid quantum-classical computations Circuit-centric quantum classifiers

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:14:44.175983Z

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=2026-05-10T15:14:44.070015Z digest=sha256:94c1ebd0647b0e9234cd01723446ac340dbd8ffae94af4b3cec64bf9310b4522

Observation 680958ff-deae-40f4-93b6-15e0c0826ff7 · inbound

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models cites this paper.

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models Circuit-centric quantum classifiers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:38.063342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:38.063342Z digest=sha256:2f2400810f7b5238bdb45676113fa194b98dfe01ec9b6ed578f47afdc6c60b94

Observation bc073c57-e1e9-465d-8d63-730f4edd2bf0 · inbound

Quantum Machine Learning for State Tomography Using Classical Data cites this paper.

Quantum Machine Learning for State Tomography Using Classical Data Circuit-centric quantum classifiers

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:22:07.655582Z

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=2026-05-19T06:20:49.682647Z digest=sha256:d54323da966fdb96182845300d195f466caf151f2b6c31fe374547b53581964a

Observation a96d01c9-04f5-4d97-ae0a-4d44fa06b11e · inbound

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics Circuit-centric quantum classifiers

Reference 26

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T06:42:26.685703Z

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=2026-05-18T06:41:57.161564Z digest=sha256:708d01c96aa7e7171be29e16580ea7f0575eeb88096caec42a43852f3d0ce6b9

Observation 5ea7fd30-7099-4cae-8d42-d6adf579fff5 · inbound

From Qubits to Couplings: A Hybrid Quantum Machine Learning Framework for LHC Physics cites this paper.

From Qubits to Couplings: A Hybrid Quantum Machine Learning Framework for LHC Physics Circuit-centric quantum classifiers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T21:24:04.298602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:24:04.298602Z digest=sha256:0e1847f08a6841c0cd9b64a0a3ee590e3f6b9729989c506bcb32715824755508

Observation 4460519a-cca0-4ebb-803c-de1f5735372f · inbound

Evaluating quantum circuits in the reservoir computing paradigm cites this paper.

Evaluating quantum circuits in the reservoir computing paradigm Circuit-centric quantum classifiers

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:27.084885Z

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=2026-05-09T15:14:32.033433Z digest=sha256:0288f81d0e19296f49d811a169b5021120ce68c71c5249b5c1d7e863f929bd13

Observation 4dc0dec0-62b3-4d63-b772-f044cd5d9fd6 · inbound

Evaluating quantum circuits in the reservoir computing paradigm cites this paper.

Evaluating quantum circuits in the reservoir computing paradigm Circuit-centric quantum classifiers

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:15:45.238690Z

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=2026-07-01T00:59:16.347722Z digest=sha256:f32774a7c39d07134940093d8fbbd6b6adfa23d5bfbe4d7c85abff52355c0812

Observation 9a266f24-6496-47ad-919f-8d5707654cf1 · inbound

Quantum Kernels are Spectral Tensor Networks cites this paper.

Quantum Kernels are Spectral Tensor Networks Circuit-centric quantum classifiers

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:29:34.908533Z

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=2026-06-26T16:59:38.105865Z digest=sha256:65db46d2b50eae8dea10429249770d1a8190c4567c0ab6ad9ef79fa973e90330

Observation ef942ef0-9853-4b8e-a0c0-4b70f7830e06 · inbound

When cheap gradients fail: the measurement cost of attacking quantum classifiers cites this paper.

When cheap gradients fail: the measurement cost of attacking quantum classifiers Circuit-centric quantum classifiers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-14T07:06:53.439022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:06:53.439022Z digest=sha256:4c70b209c4133ce50619614c70ad02981b35dcced757aff0429b7d1657061ad2