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Paper Citation Record · LEDGER

Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.05374.

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

pith.paper-citation-record.v1
1901.05374 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:12:27.616232Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T23:00:03.223882Z

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 728896ad-7323-4733-ada1-8da2473fb9cc · inbound

Learning to learn with quantum neural networks via classical neural networks cites this paper.

Learning to learn with quantum neural networks via classical neural networks Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-24T23:00:03.227061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T22:59:51.101448Z digest=sha256:980f220aa9d604abfe138af6f44fdff01bb2f027dc169a10f5d6e5123439b33d

Observation fd5af986-f689-4078-be65-20b1e429788e · inbound

A quantum algorithm to count weighted ground states of classical spin Hamiltonians cites this paper.

A quantum algorithm to count weighted ground states of classical spin Hamiltonians Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T15:12:27.616232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:12:27.616232Z digest=sha256:50d556fb650030dc0c9ff641ef70195d26efc0e2f5d33b3f4a0a87489692f275

Observation 274fb39a-3609-4694-8be6-0e792dd32fff · inbound

Quantum Natural Gradient cites this paper.

Quantum Natural Gradient Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T05:09:38.481184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:09:38.481184Z digest=sha256:3fd7f4dbedbbc06b1ba71cede0b913373e696364780a788f938ccdbdd1313b15